text: from numpy.ma import masked_array
  from numpy import array, nan, int32
  import os
  import inspect
  import logging
  import json
  
  def main():
      normal_nearest_centroid = {'split0_test_score': array([[ 0.01208703,         nan],
             [ 0.04109589,         nan]]), 'split1_test_score': array([[ 0.01168413,         nan],
             [ 0.03182917,         nan]]), 'split2_test_score': array([[ 0.00966962,         nan],
             [ 0.04029009,         nan]]), 'split3_test_score': array([[ 0.01128122,         nan],
             [ 0.05116841,         nan]]), 'split4_test_score': array([[ 0.01450443,         nan],
             [ 0.07695407,         nan]]), 'split5_test_score': array([[ 0.01007252,         nan],
             [ 0.06486704,         nan]]), 'split6_test_score': array([[ 0.01168413,         nan],
             [ 0.05076551,         nan]]), 'split7_test_score': array([[ 0.01168413,         nan],
             [ 0.05560032,         nan]]), 'split8_test_score': array([[ 0.01007252,         nan],
             [ 0.0455278 ,         nan]]), 'split9_test_score': array([[ 0.01208703,         nan],
             [ 0.0471394 ,         nan]]), 'mean_test_score': array([[ 0.01148268,         nan],
             [ 0.05052377,         nan]]), 'std_test_score': array([[ 0.00131484,         nan],
             [ 0.01228841,         nan]]), 'rank_test_score': array([2, 1], dtype=int32), 'split0_train_score': array([[ 0.16297787,         nan],
             [ 0.3637827 ,         nan]]), 'split1_train_score': array([[ 0.12240789,         nan],
             [ 0.32514596,         nan]]), 'split2_train_score': array([[ 0.09370385,         nan],
             [ 0.26580749,         nan]]), 'split3_train_score': array([[ 0.08569127,         nan],
             [ 0.24730641,         nan]]), 'split4_train_score': array([[ 0.08458874,         nan],
             [ 0.24490454,         nan]]), 'split5_train_score': array([[ 0.07700571,         nan],
             [ 0.24867405,         nan]]), 'split6_train_score': array([[ 0.0756172 ,         nan],
             [ 0.23761294,         nan]]), 'split7_train_score': array([[ 0.07422327,         nan],
             [ 0.22976988,         nan]]), 'split8_train_score': array([[ 0.0688868 ,         nan],
             [ 0.22389329,         nan]]), 'split9_train_score': array([[ 0.06832373,         nan],
             [ 0.22027958,         nan]]), 'mean_train_score': array([[ 0.09134263,         nan],
             [ 0.26071768,         nan]]), 'std_train_score': array([[ 0.02821317,         nan],
             [ 0.04456136,         nan]]), 'mean_fit_time': array([ 161.09156878,    1.45971053]), 'std_fit_time': array([ 104.06446498,    0.60522243]), 'mean_score_time': array([ 102.50422025,    0.29284933]), 'std_score_time': array([ 69.32672624,   0.08528075]), 'param_clf__metric': masked_array(data = ['manhattan', 'euclidean'],
                   mask = [False, False],
             fill_value = nan)
      , 'params': [{'clf__metric': 'manhattan'}, {'clf__metric': 'euclidean'}]}
      normal_multinomial_nb = {'split0_test_score': array([[  4.91539081e-02,  -1.00000000e+00],
             [  5.27800161e-02,  -1.00000000e+00],
             [  4.02900886e-03,   2.61842390e-01],
             [  1.45044319e-02,   2.72062467e-01],
             [  1.61160355e-03,   2.58734750e-01],
             [  5.64061241e-03,   2.63955334e-01],
             [  4.02900886e-04,   2.57278691e-01],
             [  4.02900886e-03,   2.61804480e-01],
             [  4.02900886e-04,   2.56513037e-01],
             [  2.41740532e-03,   2.60404876e-01],
             [  0.00000000e+00,   2.55757903e-01],
             [  2.01450443e-03,   2.59449607e-01],
             [  0.00000000e+00,   2.55266099e-01],
             [  8.05801773e-04,   2.58344294e-01],
             [  0.00000000e+00,   2.55166951e-01],
             [  4.02900886e-04,   2.57770671e-01],
             [  0.00000000e+00,   2.55006945e-01],
             [  4.02900886e-04,   2.57569331e-01],
             [  0.00000000e+00,   2.54678429e-01],
             [  0.00000000e+00,   2.57347975e-01],
             [  0.00000000e+00,   2.54532723e-01],
             [  0.00000000e+00,   2.57277656e-01]]), 'split1_test_score': array([[ 0.08299758, -1.        ],
             [ 0.07655117, -1.        ],
             [ 0.1809025 ,  0.32521738],
             [ 0.17123288,  0.32381771],
             [ 0.18775181,  0.32587354],
             [ 0.17848509,  0.32550654],
             [ 0.18775181,  0.3241402 ],
             [ 0.1821112 ,  0.32515325],
             [ 0.18896052,  0.32366645],
             [ 0.1817083 ,  0.32390368],
             [ 0.18815471,  0.32268745],
             [ 0.18493151,  0.32467814],
             [ 0.18936342,  0.3227319 ],
             [ 0.18614021,  0.32484773],
             [ 0.18855761,  0.3219949 ],
             [ 0.18815471,  0.32537964],
             [ 0.18896052,  0.32165955],
             [ 0.18734891,  0.3245943 ],
             [ 0.18896052,  0.32130721],
             [ 0.18815471,  0.32440898],
             [ 0.18855761,  0.32081351],
             [ 0.18896052,  0.32458708]]), 'split2_test_score': array([[ 0.0890411 , -1.        ],
             [ 0.08340048, -1.        ],
             [ 0.21434327,  0.38119764],
             [ 0.22240129,  0.39524034],
             [ 0.21595488,  0.37670529],
             [ 0.22199839,  0.38945668],
             [ 0.21555197,  0.37385973],
             [ 0.22199839,  0.38648709],
             [ 0.21474617,  0.3718793 ],
             [ 0.21998388,  0.38378669],
             [ 0.21474617,  0.37105659],
             [ 0.21958098,  0.38253629],
             [ 0.21474617,  0.37048278],
             [ 0.21958098,  0.38161332],
             [ 0.21474617,  0.3699213 ],
             [ 0.21877518,  0.38059584],
             [ 0.21474617,  0.36935406],
             [ 0.21837228,  0.37961131],
             [ 0.21474617,  0.36907448],
             [ 0.21917808,  0.3795274 ],
             [ 0.21474617,  0.36879818],
             [ 0.21877518,  0.37900832]]), 'split3_test_score': array([[ 0.10032232, -1.        ],
             [ 0.07816277, -1.        ],
             [ 0.19661563,  0.44733229],
             [ 0.20749396,  0.45592802],
             [ 0.18815471,  0.44015408],
             [ 0.20306205,  0.44966955],
             [ 0.1837228 ,  0.43680963],
             [ 0.19742143,  0.44509237],
             [ 0.1809025 ,  0.43458642],
             [ 0.19339243,  0.44228189],
             [ 0.1800967 ,  0.43336608],
             [ 0.19057212,  0.43999795],
             [ 0.17848509,  0.43180408],
             [ 0.19057212,  0.43956286],
             [ 0.17767929,  0.43091509],
             [ 0.19097502,  0.4393753 ],
             [ 0.17767929,  0.43064569],
             [ 0.18936342,  0.43781487],
             [ 0.17727639,  0.43007318],
             [ 0.18775181,  0.43688659],
             [ 0.17687349,  0.42962425],
             [ 0.18654311,  0.43603501]]), 'split4_test_score': array([[ 0.10878324, -1.        ],
             [ 0.0918614 , -1.        ],
             [ 0.20628525,  0.36998357],
             [ 0.20507655,  0.38096703],
             [ 0.19822724,  0.36149897],
             [ 0.20668815,  0.3741134 ],
             [ 0.19621273,  0.35905732],
             [ 0.20668815,  0.37029476],
             [ 0.19460113,  0.35744797],
             [ 0.20386785,  0.36694484],
             [ 0.19339243,  0.35598338],
             [ 0.20185334,  0.36502642],
             [ 0.19178082,  0.35472072],
             [ 0.19863014,  0.362923  ],
             [ 0.19178082,  0.35434694],
             [ 0.19742143,  0.36181703],
             [ 0.19137792,  0.35386273],
             [ 0.19621273,  0.36084873],
             [ 0.19137792,  0.35370769],
             [ 0.19661563,  0.36082667],
             [ 0.19137792,  0.35352926],
             [ 0.19621273,  0.36042952]]), 'split5_test_score': array([[ 0.09347301, -1.        ],
             [ 0.0886382 , -1.        ],
             [ 0.11321515,  0.22619126],
             [ 0.11885576,  0.24196899],
             [ 0.11039484,  0.21829236],
             [ 0.11603546,  0.23127526],
             [ 0.10797744,  0.2150662 ],
             [ 0.11361805,  0.22642029],
             [ 0.10757454,  0.21366094],
             [ 0.11240935,  0.22343013],
             [ 0.10676873,  0.21264658],
             [ 0.11079774,  0.22098669],
             [ 0.10556003,  0.2115189 ],
             [ 0.11039484,  0.21958019],
             [ 0.10556003,  0.21114128],
             [ 0.10999194,  0.21849822],
             [ 0.10475423,  0.21037845],
             [ 0.10999194,  0.2181481 ],
             [ 0.10475423,  0.2102367 ],
             [ 0.10958904,  0.21739317],
             [ 0.10475423,  0.20995928],
             [ 0.10878324,  0.21658153]]), 'split6_test_score': array([[ 0.06607575, -1.        ],
             [ 0.07010475, -1.        ],
             [ 0.05922643,  0.24770556],
             [ 0.06889605,  0.26849301],
             [ 0.05640612,  0.2379551 ],
             [ 0.06003223,  0.25313952],
             [ 0.05640612,  0.2350557 ],
             [ 0.05922643,  0.24791371],
             [ 0.05640612,  0.23298981],
             [ 0.05842063,  0.24400726],
             [ 0.05560032,  0.23119963],
             [ 0.05640612,  0.24099076],
             [ 0.05560032,  0.23026409],
             [ 0.05721193,  0.2402391 ],
             [ 0.05560032,  0.22945619],
             [ 0.05680902,  0.23887593],
             [ 0.05560032,  0.22874426],
             [ 0.05640612,  0.23775605],
             [ 0.05560032,  0.22804378],
             [ 0.05600322,  0.23694749],
             [ 0.05560032,  0.22753353],
             [ 0.05640612,  0.23607742]]), 'split7_test_score': array([[ 0.08420629, -1.        ],
             [ 0.07574537, -1.        ],
             [ 0.10958904,  0.23133335],
             [ 0.12127317,  0.24833677],
             [ 0.10676873,  0.22339612],
             [ 0.11200645,  0.23562855],
             [ 0.10636583,  0.22058875],
             [ 0.11079774,  0.23100625],
             [ 0.10596293,  0.21885607],
             [ 0.10838034,  0.22766559],
             [ 0.10596293,  0.21798592],
             [ 0.10757454,  0.22571523],
             [ 0.10596293,  0.21737919],
             [ 0.10757454,  0.22465401],
             [ 0.10596293,  0.21672846],
             [ 0.10797744,  0.22396537],
             [ 0.10596293,  0.21619705],
             [ 0.10676873,  0.22297265],
             [ 0.10596293,  0.21585279],
             [ 0.10676873,  0.22247865],
             [ 0.10596293,  0.21559088],
             [ 0.10717164,  0.22233684]]), 'split8_test_score': array([[ 0.08541499, -1.        ],
             [ 0.07735697, -1.        ],
             [ 0.11079774,  0.25058287],
             [ 0.12651088,  0.27103148],
             [ 0.10999194,  0.24318655],
             [ 0.11321515,  0.25467804],
             [ 0.10878324,  0.23930661],
             [ 0.11120064,  0.24951701],
             [ 0.10838034,  0.23722611],
             [ 0.11039484,  0.24681016],
             [ 0.10838034,  0.23609591],
             [ 0.10999194,  0.24478255],
             [ 0.10838034,  0.23537448],
             [ 0.10958904,  0.24333671],
             [ 0.10878324,  0.2345577 ],
             [ 0.10918614,  0.24208559],
             [ 0.10878324,  0.23392303],
             [ 0.10918614,  0.24118357],
             [ 0.10878324,  0.23338828],
             [ 0.10878324,  0.24024044],
             [ 0.10878324,  0.23288273],
             [ 0.10838034,  0.23937762]]), 'split9_test_score': array([[ 0.09548751, -1.        ],
             [ 0.08340048, -1.        ],
             [ 0.13295729,  0.26450968],
             [ 0.13980661,  0.27776247],
             [ 0.12852538,  0.25828782],
             [ 0.13376309,  0.26715904],
             [ 0.12610798,  0.25532419],
             [ 0.13094279,  0.26268401],
             [ 0.12489927,  0.25258245],
             [ 0.12933118,  0.26005988],
             [ 0.12409347,  0.25153215],
             [ 0.12691378,  0.25778643],
             [ 0.12409347,  0.25102121],
             [ 0.12651088,  0.25684321],
             [ 0.12409347,  0.2507941 ],
             [ 0.12610798,  0.25590713],
             [ 0.12369057,  0.25014954],
             [ 0.12570508,  0.25525177],
             [ 0.12369057,  0.24975475],
             [ 0.12449637,  0.25442925],
             [ 0.12369057,  0.24950761],
             [ 0.12489927,  0.25424791]]), 'mean_test_score': array([[ 0.08549557, -1.        ],
             [ 0.07780016, -1.        ],
             [ 0.13279613,  0.3005896 ],
             [ 0.13960516,  0.31356083],
             [ 0.13037873,  0.29440846],
             [ 0.13509267,  0.30445819],
             [ 0.12892828,  0.2916487 ],
             [ 0.13380338,  0.30063732],
             [ 0.12828364,  0.28994086],
             [ 0.13203062,  0.2979295 ],
             [ 0.12771958,  0.28883116],
             [ 0.13106366,  0.29619501],
             [ 0.12739726,  0.28805635],
             [ 0.13070105,  0.29519444],
             [ 0.12727639,  0.28750229],
             [ 0.13058018,  0.29442707],
             [ 0.12715552,  0.28699213],
             [ 0.12997583,  0.29357507],
             [ 0.12711523,  0.28661173],
             [ 0.12973409,  0.29304866],
             [ 0.12703465,  0.2862772 ],
             [ 0.12961322,  0.29259589]]), 'std_test_score': array([[ 0.01626023,  0.        ],
             [ 0.01034043,  0.        ],
             [ 0.06468164,  0.07203136],
             [ 0.06191847,  0.06914609],
             [ 0.06479598,  0.07261552],
             [ 0.06553602,  0.07200181],
             [ 0.06452405,  0.07265507],
             [ 0.06582578,  0.0723801 ],
             [ 0.06417067,  0.07262085],
             [ 0.06539667,  0.07245483],
             [ 0.06410557,  0.07260691],
             [ 0.06552909,  0.07267946],
             [ 0.06396762,  0.07247029],
             [ 0.06546444,  0.07280692],
             [ 0.06381407,  0.07240411],
             [ 0.06558144,  0.0730189 ],
             [ 0.06384224,  0.07250139],
             [ 0.06527621,  0.07279763],
             [ 0.06381046,  0.07250381],
             [ 0.06551272,  0.07290485],
             [ 0.0637399 ,  0.07249563],
             [ 0.06535893,  0.07288739]]), 'rank_test_score': array([21, 22,  4,  1,  9,  2, 13,  3, 14,  5, 15,  6, 16,  7, 17,  8, 18,
             10, 19, 11, 20, 12], dtype=int32), 'split0_train_score': array([[ 0.96861167,  0.98270959],
             [ 0.98470825,  0.99132797],
             [ 0.26197183,  0.40708735],
             [ 0.33963783,  0.47621914],
             [ 0.21207243,  0.36355335],
             [ 0.25955734,  0.40777728],
             [ 0.19476861,  0.34749813],
             [ 0.22655936,  0.37985211],
             [ 0.18832998,  0.33936853],
             [ 0.21006036,  0.36591393],
             [ 0.18148893,  0.33309074],
             [ 0.20120724,  0.35700649],
             [ 0.17545272,  0.32808762],
             [ 0.19637827,  0.35159921],
             [ 0.17384306,  0.32573231],
             [ 0.19235412,  0.34758893],
             [ 0.17263581,  0.3238625 ],
             [ 0.19034205,  0.34465762],
             [ 0.17142857,  0.3217723 ],
             [ 0.18511066,  0.34102075],
             [ 0.17022133,  0.32049451],
             [ 0.18350101,  0.33867145]]), 'split1_train_score': array([[ 0.9530904 ,  0.97227583],
             [ 0.97000201,  0.98236455],
             [ 0.27541776,  0.38577416],
             [ 0.35856654,  0.46081236],
             [ 0.21179787,  0.33437118],
             [ 0.26917657,  0.38482497],
             [ 0.17958526,  0.31112167],
             [ 0.23273606,  0.35475666],
             [ 0.1630763 ,  0.29854185],
             [ 0.20777129,  0.33514585],
             [ 0.15280854,  0.29098969],
             [ 0.1924703 ,  0.32339494],
             [ 0.14475539,  0.28484831],
             [ 0.18099456,  0.31454766],
             [ 0.1413328 ,  0.28156869],
             [ 0.17092813,  0.30727607],
             [ 0.13690356,  0.27781567],
             [ 0.16508959,  0.30243191],
             [ 0.13348097,  0.27495874],
             [ 0.16005637,  0.29834705],
             [ 0.12965573,  0.2720758 ],
             [ 0.15643245,  0.29557176]]), 'split2_train_score': array([[ 0.92616459,  0.95721961],
             [ 0.95569875,  0.97353847],
             [ 0.20123507,  0.34407519],
             [ 0.30285944,  0.43075282],
             [ 0.16861324,  0.30754925],
             [ 0.21653913,  0.35630666],
             [ 0.15505437,  0.29313558],
             [ 0.19009263,  0.33083817],
             [ 0.14793932,  0.28535406],
             [ 0.1751913 ,  0.31634135],
             [ 0.14579138,  0.28151312],
             [ 0.1682105 ,  0.30849293],
             [ 0.14310646,  0.27807147],
             [ 0.16257216,  0.30251018],
             [ 0.14136126,  0.27539362],
             [ 0.15854477,  0.29799491],
             [ 0.14069003,  0.27368163],
             [ 0.15599409,  0.29475502],
             [ 0.14042153,  0.27236828],
             [ 0.15330917,  0.29189874],
             [ 0.1397503 ,  0.27106829],
             [ 0.15196671,  0.28985937]]), 'split3_train_score': array([[ 0.90605176,  0.94589842],
             [ 0.94562481,  0.96760711],
             [ 0.21619172,  0.35742198],
             [ 0.3017823 ,  0.43264873],
             [ 0.18356661,  0.32236532],
             [ 0.2322022 ,  0.36910809],
             [ 0.17319505,  0.30975957],
             [ 0.20722989,  0.34491523],
             [ 0.16856309,  0.30285301],
             [ 0.19444165,  0.33187836],
             [ 0.16564294,  0.29850403],
             [ 0.18668815,  0.32372885],
             [ 0.16393112,  0.29551646],
             [ 0.18114993,  0.31813656],
             [ 0.16232001,  0.29301896],
             [ 0.17772631,  0.31389112],
             [ 0.16141375,  0.29108791],
             [ 0.17520894,  0.31085379],
             [ 0.16101098,  0.28968067],
             [ 0.17369852,  0.30841985],
             [ 0.16040681,  0.28842655],
             [ 0.17188601,  0.30605079]]), 'split4_train_score': array([[ 0.89446548,  0.93936521],
             [ 0.94312414,  0.96580883],
             [ 0.21018287,  0.34633779],
             [ 0.2863933 ,  0.41886676],
             [ 0.18496737,  0.31560655],
             [ 0.22371707,  0.35936868],
             [ 0.17803915,  0.30449011],
             [ 0.20446306,  0.33829894],
             [ 0.17352775,  0.29750611],
             [ 0.19423185,  0.3266313 ],
             [ 0.17135261,  0.29335935],
             [ 0.18810924,  0.31929519],
             [ 0.1697414 ,  0.29047149],
             [ 0.1832756 ,  0.31370055],
             [ 0.16804963,  0.28788572],
             [ 0.18085878,  0.30994156],
             [ 0.16676065,  0.28587693],
             [ 0.17908644,  0.30723141],
             [ 0.16579393,  0.28427353],
             [ 0.17795859,  0.30500954],
             [ 0.16506888,  0.28287483],
             [ 0.17666962,  0.30293707]]), 'split5_train_score': array([[ 0.88721047,  0.93521347],
             [ 0.93991272,  0.9634301 ],
             [ 0.20436388,  0.34173721],
             [ 0.28183954,  0.4152352 ],
             [ 0.18516281,  0.31303831],
             [ 0.22040953,  0.35643519],
             [ 0.17885196,  0.30130851],
             [ 0.20241692,  0.33577897],
             [ 0.17569654,  0.29441797],
             [ 0.19362202,  0.32399185],
             [ 0.17280967,  0.28960172],
             [ 0.18757972,  0.31627341],
             [ 0.17160121,  0.28644972],
             [ 0.18475999,  0.3116411 ],
             [ 0.17052702,  0.28389664],
             [ 0.18261161,  0.30798133],
             [ 0.16945284,  0.28184979],
             [ 0.18059752,  0.3047115 ],
             [ 0.16891574,  0.28027045],
             [ 0.17912051,  0.30211645],
             [ 0.16858006,  0.27871975],
             [ 0.17784491,  0.29998081]]), 'split6_train_score': array([[ 0.88553836,  0.93397514],
             [ 0.93784888,  0.9617034 ],
             [ 0.19151752,  0.3312512 ],
             [ 0.27398285,  0.40884239],
             [ 0.1736203 ,  0.3012102 ],
             [ 0.2092421 ,  0.34728783],
             [ 0.1682684 ,  0.28909412],
             [ 0.19065431,  0.32517609],
             [ 0.1651033 ,  0.28156023],
             [ 0.18133165,  0.31244382],
             [ 0.16268631,  0.27648499],
             [ 0.17684295,  0.30519937],
             [ 0.16159291,  0.27323897],
             [ 0.1737354 ,  0.29996154],
             [ 0.16090234,  0.27055783],
             [ 0.17160615,  0.29612269],
             [ 0.16009668,  0.26862406],
             [ 0.16970708,  0.29275941],
             [ 0.1596363 ,  0.26693142],
             [ 0.16861368,  0.29012359],
             [ 0.15929102,  0.26552759],
             [ 0.16809576,  0.28816432]]), 'split7_train_score': array([[ 0.88045722,  0.93027665],
             [ 0.93131578,  0.95751641],
             [ 0.17689712,  0.31842833],
             [ 0.26340702,  0.39784593],
             [ 0.15851755,  0.28788243],
             [ 0.19477315,  0.33431585],
             [ 0.15383453,  0.27572579],
             [ 0.17463115,  0.31112758],
             [ 0.15086359,  0.26834398],
             [ 0.16647364,  0.29907688],
             [ 0.14910116,  0.26365036],
             [ 0.16214311,  0.29144231],
             [ 0.14809406,  0.26012609],
             [ 0.15952465,  0.28634906],
             [ 0.14728838,  0.2573783 ],
             [ 0.15695654,  0.28209424],
             [ 0.14683519,  0.25537993],
             [ 0.15559696,  0.27900896],
             [ 0.14628128,  0.25349923],
             [ 0.15474092,  0.27655262],
             [ 0.14587844,  0.25203406],
             [ 0.15383453,  0.27446969]]), 'split8_train_score': array([[ 0.87440132,  0.92613329],
             [ 0.92896468,  0.95567124],
             [ 0.17040419,  0.3105543 ],
             [ 0.25692673,  0.3909731 ],
             [ 0.15326082,  0.28012276],
             [ 0.1887561 ,  0.32706767],
             [ 0.14829238,  0.26782376],
             [ 0.16955374,  0.30417651],
             [ 0.14551721,  0.26066693],
             [ 0.16069111,  0.29155074],
             [ 0.14377154,  0.25574924],
             [ 0.15666264,  0.28424403],
             [ 0.14305537,  0.25269039],
             [ 0.15370843,  0.27871284],
             [ 0.142563  ,  0.25019406],
             [ 0.15124659,  0.27449998],
             [ 0.14207063,  0.24813305],
             [ 0.15026185,  0.27147523],
             [ 0.14162302,  0.24640359],
             [ 0.1494114 ,  0.26911381],
             [ 0.14117542,  0.24493637],
             [ 0.14878475,  0.26704962]]), 'split9_train_score': array([[ 0.86858961,  0.92272044],
             [ 0.92623776,  0.95379272],
             [ 0.16585425,  0.30638835],
             [ 0.2534746 ,  0.38740059],
             [ 0.14885389,  0.2758565 ],
             [ 0.18402288,  0.3226912 ],
             [ 0.14385852,  0.26366153],
             [ 0.16533054,  0.30017541],
             [ 0.14128026,  0.25607301],
             [ 0.15707207,  0.28806213],
             [ 0.13991057,  0.25166379],
             [ 0.15243927,  0.28049081],
             [ 0.139266  ,  0.24840065],
             [ 0.14921645,  0.27485195],
             [ 0.13890344,  0.24600419],
             [ 0.14712162,  0.27073949],
             [ 0.13837973,  0.24391901],
             [ 0.14575192,  0.26748594],
             [ 0.13801716,  0.24220903],
             [ 0.14510736,  0.26513597],
             [ 0.13769488,  0.24079955],
             [ 0.14458365,  0.26308586]]), 'mean_train_score': array([[ 0.90445809,  0.94457877],
             [ 0.94634378,  0.96727608],
             [ 0.20740362,  0.34490559],
             [ 0.29188701,  0.4219597 ],
             [ 0.17804329,  0.31015559],
             [ 0.21983961,  0.35651834],
             [ 0.16737482,  0.29636188],
             [ 0.19636676,  0.33250957],
             [ 0.16198973,  0.28846857],
             [ 0.18408869,  0.31910362],
             [ 0.15853637,  0.2834607 ],
             [ 0.17723531,  0.31095683],
             [ 0.15605966,  0.27979012],
             [ 0.17253154,  0.30520106],
             [ 0.15470909,  0.27716303],
             [ 0.16899546,  0.30081303],
             [ 0.15352389,  0.27502305],
             [ 0.16676365,  0.29753708],
             [ 0.15266095,  0.27323673],
             [ 0.16471272,  0.29477384],
             [ 0.15177229,  0.27169573],
             [ 0.16335994,  0.29258407]]), 'std_train_score': array([[ 0.03236631,  0.01905917],
             [ 0.01782019,  0.01142456],
             [ 0.03466148,  0.03042586],
             [ 0.03302294,  0.02758263],
             [ 0.02093425,  0.02507214],
             [ 0.02679623,  0.02487005],
             [ 0.01559465,  0.02340004],
             [ 0.02163585,  0.02301386],
             [ 0.01445796,  0.0230241 ],
             [ 0.01791855,  0.02206377],
             [ 0.01346   ,  0.02259579],
             [ 0.01571247,  0.02144291],
             [ 0.01306736,  0.02217258],
             [ 0.01465352,  0.02129313],
             [ 0.01303868,  0.02219574],
             [ 0.01416398,  0.02124297],
             [ 0.01321312,  0.02221421],
             [ 0.01391559,  0.02126791],
             [ 0.01342366,  0.02216567],
             [ 0.01328434,  0.0209647 ],
             [ 0.01381893,  0.02220665],
             [ 0.01311968,  0.02086495]]), 'mean_fit_time': array([ 1.91040754,  1.87291167,  2.29160066,  2.29297094,  2.30809278,
              2.29489846,  2.26160052,  2.26686594,  2.29990544,  2.29541972,
              2.26234155,  2.26238027,  2.26269307,  2.25345817,  2.26508651,
              2.25609899,  2.28951902,  2.29632962,  2.28862154,  2.29347239,
              2.10660892,  2.11066496]), 'std_fit_time': array([ 1.10675053,  1.1010338 ,  1.38654301,  1.38571731,  1.39739112,
              1.38450651,  1.35248615,  1.36105357,  1.39216376,  1.37597236,
              1.36309588,  1.35670498,  1.36372175,  1.35900258,  1.36913556,
              1.3594218 ,  1.38164445,  1.37853106,  1.37845674,  1.38558935,
              1.25866252,  1.27515202]), 'mean_score_time': array([ 0.76806333,  0.76499422,  1.48381059,  1.48084733,  1.48889937,
              1.48453267,  1.48919947,  1.50198183,  1.48741591,  1.49861443,
              1.49053297,  1.49092634,  1.49487793,  1.49211512,  1.48933148,
              1.48171184,  1.48472044,  1.48716249,  1.4824672 ,  1.48546598,
              1.48815551,  1.48518174]), 'std_score_time': array([ 0.24317193,  0.24201871,  0.42813381,  0.42513591,  0.43327292,
              0.42733627,  0.42693852,  0.42261377,  0.41756293,  0.40869414,
              0.4174212 ,  0.41742497,  0.41129592,  0.42079227,  0.41610776,
              0.42278617,  0.42464145,  0.42185926,  0.42584061,  0.42525368,
              0.4320286 ,  0.43311478]), 'param_clf__alpha': masked_array(data = [0.0, 0.0, 0.10000000000000001, 0.10000000000000001, 0.20000000000000001,
       0.20000000000000001, 0.30000000000000004, 0.30000000000000004,
       0.40000000000000002, 0.40000000000000002, 0.5, 0.5, 0.60000000000000009,
       0.60000000000000009, 0.70000000000000007, 0.70000000000000007,
       0.80000000000000004, 0.80000000000000004, 0.90000000000000002,
       0.90000000000000002, 1.0, 1.0],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__fit_prior': masked_array(data = [True, False, True, False, True, False, True, False, True, False, True, False, True,
       False, True, False, True, False, True, False, True, False],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__alpha': 0.0, 'clf__fit_prior': True}, {'clf__alpha': 0.0, 'clf__fit_prior': False}, {'clf__alpha': 0.10000000000000001, 'clf__fit_prior': True}, {'clf__alpha': 0.10000000000000001, 'clf__fit_prior': False}, {'clf__alpha': 0.20000000000000001, 'clf__fit_prior': True}, {'clf__alpha': 0.20000000000000001, 'clf__fit_prior': False}, {'clf__alpha': 0.30000000000000004, 'clf__fit_prior': True}, {'clf__alpha': 0.30000000000000004, 'clf__fit_prior': False}, {'clf__alpha': 0.40000000000000002, 'clf__fit_prior': True}, {'clf__alpha': 0.40000000000000002, 'clf__fit_prior': False}, {'clf__alpha': 0.5, 'clf__fit_prior': True}, {'clf__alpha': 0.5, 'clf__fit_prior': False}, {'clf__alpha': 0.60000000000000009, 'clf__fit_prior': True}, {'clf__alpha': 0.60000000000000009, 'clf__fit_prior': False}, {'clf__alpha': 0.70000000000000007, 'clf__fit_prior': True}, {'clf__alpha': 0.70000000000000007, 'clf__fit_prior': False}, {'clf__alpha': 0.80000000000000004, 'clf__fit_prior': True}, {'clf__alpha': 0.80000000000000004, 'clf__fit_prior': False}, {'clf__alpha': 0.90000000000000002, 'clf__fit_prior': True}, {'clf__alpha': 0.90000000000000002, 'clf__fit_prior': False}, {'clf__alpha': 1.0, 'clf__fit_prior': True}, {'clf__alpha': 1.0, 'clf__fit_prior': False}]}
      normal_linear_svc = {'split0_test_score': array([[ 0.        ,  0.24972973],
             [ 0.        ,  0.24975985],
             [ 0.        ,  0.2417217 ],
             [ 0.02739726,  0.24277818],
             [ 0.00362611,  0.16861173],
             [ 0.00322321,  0.16831913],
             [ 0.00604351,  0.18019883],
             [ 0.00966962,  0.19992914],
             [ 0.01369863,  0.20904659],
             [ 0.01128122,  0.22276497],
             [ 0.03706688,  0.24963251],
             [ 0.01933924,  0.23370815],
             [ 0.07534247,  0.27906983],
             [ 0.05640612,  0.26390358],
             [ 0.07937147,  0.27639306],
             [ 0.08219178,  0.2791002 ],
             [ 0.07373086,  0.27170174],
             [ 0.07252216,  0.27136543],
             [ 0.07050766,  0.2699338 ],
             [ 0.06970185,  0.26955015]]), 'split1_test_score': array([[ 0.18614021,  0.3149365 ],
             [ 0.18614021,  0.31511456],
             [ 0.15954875,  0.29241906],
             [ 0.07050766,  0.20599018],
             [ 0.00443191,  0.1059893 ],
             [ 0.00564061,  0.10670181],
             [ 0.00886382,  0.12429369],
             [ 0.01813054,  0.14880696],
             [ 0.02377115,  0.16490153],
             [ 0.01974214,  0.17710373],
             [ 0.0463336 ,  0.20434228],
             [ 0.03102337,  0.19015973],
             [ 0.06728445,  0.21936121],
             [ 0.05439162,  0.20754708],
             [ 0.08299758,  0.22741294],
             [ 0.07131346,  0.21574221],
             [ 0.0906527 ,  0.2305561 ],
             [ 0.0914585 ,  0.23283904],
             [ 0.09387591,  0.23008414],
             [ 0.0914585 ,  0.22882235]]), 'split2_test_score': array([[ 0.21474617,  0.36405589],
             [ 0.21474617,  0.3604731 ],
             [ 0.1385979 ,  0.27927793],
             [ 0.044722  ,  0.18989173],
             [ 0.00282031,  0.11175971],
             [ 0.00362611,  0.11274441],
             [ 0.00805802,  0.13026745],
             [ 0.01732474,  0.18196849],
             [ 0.02538276,  0.17907501],
             [ 0.02256245,  0.20242424],
             [ 0.06124093,  0.2416142 ],
             [ 0.03384367,  0.2166906 ],
             [ 0.10394843,  0.28065663],
             [ 0.06728445,  0.24758434],
             [ 0.12933118,  0.29329126],
             [ 0.11643836,  0.28221572],
             [ 0.1361805 ,  0.2937612 ],
             [ 0.14020951,  0.29517546],
             [ 0.13336019,  0.29078926],
             [ 0.1349718 ,  0.29066608]]), 'split3_test_score': array([[ 0.17566479,  0.43260382],
             [ 0.17566479,  0.43749594],
             [ 0.0918614 ,  0.33436206],
             [ 0.05318292,  0.27277513],
             [ 0.00886382,  0.21693601],
             [ 0.00886382,  0.21566936],
             [ 0.01893634,  0.24284444],
             [ 0.02135375,  0.2671706 ],
             [ 0.03545528,  0.280778  ],
             [ 0.02336825,  0.28791399],
             [ 0.05036261,  0.3123586 ],
             [ 0.03787268,  0.30134204],
             [ 0.06929895,  0.33040608],
             [ 0.04995971,  0.31132064],
             [ 0.09508461,  0.34810247],
             [ 0.07655117,  0.33110381],
             [ 0.10596293,  0.3531803 ],
             [ 0.10515713,  0.35188404],
             [ 0.11039484,  0.35242563],
             [ 0.11120064,  0.3511539 ]]), 'split4_test_score': array([[ 0.18936342,  0.35021868],
             [ 0.18976632,  0.35626935],
             [ 0.03344077,  0.19573765],
             [ 0.04149879,  0.19155447],
             [ 0.00765512,  0.13397821],
             [ 0.01490733,  0.14218862],
             [ 0.02820306,  0.17545243],
             [ 0.02578566,  0.19587865],
             [ 0.07373086,  0.24395523],
             [ 0.02780016,  0.21762036],
             [ 0.11079774,  0.29018961],
             [ 0.06325544,  0.25155217],
             [ 0.12570508,  0.30498751],
             [ 0.11281225,  0.29176729],
             [ 0.12731668,  0.30656741],
             [ 0.12288477,  0.29876398],
             [ 0.13900081,  0.31315313],
             [ 0.13940371,  0.31356525],
             [ 0.14182111,  0.31253667],
             [ 0.13940371,  0.31350688]]), 'split5_test_score': array([[ 0.10394843,  0.20623826],
             [ 0.10475423,  0.21488092],
             [ 0.01893634,  0.11520429],
             [ 0.03062047,  0.11556804],
             [ 0.00846092,  0.08385898],
             [ 0.00846092,  0.0881769 ],
             [ 0.02054795,  0.12078268],
             [ 0.03344077,  0.1568729 ],
             [ 0.06365834,  0.18858454],
             [ 0.03303787,  0.16836009],
             [ 0.0922643 ,  0.22510387],
             [ 0.06043513,  0.19562293],
             [ 0.11321515,  0.23979095],
             [ 0.08823529,  0.21390755],
             [ 0.13215149,  0.25265594],
             [ 0.11724416,  0.23725114],
             [ 0.14383562,  0.25905725],
             [ 0.14302981,  0.25700788],
             [ 0.14504432,  0.25766764],
             [ 0.14665592,  0.25886423]]), 'split6_test_score': array([[ 0.05519742,  0.22236645],
             [ 0.05560032,  0.23494004],
             [ 0.00322321,  0.13896148],
             [ 0.00765512,  0.14165363],
             [ 0.00523771,  0.13810863],
             [ 0.00886382,  0.1415995 ],
             [ 0.01490733,  0.16909399],
             [ 0.02699436,  0.20989509],
             [ 0.0443191 ,  0.23378512],
             [ 0.02739726,  0.22562584],
             [ 0.08622079,  0.283826  ],
             [ 0.05560032,  0.25137358],
             [ 0.10958904,  0.29638573],
             [ 0.0902498 ,  0.27708206],
             [ 0.11200645,  0.29174336],
             [ 0.11321515,  0.29137651],
             [ 0.11160355,  0.28617619],
             [ 0.11079774,  0.28327972],
             [ 0.11240935,  0.28654259],
             [ 0.10999194,  0.28655885]]), 'split7_test_score': array([[ 0.10596293,  0.21343463],
             [ 0.10596293,  0.22372548],
             [ 0.00684932,  0.07980993],
             [ 0.01571313,  0.08808872],
             [ 0.00926672,  0.07774721],
             [ 0.00966962,  0.08094972],
             [ 0.01893634,  0.10902344],
             [ 0.03223207,  0.14634218],
             [ 0.05318292,  0.17316379],
             [ 0.02699436,  0.16152979],
             [ 0.08702659,  0.21600263],
             [ 0.05237712,  0.18773109],
             [ 0.09951652,  0.22362761],
             [ 0.0898469 ,  0.213471  ],
             [ 0.10072522,  0.21991067],
             [ 0.09911362,  0.21477471],
             [ 0.10435133,  0.2197669 ],
             [ 0.10233683,  0.21810897],
             [ 0.10556003,  0.21930527],
             [ 0.10435133,  0.21841437]]), 'split8_test_score': array([[ 0.10878324,  0.22918626],
             [ 0.10676873,  0.24222629],
             [ 0.00725222,  0.08494446],
             [ 0.00846092,  0.08547524],
             [ 0.00684932,  0.08483248],
             [ 0.01007252,  0.08887031],
             [ 0.01369863,  0.11243205],
             [ 0.02538276,  0.15333334],
             [ 0.04311039,  0.17320475],
             [ 0.02417405,  0.17116463],
             [ 0.08541499,  0.22790956],
             [ 0.0463336 ,  0.19622207],
             [ 0.10233683,  0.24187576],
             [ 0.08340048,  0.22395915],
             [ 0.11079774,  0.2434186 ],
             [ 0.09911362,  0.23357481],
             [ 0.11724416,  0.24353407],
             [ 0.11764706,  0.24156734],
             [ 0.12248187,  0.24592235],
             [ 0.11724416,  0.23981885]]), 'split9_test_score': array([[ 0.12369057,  0.2447026 ],
             [ 0.12328767,  0.24859137],
             [ 0.01007252,  0.08586234],
             [ 0.01248993,  0.08876155],
             [ 0.00966962,  0.08497063],
             [ 0.01248993,  0.08986105],
             [ 0.01772764,  0.10936308],
             [ 0.02820306,  0.15376118],
             [ 0.04149879,  0.16502881],
             [ 0.03464948,  0.1731183 ],
             [ 0.07413376,  0.21541275],
             [ 0.0455278 ,  0.18798868],
             [ 0.09750201,  0.23184686],
             [ 0.08138598,  0.21639431],
             [ 0.10556003,  0.23244389],
             [ 0.09387591,  0.22364445],
             [ 0.10636583,  0.22974699],
             [ 0.10757454,  0.2283664 ],
             [ 0.10838034,  0.22935033],
             [ 0.11200645,  0.23063116]]), 'mean_test_score': array([[ 0.12634972,  0.28274728],
             [ 0.12626914,  0.28834769],
             [ 0.04697824,  0.18483009],
             [ 0.03122482,  0.16225369],
             [ 0.00668815,  0.12067929],
             [ 0.00858179,  0.12350808],
             [ 0.01559226,  0.14737521],
             [ 0.02385173,  0.18139585],
             [ 0.04178082,  0.20115234],
             [ 0.02510073,  0.20076259],
             [ 0.07308622,  0.2466392 ],
             [ 0.04456084,  0.22123911],
             [ 0.09637389,  0.26480082],
             [ 0.07739726,  0.2466937 ],
             [ 0.10753425,  0.26919396],
             [ 0.0991942 ,  0.26075475],
             [ 0.11289283,  0.27006339],
             [ 0.1130137 ,  0.26931595],
             [ 0.11438356,  0.26945577],
             [ 0.11369863,  0.26879868]]), 'std_test_score': array([[ 0.06328628,  0.07373375],
             [ 0.06331423,  0.0709927 ],
             [ 0.05720347,  0.09163181],
             [ 0.01998344,  0.06452507],
             [ 0.00236445,  0.0425416 ],
             [ 0.00347547,  0.04119187],
             [ 0.00638582,  0.04137777],
             [ 0.00692662,  0.03628557],
             [ 0.0174917 ,  0.03758772],
             [ 0.00632708,  0.03711296],
             [ 0.02231518,  0.0348569 ],
             [ 0.01329475,  0.03591095],
             [ 0.01855865,  0.03656316],
             [ 0.01889124,  0.03546089],
             [ 0.01761691,  0.03902211],
             [ 0.01728703,  0.03864861],
             [ 0.02096154,  0.04016211],
             [ 0.02161686,  0.04024233],
             [ 0.02144285,  0.0398167 ],
             [ 0.02180048,  0.04013396]]), 'rank_test_score': array([ 1,  2, 12, 15, 20, 19, 18, 17, 14, 16, 11, 13,  9, 10,  7,  8,  6,
              5,  3,  4], dtype=int32), 'split0_train_score': array([[ 0.16458753,  0.31201419],
             [ 0.16458753,  0.30767615],
             [ 0.1750503 ,  0.35502671],
             [ 0.19637827,  0.36672858],
             [ 0.13963783,  0.19413248],
             [ 0.17263581,  0.22996101],
             [ 0.21207243,  0.27831333],
             [ 0.36780684,  0.45733016],
             [ 0.37625755,  0.48693062],
             [ 0.80080483,  0.8571679 ],
             [ 0.78953722,  0.85779841],
             [ 0.94486922,  0.95420598],
             [ 0.97665996,  0.98191479],
             [ 0.95653924,  0.96066555],
             [ 0.99798793,  0.99834919],
             [ 0.97344064,  0.97455134],
             [ 1.        ,  1.        ],
             [ 0.99798793,  0.99808087],
             [ 1.        ,  1.        ],
             [ 1.        ,  1.        ]]), 'split1_train_score': array([[ 0.11254278,  0.25119387],
             [ 0.11254278,  0.24538936],
             [ 0.18602778,  0.30215268],
             [ 0.17837729,  0.28493688],
             [ 0.10730823,  0.14379084],
             [ 0.12965573,  0.17182013],
             [ 0.16247232,  0.23982084],
             [ 0.40608013,  0.51305594],
             [ 0.39339642,  0.50171978],
             [ 0.80793235,  0.86578502],
             [ 0.75216428,  0.82246602],
             [ 0.93235353,  0.9431678 ],
             [ 0.96255285,  0.97243699],
             [ 0.94060801,  0.94655865],
             [ 0.99677874,  0.99742918],
             [ 0.96134488,  0.96375766],
             [ 0.99979867,  0.99989934],
             [ 0.99536944,  0.99580419],
             [ 0.99979867,  0.99989934],
             [ 0.99979867,  0.99989934]]), 'split2_train_score': array([[ 0.13706538,  0.25549211],
             [ 0.13706538,  0.24948259],
             [ 0.16565982,  0.23301459],
             [ 0.15049   ,  0.2197935 ],
             [ 0.09477782,  0.12800956],
             [ 0.11988186,  0.16165496],
             [ 0.15451738,  0.22482196],
             [ 0.40569204,  0.52325154],
             [ 0.36420996,  0.47654482],
             [ 0.8035978 ,  0.8635928 ],
             [ 0.72009666,  0.79914347],
             [ 0.92576185,  0.93671256],
             [ 0.94428782,  0.95899712],
             [ 0.93354813,  0.94092186],
             [ 0.98791784,  0.98977828],
             [ 0.94697275,  0.95066112],
             [ 0.99798631,  0.99835662],
             [ 0.98442744,  0.98537315],
             [ 0.99946302,  0.99973151],
             [ 0.99812055,  0.99827125]]), 'split3_train_score': array([[ 0.15647971,  0.27128476],
             [ 0.15647971,  0.27187552],
             [ 0.15436512,  0.21469306],
             [ 0.13483033,  0.18996919],
             [ 0.09253852,  0.12443966],
             [ 0.11972611,  0.15861039],
             [ 0.15204914,  0.21838594],
             [ 0.41224449,  0.53072849],
             [ 0.3482026 ,  0.45605505],
             [ 0.79045413,  0.8531322 ],
             [ 0.68824892,  0.7730142 ],
             [ 0.91239553,  0.92571241],
             [ 0.928406  ,  0.94572012],
             [ 0.91863861,  0.92810881],
             [ 0.97976035,  0.98229317],
             [ 0.93444769,  0.93957282],
             [ 0.99446179,  0.99497352],
             [ 0.97522908,  0.97635499],
             [ 0.99939583,  0.99961366],
             [ 0.99355553,  0.9939604 ]]), 'split4_train_score': array([[ 0.1603158 ,  0.26812855],
             [ 0.16144365,  0.27181552],
             [ 0.12639974,  0.1852404 ],
             [ 0.12059937,  0.17045846],
             [ 0.092242  ,  0.12608611],
             [ 0.12349956,  0.16312046],
             [ 0.1603158 ,  0.22777087],
             [ 0.42705228,  0.54528909],
             [ 0.35511158,  0.46144444],
             [ 0.79054217,  0.85265421],
             [ 0.68017401,  0.76259819],
             [ 0.90808024,  0.92165113],
             [ 0.91122211,  0.9329189 ],
             [ 0.9149279 ,  0.92468488],
             [ 0.97244824,  0.97600175],
             [ 0.92838154,  0.93421156],
             [ 0.99162169,  0.99243003],
             [ 0.96552002,  0.96717473],
             [ 0.99854991,  0.9989061 ],
             [ 0.99049384,  0.99097092]]), 'split5_train_score': array([[ 0.16515609,  0.2683923 ],
             [ 0.16629742,  0.27512028],
             [ 0.09499832,  0.1532519 ],
             [ 0.10721719,  0.1541974 ],
             [ 0.09144008,  0.12407302],
             [ 0.12386707,  0.1656929 ],
             [ 0.15394428,  0.22531464],
             [ 0.43296408,  0.55110551],
             [ 0.36401477,  0.47019994],
             [ 0.79080228,  0.85260637],
             [ 0.67532729,  0.75703455],
             [ 0.90600873,  0.91973616],
             [ 0.90097348,  0.92593882],
             [ 0.91178248,  0.92198934],
             [ 0.96710305,  0.97151684],
             [ 0.9252098 ,  0.93193895],
             [ 0.98791541,  0.98901288],
             [ 0.95938234,  0.96149154],
             [ 0.99677744,  0.99737511],
             [ 0.98670695,  0.98737607]]), 'split6_train_score': array([[ 0.15641365,  0.25735699],
             [ 0.15946366,  0.27272528],
             [ 0.07245209,  0.11714637],
             [ 0.09616159,  0.1365584 ],
             [ 0.08804742,  0.11945825],
             [ 0.11958336,  0.16045094],
             [ 0.14887495,  0.21769994],
             [ 0.43810784,  0.55878505],
             [ 0.35207458,  0.46569978],
             [ 0.79150601,  0.85315904],
             [ 0.68642458,  0.76603905],
             [ 0.90470162,  0.91849127],
             [ 0.90291765,  0.92739832],
             [ 0.91034126,  0.92077443],
             [ 0.96564424,  0.97050618],
             [ 0.92754791,  0.93382767],
             [ 0.98756978,  0.98890442],
             [ 0.96058008,  0.96286882],
             [ 0.99654716,  0.99718477],
             [ 0.98595845,  0.98694908]]), 'split7_train_score': array([[ 0.14376353,  0.2446594 ],
             [ 0.1509643 ,  0.26914864],
             [ 0.06908706,  0.10124638],
             [ 0.08741628,  0.1208742 ],
             [ 0.08877587,  0.11767039],
             [ 0.1197442 ,  0.1570505 ],
             [ 0.14456921,  0.20951883],
             [ 0.42635581,  0.54891126],
             [ 0.33546503,  0.450452  ],
             [ 0.79067425,  0.85223369],
             [ 0.68351881,  0.76401506],
             [ 0.90548366,  0.91894894],
             [ 0.89979354,  0.92534635],
             [ 0.91082129,  0.92093066],
             [ 0.9657586 ,  0.97064899],
             [ 0.92577673,  0.93294614],
             [ 0.98564882,  0.98733039],
             [ 0.95860819,  0.96152978],
             [ 0.99556876,  0.99644138],
             [ 0.98494385,  0.98600963]]), 'split8_train_score': array([[ 0.13956403,  0.2395617 ],
             [ 0.14533817,  0.26814946],
             [ 0.06709637,  0.09238451],
             [ 0.0794951 ,  0.10910557],
             [ 0.08697014,  0.11454105],
             [ 0.116557  ,  0.15272945],
             [ 0.14162302,  0.2053595 ],
             [ 0.42916611,  0.55086635],
             [ 0.32840965,  0.44448549],
             [ 0.78756546,  0.85014273],
             [ 0.68090059,  0.7617886 ],
             [ 0.90228727,  0.91616268],
             [ 0.89485699,  0.92166962],
             [ 0.90873282,  0.91903733],
             [ 0.96454948,  0.96964247],
             [ 0.92498098,  0.93193828],
             [ 0.98446802,  0.9862555 ],
             [ 0.957343  ,  0.96035202],
             [ 0.99583725,  0.99650815],
             [ 0.98214046,  0.98371741]]), 'split9_train_score': array([[ 0.13648632,  0.23566906],
             [ 0.14405994,  0.26562899],
             [ 0.06465778,  0.08719726],
             [ 0.07529307,  0.10198775],
             [ 0.08689522,  0.11430817],
             [ 0.12077509,  0.15627143],
             [ 0.14192483,  0.20354435],
             [ 0.43632921,  0.55751022],
             [ 0.32199976,  0.43738323],
             [ 0.78415179,  0.84738888],
             [ 0.67554284,  0.75735037],
             [ 0.89840068,  0.91308131],
             [ 0.89203561,  0.91944537],
             [ 0.9056923 ,  0.91649042],
             [ 0.96237361,  0.96830719],
             [ 0.92257181,  0.92981521],
             [ 0.98332192,  0.98531562],
             [ 0.95512227,  0.95843049],
             [ 0.99436007,  0.99518581],
             [ 0.98162994,  0.9829425 ]]), 'mean_train_score': array([[ 0.14723748,  0.26037529],
             [ 0.14982425,  0.26970118],
             [ 0.11757944,  0.18413538],
             [ 0.12262585,  0.18546099],
             [ 0.09686331,  0.13065095],
             [ 0.12659258,  0.16773622],
             [ 0.15723634,  0.22505502],
             [ 0.41817988,  0.53368336],
             [ 0.35391419,  0.46509152],
             [ 0.79380311,  0.85478628],
             [ 0.70319352,  0.78212479],
             [ 0.91403423,  0.92678702],
             [ 0.9213706 ,  0.94117864],
             [ 0.9211632 ,  0.93001619],
             [ 0.97603221,  0.97944732],
             [ 0.93706747,  0.94232208],
             [ 0.99127924,  0.99224783],
             [ 0.97095698,  0.97274606],
             [ 0.99762981,  0.99808458],
             [ 0.99033482,  0.99100966]]), 'std_train_score': array([[ 0.01567321,  0.02077938],
             [ 0.0153912 ,  0.0158397 ],
             [ 0.04688061,  0.08751184],
             [ 0.0396929 ,  0.08032171],
             [ 0.0153393 ,  0.02265527],
             [ 0.01571345,  0.02135006],
             [ 0.01948748,  0.0206217 ],
             [ 0.02021479,  0.0292165 ],
             [ 0.02076757,  0.018649  ],
             [ 0.00722892,  0.00549255],
             [ 0.03687639,  0.0321736 ],
             [ 0.01438431,  0.01275488],
             [ 0.02866394,  0.02137431],
             [ 0.01591896,  0.01378369],
             [ 0.013008  ,  0.01117055],
             [ 0.01675631,  0.0147418 ],
             [ 0.00608565,  0.00541488],
             [ 0.0154471 ,  0.01444166],
             [ 0.00194162,  0.00166098],
             [ 0.00676975,  0.00627885]]), 'mean_fit_time': array([ 26.32697105,  13.8101306 ,  22.27685049,  12.71807187,
              18.82150879,  14.42718177,  19.47482507,  19.52631416,
              21.61788507,  25.00086064,  23.54338908,  26.93505316,
              30.16116357,  30.52163551,  37.21348267,  34.73943779,
              37.57214141,  36.4928112 ,  37.50099638,  36.79474478]), 'std_fit_time': array([ 18.50292642,  10.55872354,  16.44261958,   9.37104437,
              13.9930322 ,  10.84478019,  14.24054011,  14.4232039 ,
              15.70868232,  18.18629178,  17.20112425,  19.3712334 ,
              21.19459899,  21.73003202,  25.85606089,  24.28197607,
              25.75032215,  24.72445947,  25.22651219,  24.47450358]), 'mean_score_time': array([ 0.84926448,  0.83539367,  0.83641586,  0.8395551 ,  0.84165175,
              0.83547118,  0.83590729,  0.86030159,  0.84678509,  0.83832891,
              0.83460612,  0.83541515,  0.83459275,  0.84748828,  0.83403919,
              0.83145266,  0.8375942 ,  0.83181036,  0.8409246 ,  0.83723953]), 'std_score_time': array([ 0.1182042 ,  0.11323654,  0.10705223,  0.11007629,  0.12621266,
              0.12603048,  0.11066719,  0.12010843,  0.10141609,  0.1092202 ,
              0.12351331,  0.11734459,  0.10977724,  0.11318873,  0.11704182,
              0.11594394,  0.12271748,  0.11263822,  0.12474012,  0.11304201]), 'param_clf__C': masked_array(data = [0.0001, 0.0001, 0.00077426368268112698, 0.00077426368268112698,
       0.0059948425031894088, 0.0059948425031894088, 0.046415888336127774,
       0.046415888336127774, 0.35938136638046259, 0.35938136638046259,
       2.7825594022071258, 2.7825594022071258, 21.544346900318821,
       21.544346900318821, 166.81005372000558, 166.81005372000558,
       1291.5496650148827, 1291.5496650148827, 10000.0, 10000.0],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__loss': masked_array(data = ['squared_hinge', 'hinge', 'squared_hinge', 'hinge', 'squared_hinge', 'hinge',
       'squared_hinge', 'hinge', 'squared_hinge', 'hinge', 'squared_hinge', 'hinge',
       'squared_hinge', 'hinge', 'squared_hinge', 'hinge', 'squared_hinge', 'hinge',
       'squared_hinge', 'hinge'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__C': 0.0001, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.0001, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.00077426368268112698, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.00077426368268112698, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.0059948425031894088, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.0059948425031894088, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.046415888336127774, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.046415888336127774, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.35938136638046259, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.35938136638046259, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 2.7825594022071258, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 2.7825594022071258, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 21.544346900318821, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 21.544346900318821, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 166.81005372000558, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 166.81005372000558, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 1291.5496650148827, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 1291.5496650148827, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 10000.0, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 10000.0, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}]}
      normal_primal_logistic_regression = {'split0_test_score': array([[ 0.0020145 ,  0.16094944],
             [ 0.        ,  0.15642552],
             [ 0.0020145 ,  0.16304579],
             [ 0.0020145 ,  0.16095279],
             [ 0.00443191,  0.16232971],
             [ 0.0020145 ,  0.16304119],
             [ 0.0020145 ,  0.16098261],
             [ 0.0020145 ,  0.1608162 ],
             [ 0.0020145 ,  0.16098005],
             [ 0.0020145 ,  0.16118155],
             [ 0.0020145 ,  0.16124918],
             [ 0.0020145 ,  0.16118198],
             [ 0.00241741,  0.16394698],
             [ 0.00241741,  0.16398465],
             [ 0.00241741,  0.16394716],
             [ 0.01651894,  0.20281273],
             [ 0.00805802,  0.19234075],
             [ 0.01651894,  0.20281395],
             [ 0.06003223,  0.28605491],
             [ 0.06043513,  0.28297813],
             [ 0.06003223,  0.28605015],
             [ 0.0926672 ,  0.32716861],
             [ 0.0910556 ,  0.32392446],
             [ 0.0926672 ,  0.32704184],
             [ 0.08783239,  0.31896379],
             [ 0.09427881,  0.32739047],
             [ 0.08219178,  0.30799508],
             [ 0.08541499,  0.31247883],
             [ 0.0910556 ,  0.32531501],
             [ 0.07896857,  0.29911365]]), 'split1_test_score': array([[ 0.00362611,  0.09950236],
             [ 0.        ,  0.09392622],
             [ 0.0008058 ,  0.09458397],
             [ 0.00362611,  0.09951073],
             [ 0.0016116 ,  0.09779299],
             [ 0.0008058 ,  0.09465672],
             [ 0.00362611,  0.09953951],
             [ 0.00362611,  0.09955647],
             [ 0.00362611,  0.09954122],
             [ 0.00362611,  0.09985145],
             [ 0.00362611,  0.09987157],
             [ 0.00362611,  0.09985273],
             [ 0.00362611,  0.10400106],
             [ 0.00362611,  0.10413468],
             [ 0.00362611,  0.10400072],
             [ 0.02780016,  0.15945907],
             [ 0.01087832,  0.13644277],
             [ 0.02780016,  0.15945908],
             [ 0.06043513,  0.22185902],
             [ 0.06003223,  0.21917711],
             [ 0.06043513,  0.22182435],
             [ 0.0918614 ,  0.26809246],
             [ 0.0890411 ,  0.2630339 ],
             [ 0.089444  ,  0.2670073 ],
             [ 0.11563255,  0.28810873],
             [ 0.09830782,  0.27460857],
             [ 0.11361805,  0.28573214],
             [ 0.11039484,  0.28460431],
             [ 0.10193392,  0.27780866],
             [ 0.11885576,  0.29503684]]), 'split2_test_score': array([[ 0.0012087 ,  0.10533194],
             [ 0.        ,  0.0992029 ],
             [ 0.0012087 ,  0.10374722],
             [ 0.0012087 ,  0.10534369],
             [ 0.0016116 ,  0.10550348],
             [ 0.0012087 ,  0.10386609],
             [ 0.0012087 ,  0.10537085],
             [ 0.0012087 ,  0.10536071],
             [ 0.0012087 ,  0.10536909],
             [ 0.0016116 ,  0.10590408],
             [ 0.0016116 ,  0.1059046 ],
             [ 0.0016116 ,  0.10590921],
             [ 0.0020145 ,  0.11004534],
             [ 0.0020145 ,  0.11008094],
             [ 0.0020145 ,  0.11004536],
             [ 0.02497985,  0.16901368],
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             [ 0.06195118,  0.07897992],
             [ 0.06195118,  0.07898783],
             [ 0.0797551 ,  0.10436178],
             [ 0.0797551 ,  0.10434725],
             [ 0.0797551 ,  0.10436302],
             [ 0.23700959,  0.30624661],
             [ 0.15459599,  0.22670839],
             [ 0.23700959,  0.30623936],
             [ 0.49810682,  0.58918594],
             [ 0.47764441,  0.56864663],
             [ 0.49826794,  0.58919396],
             [ 0.7550149 ,  0.82180243],
             [ 0.72681866,  0.79969977],
             [ 0.73551921,  0.805984  ],
             [ 0.91412229,  0.94453087],
             [ 0.79489245,  0.85628974],
             [ 0.85394345,  0.9022234 ],
             [ 0.98920487,  0.99383532],
             [ 0.80391525,  0.86373333],
             [ 0.85668251,  0.90768011]]), 'split5_train_score': array([[ 0.05753609,  0.07375327],
             [ 0.01859684,  0.02493873],
             [ 0.05391071,  0.06762273],
             [ 0.05760322,  0.07380268],
             [ 0.05706613,  0.07340311],
             [ 0.05411212,  0.0678419 ],
             [ 0.0577375 ,  0.07399402],
             [ 0.0577375 ,  0.07397698],
             [ 0.0577375 ,  0.0739908 ],
             [ 0.05928164,  0.07617718],
             [ 0.05928164,  0.0761776 ],
             [ 0.05928164,  0.07620772],
             [ 0.07821417,  0.10190269],
             [ 0.07821417,  0.10190399],
             [ 0.07821417,  0.10191412],
             [ 0.24169184,  0.31043228],
             [ 0.15052031,  0.22166852],
             [ 0.24169184,  0.31042179],
             [ 0.50104062,  0.5879936 ],
             [ 0.47049345,  0.56168279],
             [ 0.50097348,  0.58796441],
             [ 0.74172541,  0.8101767 ],
             [ 0.71930178,  0.79217894],
             [ 0.72547835,  0.79690087],
             [ 0.89963075,  0.93383773],
             [ 0.78140316,  0.84570418],
             [ 0.82638469,  0.88269125],
             [ 0.9836858 ,  0.99054511],
             [ 0.78992951,  0.8526538 ],
             [ 0.85122524,  0.90339088]]), 'split6_train_score': array([[ 0.05536053,  0.07040109],
             [ 0.05075675,  0.06447963],
             [ 0.05282845,  0.06528254],
             [ 0.05536053,  0.0704157 ],
             [ 0.05553318,  0.07037314],
             [ 0.05294355,  0.06546419],
             [ 0.05553318,  0.07068208],
             [ 0.05547563,  0.07062926],
             [ 0.05547563,  0.07064757],
             [ 0.05691431,  0.07247753],
             [ 0.05691431,  0.07247746],
             [ 0.05691431,  0.07247653],
             [ 0.07481153,  0.09757708],
             [ 0.07481153,  0.09757589],
             [ 0.07481153,  0.09758293],
             [ 0.23036197,  0.30056211],
             [ 0.13517868,  0.2018593 ],
             [ 0.23036197,  0.30056755],
             [ 0.49870519,  0.5891458 ],
             [ 0.48477873,  0.573541  ],
             [ 0.49876273,  0.58918376],
             [ 0.74961156,  0.81548804],
             [ 0.7271681 ,  0.79691539],
             [ 0.72751338,  0.79735275],
             [ 0.90130632,  0.9340585 ],
             [ 0.78897393,  0.84906047],
             [ 0.81279853,  0.87038906],
             [ 0.98106693,  0.98894833],
             [ 0.79495885,  0.85457427],
             [ 0.82499856,  0.87957712]]), 'split7_train_score': array([[ 0.05644796,  0.07056549],
             [ 0.0417443 ,  0.05210024],
             [ 0.0528224 ,  0.06509241],
             [ 0.05644796,  0.07059227],
             [ 0.0563976 ,  0.07038483],
             [ 0.05292311,  0.06523366],
             [ 0.05654867,  0.07075808],
             [ 0.05649831,  0.07072077],
             [ 0.05649831,  0.07072844],
             [ 0.05770683,  0.07237516],
             [ 0.05770683,  0.07237562],
             [ 0.05770683,  0.07237653],
             [ 0.07422327,  0.09447574],
             [ 0.07422327,  0.0944685 ],
             [ 0.07422327,  0.09447565],
             [ 0.21723148,  0.284022  ],
             [ 0.13510247,  0.1984011 ],
             [ 0.21723148,  0.28402056],
             [ 0.48874566,  0.58086668],
             [ 0.47535123,  0.56862787],
             [ 0.48899743,  0.58103365],
             [ 0.74424694,  0.8109931 ],
             [ 0.7216879 ,  0.79189316],
             [ 0.72042902,  0.79085392],
             [ 0.89974319,  0.93202153],
             [ 0.78317136,  0.84439945],
             [ 0.82536885,  0.87866811],
             [ 0.97915303,  0.98739785],
             [ 0.79258774,  0.85169173],
             [ 0.84989174,  0.89947148]]), 'split8_train_score': array([[ 0.05536905,  0.06854456],
             [ 0.04771496,  0.05929849],
             [ 0.0532653 ,  0.06400129],
             [ 0.05541381,  0.06859946],
             [ 0.05487668,  0.06784292],
             [ 0.0532653 ,  0.0641087 ],
             [ 0.05541381,  0.06872841],
             [ 0.05536905,  0.06862994],
             [ 0.05541381,  0.06872493],
             [ 0.05617475,  0.07003633],
             [ 0.05617475,  0.0700363 ],
             [ 0.05617475,  0.07003402],
             [ 0.07273622,  0.09150699],
             [ 0.07273622,  0.09150714],
             [ 0.07273622,  0.09150729],
             [ 0.21435925,  0.27862656],
             [ 0.13128329,  0.1934284 ],
             [ 0.21435925,  0.27862613],
             [ 0.48023813,  0.57306891],
             [ 0.43695448,  0.5409209 ],
             [ 0.48019337,  0.57297972],
             [ 0.74378945,  0.80876302],
             [ 0.71881294,  0.78822274],
             [ 0.72217   ,  0.79249367],
             [ 0.89633409,  0.92892125],
             [ 0.78098563,  0.84109716],
             [ 0.82713397,  0.88213195],
             [ 0.97573967,  0.98517978],
             [ 0.78819211,  0.84732647],
             [ 0.83407189,  0.8868669 ]]), 'split9_train_score': array([[ 0.05458647,  0.06671206],
             [ 0.05148451,  0.06488849],
             [ 0.05184708,  0.06210208],
             [ 0.05458647,  0.06673176],
             [ 0.0534182 ,  0.0657217 ],
             [ 0.05188736,  0.06222653],
             [ 0.05462676,  0.06688078],
             [ 0.05462676,  0.06684119],
             [ 0.05462676,  0.06687009],
             [ 0.0555936 ,  0.06826528],
             [ 0.0555936 ,  0.06826522],
             [ 0.0555936 ,  0.06826478],
             [ 0.07134512,  0.0900212 ],
             [ 0.07134512,  0.09002169],
             [ 0.07134512,  0.09002135],
             [ 0.21085284,  0.272748  ],
             [ 0.12814728,  0.18662589],
             [ 0.21073198,  0.27268353],
             [ 0.47202192,  0.56538381],
             [ 0.45469927,  0.55025334],
             [ 0.47186077,  0.56529586],
             [ 0.73717923,  0.80337047],
             [ 0.70958385,  0.78153213],
             [ 0.71119526,  0.78308434],
             [ 0.89376788,  0.9267039 ],
             [ 0.7746042 ,  0.83629651],
             [ 0.81895822,  0.87448877],
             [ 0.97369375,  0.98370402],
             [ 0.78201668,  0.84266753],
             [ 0.82677356,  0.88161785]]), 'mean_train_score': array([[ 0.06568354,  0.0830965 ],
             [ 0.02281874,  0.03254002],
             [ 0.06127108,  0.07599936],
             [ 0.06570278,  0.08313132],
             [ 0.05969785,  0.07673137],
             [ 0.06145306,  0.07620934],
             [ 0.06583551,  0.08333461],
             [ 0.06587055,  0.08333218],
             [ 0.06581666,  0.0833208 ],
             [ 0.06704223,  0.08518308],
             [ 0.06704223,  0.08517358],
             [ 0.06705566,  0.08519867],
             [ 0.08385766,  0.10870379],
             [ 0.08382077,  0.10870022],
             [ 0.08385766,  0.1087123 ],
             [ 0.23802864,  0.30886599],
             [ 0.15444837,  0.22535082],
             [ 0.23801655,  0.30885665],
             [ 0.51002762,  0.6039519 ],
             [ 0.49100299,  0.58681751],
             [ 0.51001044,  0.60392487],
             [ 0.77214218,  0.83576707],
             [ 0.74601232,  0.81516891],
             [ 0.75439378,  0.82162744],
             [ 0.92658974,  0.95146088],
             [ 0.81147807,  0.86814377],
             [ 0.86638194,  0.90996596],
             [ 0.98729787,  0.9924397 ],
             [ 0.81918428,  0.87428422],
             [ 0.88091497,  0.92121715]]), 'std_train_score': array([[ 0.0155345 ,  0.02062796],
             [ 0.02126195,  0.02330067],
             [ 0.01318832,  0.01743171],
             [ 0.01552526,  0.02062347],
             [ 0.00784082,  0.0097627 ],
             [ 0.01326767,  0.01746791],
             [ 0.01549411,  0.02060344],
             [ 0.01563099,  0.02069645],
             [ 0.01550367,  0.02061026],
             [ 0.01519406,  0.02055955],
             [ 0.01519406,  0.02052439],
             [ 0.01519644,  0.02055975],
             [ 0.01514243,  0.0204556 ],
             [ 0.01503908,  0.02045039],
             [ 0.01514243,  0.02047219],
             [ 0.02073669,  0.02636535],
             [ 0.02909351,  0.03589118],
             [ 0.02075256,  0.02637305],
             [ 0.03039167,  0.03413714],
             [ 0.0361089 ,  0.03832581],
             [ 0.03037293,  0.03413303],
             [ 0.03974073,  0.0350191 ],
             [ 0.03713071,  0.03372033],
             [ 0.04481817,  0.03918985],
             [ 0.03494441,  0.02440453],
             [ 0.0395144 ,  0.03223007],
             [ 0.05596372,  0.03985366],
             [ 0.00946265,  0.00581398],
             [ 0.03968463,  0.0317376 ],
             [ 0.05657558,  0.03924143]]), 'mean_fit_time': array([    41.97194912,   1034.88298268,     35.62207983,     55.6905117 ,
                252.72779369,     35.51183693,     72.67721963,    167.67400851,
                 67.39017391,    115.73046696,    164.96646338,     64.29408395,
                229.9869271 ,    285.9037267 ,    154.13563778,    440.63877444,
                655.30379868,    448.40219791,   1124.06741703,    655.26570015,
                873.62343643,   2224.26953645,    654.64397213,    869.96726696,
               5577.20928986,    654.13470652,    867.09986453,  15646.97104578,
                655.60320566,    874.65922086]), 'std_fit_time': array([    29.44955544,    673.63021133,     25.15021877,     42.15545737,
                170.68115236,     25.22463486,     54.9709981 ,    132.59736229,
                 48.58025936,     92.29384406,    124.96436023,     48.60985202,
                174.68410064,    246.02882267,    115.17410593,    357.5279355 ,
                501.24463059,    338.45606725,    842.44470099,    500.76225673,
                620.51746529,   1834.77895084,    500.3615977 ,    622.66257602,
               4006.73140714,    500.02124433,    619.5265974 ,  16943.96738149,
                501.44191536,    634.22372112]), 'mean_score_time': array([ 1.25942845,  1.0890841 ,  1.24526024,  1.25190265,  1.07008016,
              1.25783448,  1.24119523,  1.07156768,  1.25121832,  1.25051322,
              1.07973332,  1.25403988,  1.24712584,  1.07063248,  1.26167266,
              1.25294576,  1.08372834,  1.26364856,  1.25737898,  1.07115018,
              1.25941079,  1.25057025,  1.07059822,  1.27212825,  1.24870992,
              1.0762706 ,  1.25676105,  1.25785875,  1.07465653,  1.25835292]), 'std_score_time': array([ 0.33728966,  0.21242536,  0.32754081,  0.32389173,  0.21456576,
              0.34610074,  0.33402519,  0.20961002,  0.32756486,  0.32648547,
              0.21152449,  0.32870569,  0.33517644,  0.2104533 ,  0.32755735,
              0.33332541,  0.22090389,  0.34984287,  0.33870678,  0.2030931 ,
              0.32741837,  0.32761018,  0.21892354,  0.32845653,  0.3438833 ,
              0.21018638,  0.33258024,  0.34903422,  0.21366251,  0.32343967]), 'param_clf__C': masked_array(data = [0.0001, 0.0001, 0.0001, 0.00077426368268112698, 0.00077426368268112698,
       0.00077426368268112698, 0.0059948425031894088, 0.0059948425031894088,
       0.0059948425031894088, 0.046415888336127774, 0.046415888336127774,
       0.046415888336127774, 0.35938136638046259, 0.35938136638046259,
       0.35938136638046259, 2.7825594022071258, 2.7825594022071258,
       2.7825594022071258, 21.544346900318821, 21.544346900318821,
       21.544346900318821, 166.81005372000558, 166.81005372000558,
       166.81005372000558, 1291.5496650148827, 1291.5496650148827,
       1291.5496650148827, 10000.0, 10000.0, 10000.0],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__dual': masked_array(data = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__multi_class': masked_array(data = ['multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__solver': masked_array(data = ['newton-cg', 'sag', 'lbfgs', 'newton-cg', 'sag', 'lbfgs', 'newton-cg', 'sag',
       'lbfgs', 'newton-cg', 'sag', 'lbfgs', 'newton-cg', 'sag', 'lbfgs', 'newton-cg',
       'sag', 'lbfgs', 'newton-cg', 'sag', 'lbfgs', 'newton-cg', 'sag', 'lbfgs',
       'newton-cg', 'sag', 'lbfgs', 'newton-cg', 'sag', 'lbfgs'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__C': 0.0001, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.0001, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.0001, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 0.00077426368268112698, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.00077426368268112698, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.00077426368268112698, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 0.0059948425031894088, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.0059948425031894088, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.0059948425031894088, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 0.046415888336127774, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.046415888336127774, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.046415888336127774, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 0.35938136638046259, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.35938136638046259, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.35938136638046259, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 2.7825594022071258, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 2.7825594022071258, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 2.7825594022071258, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 21.544346900318821, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 21.544346900318821, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 21.544346900318821, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 166.81005372000558, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 166.81005372000558, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 166.81005372000558, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 1291.5496650148827, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 1291.5496650148827, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 1291.5496650148827, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 10000.0, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 10000.0, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 10000.0, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}]}
      normal_dual_logistic_regression = {'split0_test_score': array([[ 0.        ,  0.24978163],
             [ 0.        ,  0.24974185],
             [ 0.        ,  0.24825471],
             [ 0.0020145 ,  0.19747847],
             [ 0.00282031,  0.16730638],
             [ 0.01490733,  0.20025621],
             [ 0.0463336 ,  0.26874346],
             [ 0.0906527 ,  0.32081357],
             [ 0.089444  ,  0.31223017],
             [ 0.08380338,  0.30368178]]), 'split1_test_score': array([[ 0.18614021,  0.3151243 ],
             [ 0.18614021,  0.31498116],
             [ 0.18614021,  0.31393372],
             [ 0.05882353,  0.18910537],
             [ 0.00282031,  0.10521044],
             [ 0.02256245,  0.15190315],
             [ 0.05801773,  0.21897909],
             [ 0.08823529,  0.25937541],
             [ 0.10918614,  0.27752298],
             [ 0.10072522,  0.26796435]]), 'split2_test_score': array([[ 0.21474617,  0.3604204 ],
             [ 0.21474617,  0.36288228],
             [ 0.21474617,  0.35927116],
             [ 0.08219178,  0.21887463],
             [ 0.0016116 ,  0.11126387],
             [ 0.02175665,  0.16321374],
             [ 0.08340048,  0.26966973],
             [ 0.14786463,  0.34112188],
             [ 0.16196616,  0.35404439],
             [ 0.15551974,  0.34614751]]), 'split3_test_score': array([[ 0.17566479,  0.42440577],
             [ 0.17566479,  0.42946884],
             [ 0.17566479,  0.43181776],
             [ 0.06607575,  0.29627731],
             [ 0.00805802,  0.21597368],
             [ 0.03948429,  0.27883924],
             [ 0.07413376,  0.33493997],
             [ 0.10032232,  0.36961564],
             [ 0.12006446,  0.39141656],
             [ 0.12892828,  0.39707304]]), 'split4_test_score': array([[ 0.18936342,  0.34806834],
             [ 0.18936342,  0.34907776],
             [ 0.18936342,  0.34637845],
             [ 0.03223207,  0.18595855],
             [ 0.00443191,  0.12846572],
             [ 0.06365834,  0.2203599 ],
             [ 0.11724416,  0.29126152],
             [ 0.14020951,  0.33296231],
             [ 0.15431104,  0.35434092],
             [ 0.15834005,  0.35923898]]), 'split5_test_score': array([[ 0.10394843,  0.20523062],
             [ 0.10394843,  0.20585693],
             [ 0.10394843,  0.19750063],
             [ 0.02296535,  0.11079218],
             [ 0.00765512,  0.08053468],
             [ 0.05761483,  0.16734898],
             [ 0.10314263,  0.24549802],
             [ 0.14907333,  0.29346013],
             [ 0.16800967,  0.30175712],
             [ 0.16639807,  0.29738019]]), 'split6_test_score': array([[ 0.05519742,  0.21864519],
             [ 0.05519742,  0.22010731],
             [ 0.05519742,  0.20478366],
             [ 0.00564061,  0.14076944],
             [ 0.00725222,  0.13561554],
             [ 0.03746978,  0.20001774],
             [ 0.09347301,  0.29986744],
             [ 0.13134569,  0.33747959],
             [ 0.12248187,  0.32974759],
             [ 0.12328767,  0.32469634]]), 'split7_test_score': array([[ 0.10596293,  0.21077407],
             [ 0.10596293,  0.2116339 ],
             [ 0.10596293,  0.19892463],
             [ 0.00765512,  0.08584982],
             [ 0.00886382,  0.07488963],
             [ 0.0467365 ,  0.14247712],
             [ 0.10354553,  0.2310692 ],
             [ 0.12288477,  0.26419465],
             [ 0.12449637,  0.27035607],
             [ 0.13295729,  0.27265068]]), 'split8_test_score': array([[ 0.10878324,  0.22314278],
             [ 0.10878324,  0.2256725 ],
             [ 0.10878324,  0.20989397],
             [ 0.00805802,  0.09397951],
             [ 0.00564061,  0.08030038],
             [ 0.03464948,  0.13818777],
             [ 0.09871072,  0.23965218],
             [ 0.1349718 ,  0.28981797],
             [ 0.1369863 ,  0.29382167],
             [ 0.14101531,  0.29330709]]), 'split9_test_score': array([[ 0.12369057,  0.24180265],
             [ 0.12369057,  0.24370253],
             [ 0.12369057,  0.22301397],
             [ 0.01450443,  0.09447779],
             [ 0.00966962,  0.08158623],
             [ 0.03344077,  0.12917999],
             [ 0.0922643 ,  0.22713276],
             [ 0.12369057,  0.27192307],
             [ 0.12973409,  0.2818806 ],
             [ 0.14020951,  0.2891638 ]]), 'mean_test_score': array([[ 0.12634972,  0.27973958],
             [ 0.12634972,  0.28131251],
             [ 0.12634972,  0.27337727],
             [ 0.03001612,  0.16135631],
             [ 0.00588235,  0.11811465],
             [ 0.03722804,  0.17917838],
             [ 0.08702659,  0.26268134],
             [ 0.12292506,  0.30807642],
             [ 0.13166801,  0.31671181],
             [ 0.13311845,  0.31513038]]), 'std_test_score': array([[ 0.06328628,  0.07275908],
             [ 0.06328628,  0.07357404],
             [ 0.06328628,  0.07915707],
             [ 0.02740096,  0.06471961],
             [ 0.00268587,  0.04320648],
             [ 0.0147763 ,  0.04378647],
             [ 0.02080389,  0.03536248],
             [ 0.02139358,  0.03560427],
             [ 0.02311317,  0.03771726],
             [ 0.0244001 ,  0.03916575]]), 'rank_test_score': array([ 3,  3,  3,  9, 10,  8,  7,  6,  2,  1], dtype=int32), 'split0_train_score': array([[ 0.16458753,  0.30812997],
             [ 0.16458753,  0.31149838],
             [ 0.16458753,  0.3262349 ],
             [ 0.22615694,  0.35503671],
             [ 0.12957746,  0.18386554],
             [ 0.26760563,  0.34996236],
             [ 0.56458753,  0.67242546],
             [ 0.87002012,  0.91420009],
             [ 0.98672032,  0.99121973],
             [ 0.99959759,  0.99961771]]), 'split1_train_score': array([[ 0.11254278,  0.24716376],
             [ 0.11254278,  0.25032751],
             [ 0.11415341,  0.26977756],
             [ 0.12583048,  0.19985643],
             [ 0.09925508,  0.13352196],
             [ 0.25025166,  0.33586343],
             [ 0.5528488 ,  0.64599609],
             [ 0.82947453,  0.87991045],
             [ 0.97261929,  0.98275301],
             [ 0.99838937,  0.99901093]]), 'split2_train_score': array([[ 0.13706538,  0.24935198],
             [ 0.13706538,  0.25287694],
             [ 0.13773661,  0.27357597],
             [ 0.12135857,  0.16912354],
             [ 0.088334  ,  0.11686149],
             [ 0.2335884 ,  0.3107807 ],
             [ 0.52517116,  0.62040323],
             [ 0.80091287,  0.85673303],
             [ 0.95422204,  0.96888323],
             [ 0.9947644 ,  0.99661797]]), 'split3_train_score': array([[ 0.15647971,  0.26136264],
             [ 0.15647971,  0.26715497],
             [ 0.15647971,  0.28746466],
             [ 0.13241365,  0.17776514],
             [ 0.08387876,  0.11076442],
             [ 0.22162924,  0.2925721 ],
             [ 0.50015104,  0.59423866],
             [ 0.77303393,  0.8332135 ],
             [ 0.93474977,  0.95494894],
             [ 0.98690968,  0.99132953]]), 'split4_train_score': array([[ 0.1603158 ,  0.25874308],
             [ 0.1603158 ,  0.26312546],
             [ 0.1603158 ,  0.2774948 ],
             [ 0.12051881,  0.16745907],
             [ 0.08257472,  0.10891751],
             [ 0.22605333,  0.29499669],
             [ 0.49560944,  0.58534194],
             [ 0.75807621,  0.81827993],
             [ 0.91911705,  0.94362129],
             [ 0.98042375,  0.98718989]]), 'split5_train_score': array([[ 0.16515609,  0.25663935],
             [ 0.16515609,  0.2614081 ],
             [ 0.16515609,  0.27436908],
             [ 0.10822424,  0.15516856],
             [ 0.08130245,  0.1059687 ],
             [ 0.22907016,  0.29734009],
             [ 0.49540114,  0.58155309],
             [ 0.74716348,  0.80812302],
             [ 0.90802283,  0.93561438],
             [ 0.97401813,  0.98283818]]), 'split6_train_score': array([[ 0.15641365,  0.24139834],
             [ 0.15641365,  0.24682419],
             [ 0.15675893,  0.25698445],
             [ 0.08499741,  0.12732065],
             [ 0.07740116,  0.10058022],
             [ 0.21839213,  0.28626109],
             [ 0.49329574,  0.58303431],
             [ 0.75369742,  0.81246466],
             [ 0.90711861,  0.93430912],
             [ 0.97295275,  0.98214162]]), 'split7_train_score': array([[ 0.14376353,  0.22573386],
             [ 0.14376353,  0.231026  ],
             [ 0.14532454,  0.24078905],
             [ 0.0715041 ,  0.10818148],
             [ 0.07623747,  0.09700164],
             [ 0.20610303,  0.26918014],
             [ 0.47817111,  0.57000441],
             [ 0.74676469,  0.8060113 ],
             [ 0.90346946,  0.93091748],
             [ 0.97018984,  0.98006756]]), 'split8_train_score': array([[ 0.13956403,  0.21788746],
             [ 0.13956403,  0.22399305],
             [ 0.14216015,  0.2301789 ],
             [ 0.06333647,  0.0946062 ],
             [ 0.07439237,  0.09361519],
             [ 0.20361667,  0.26380916],
             [ 0.46967459,  0.56111642],
             [ 0.74119332,  0.80109775],
             [ 0.89897498,  0.92664306],
             [ 0.97032362,  0.97982937]]), 'split9_train_score': array([[ 0.13648632,  0.21424218],
             [ 0.13648632,  0.2206708 ],
             [ 0.13995085,  0.22215269],
             [ 0.06026669,  0.0871935 ],
             [ 0.07291625,  0.09186341],
             [ 0.19973412,  0.25758579],
             [ 0.46146719,  0.55260824],
             [ 0.73520525,  0.7956363 ],
             [ 0.89566128,  0.92377784],
             [ 0.96789268,  0.97822753]]), 'mean_train_score': array([[ 0.14723748,  0.24806526],
             [ 0.14723748,  0.25289054],
             [ 0.14826236,  0.26590221],
             [ 0.11146074,  0.16417113],
             [ 0.08658697,  0.11429601],
             [ 0.22560444,  0.29583516],
             [ 0.50363777,  0.59667219],
             [ 0.77555418,  0.832567  ],
             [ 0.92806756,  0.94926881],
             [ 0.98154618,  0.98768703]]), 'std_train_score': array([[ 0.01567321,  0.02563675],
             [ 0.01567321,  0.02492039],
             [ 0.01492003,  0.02878424],
             [ 0.04607043,  0.07298077],
             [ 0.01609398,  0.02597117],
             [ 0.02012064,  0.02838984],
             [ 0.03229877,  0.03633243],
             [ 0.04208016,  0.03708761],
             [ 0.03094525,  0.02288816],
             [ 0.01177346,  0.00792081]]), 'mean_fit_time': array([  86.35288701,  103.7105444 ,  107.73421638,  105.18769212,
               99.32184522,  191.0434437 ,  320.32910323,  436.87934508,
              487.56113191,  510.28915021]), 'std_fit_time': array([  76.90133595,   87.71693336,   86.64187115,   88.86998311,
               81.88182617,  157.86394875,  260.01139757,  348.49556091,
              390.47321168,  397.37543047]), 'mean_score_time': array([ 1.11395743,  1.11097181,  1.13064024,  1.13698745,  1.12011907,
              1.11820643,  1.10759621,  1.12961419,  1.11181598,  1.12228885]), 'std_score_time': array([ 0.23207037,  0.22669645,  0.23788058,  0.25491015,  0.23198315,
              0.22508957,  0.22218586,  0.22715805,  0.22590817,  0.21902139]), 'param_clf__C': masked_array(data = [0.0001, 0.00077426368268112698, 0.0059948425031894088, 0.046415888336127774,
       0.35938136638046259, 2.7825594022071258, 21.544346900318821,
       166.81005372000558, 1291.5496650148827, 10000.0],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__dual': masked_array(data = [True, True, True, True, True, True, True, True, True, True],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__multi_class': masked_array(data = ['ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr'],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__solver': masked_array(data = ['liblinear', 'liblinear', 'liblinear', 'liblinear', 'liblinear', 'liblinear',
       'liblinear', 'liblinear', 'liblinear', 'liblinear'],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__C': 0.0001, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.00077426368268112698, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.0059948425031894088, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.046415888336127774, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.35938136638046259, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 2.7825594022071258, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 21.544346900318821, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 166.81005372000558, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 1291.5496650148827, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 10000.0, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}]}
      normal_perceptron_with_penalty = {'split0_test_score': array([[ 0.01168413,  0.16706748],
             [ 0.01168413,  0.16706748],
             [ 0.0016116 ,  0.17331578],
             [ 0.0016116 ,  0.17331578],
             [ 0.00644641,  0.19619863],
             [ 0.00644641,  0.19619863],
             [ 0.02417405,  0.22329561],
             [ 0.02417405,  0.22329561],
             [ 0.06365834,  0.2854272 ],
             [ 0.06365834,  0.2854272 ],
             [ 0.03344077,  0.25450581],
             [ 0.03344077,  0.25450581]]), 'split1_test_score': array([[ 0.0008058 ,  0.11002991],
             [ 0.0008058 ,  0.11002991],
             [ 0.0004029 ,  0.1213654 ],
             [ 0.0004029 ,  0.1213654 ],
             [ 0.00322321,  0.12568725],
             [ 0.00322321,  0.12568725],
             [ 0.01692184,  0.1760135 ],
             [ 0.01692184,  0.1760135 ],
             [ 0.02538276,  0.16540898],
             [ 0.02538276,  0.16540898],
             [ 0.02457695,  0.18088093],
             [ 0.02457695,  0.18088093]]), 'split2_test_score': array([[ 0.0012087 ,  0.14425826],
             [ 0.0012087 ,  0.14425826],
             [ 0.        ,  0.17128232],
             [ 0.        ,  0.17128232],
             [ 0.0008058 ,  0.14119375],
             [ 0.0008058 ,  0.14119375],
             [ 0.00241741,  0.177052  ],
             [ 0.00241741,  0.177052  ],
             [ 0.03223207,  0.17851063],
             [ 0.03223207,  0.17851063],
             [ 0.05116841,  0.23090439],
             [ 0.05116841,  0.23090439]]), 'split3_test_score': array([[ 0.        ,  0.19449832],
             [ 0.        ,  0.19449832],
             [ 0.        ,  0.22651175],
             [ 0.        ,  0.22651175],
             [ 0.00282031,  0.21531092],
             [ 0.00282031,  0.21531092],
             [ 0.01208703,  0.2430784 ],
             [ 0.01208703,  0.2430784 ],
             [ 0.05721193,  0.31368231],
             [ 0.05721193,  0.31368231],
             [ 0.07977438,  0.3460409 ],
             [ 0.07977438,  0.3460409 ]]), 'split4_test_score': array([[ 0.0004029 ,  0.11256327],
             [ 0.0004029 ,  0.11256327],
             [ 0.0004029 ,  0.14454743],
             [ 0.0004029 ,  0.14454743],
             [ 0.00725222,  0.1545658 ],
             [ 0.00725222,  0.1545658 ],
             [ 0.01611604,  0.17358979],
             [ 0.01611604,  0.17358979],
             [ 0.06849315,  0.23677642],
             [ 0.06849315,  0.23677642],
             [ 0.06003223,  0.22563237],
             [ 0.06003223,  0.22563237]]), 'split5_test_score': array([[ 0.        ,  0.06103432],
             [ 0.        ,  0.06103432],
             [ 0.        ,  0.0816989 ],
             [ 0.        ,  0.0816989 ],
             [ 0.        ,  0.09925327],
             [ 0.        ,  0.09925327],
             [ 0.0016116 ,  0.1108894 ],
             [ 0.0016116 ,  0.1108894 ],
             [ 0.05036261,  0.1625587 ],
             [ 0.05036261,  0.1625587 ],
             [ 0.07050766,  0.19677578],
             [ 0.07050766,  0.19677578]]), 'split6_test_score': array([[ 0.0004029 ,  0.12112308],
             [ 0.0004029 ,  0.12112308],
             [ 0.0004029 ,  0.13664337],
             [ 0.0004029 ,  0.13664337],
             [ 0.01772764,  0.19150908],
             [ 0.01772764,  0.19150908],
             [ 0.00644641,  0.16530369],
             [ 0.00644641,  0.16530369],
             [ 0.05962933,  0.24160265],
             [ 0.05962933,  0.24160265],
             [ 0.05479452,  0.23839063],
             [ 0.05479452,  0.23839063]]), 'split7_test_score': array([[ 0.01047542,  0.07259886],
             [ 0.01047542,  0.07259886],
             [ 0.        ,  0.08510451],
             [ 0.        ,  0.08510451],
             [ 0.0016116 ,  0.09497163],
             [ 0.0016116 ,  0.09497163],
             [ 0.0016116 ,  0.10259027],
             [ 0.0016116 ,  0.10259027],
             [ 0.04311039,  0.15238008],
             [ 0.04311039,  0.15238008],
             [ 0.05680902,  0.17899777],
             [ 0.05680902,  0.17899777]]), 'split8_test_score': array([[ 0.0004029 ,  0.06770366],
             [ 0.0004029 ,  0.06770366],
             [ 0.0004029 ,  0.09528103],
             [ 0.0004029 ,  0.09528103],
             [ 0.00362611,  0.11569527],
             [ 0.00362611,  0.11569527],
             [ 0.0016116 ,  0.10329477],
             [ 0.0016116 ,  0.10329477],
             [ 0.03948429,  0.1619675 ],
             [ 0.03948429,  0.1619675 ],
             [ 0.04311039,  0.16963351],
             [ 0.04311039,  0.16963351]]), 'split9_test_score': array([[ 0.        ,  0.09156825],
             [ 0.        ,  0.09156825],
             [ 0.        ,  0.08591268],
             [ 0.        ,  0.08591268],
             [ 0.00604351,  0.11225029],
             [ 0.00604351,  0.11225029],
             [ 0.00604351,  0.11906577],
             [ 0.00604351,  0.11906577],
             [ 0.02175665,  0.12698947],
             [ 0.02175665,  0.12698947],
             [ 0.03827558,  0.15346869],
             [ 0.03827558,  0.15346869]]), 'mean_test_score': array([[ 0.00253828,  0.11424454],
             [ 0.00253828,  0.11424454],
             [ 0.00032232,  0.13216632],
             [ 0.00032232,  0.13216632],
             [ 0.00495568,  0.14466359],
             [ 0.00495568,  0.14466359],
             [ 0.00890411,  0.15941732],
             [ 0.00890411,  0.15941732],
             [ 0.04613215,  0.20253039],
             [ 0.04613215,  0.20253039],
             [ 0.05124899,  0.21752308],
             [ 0.05124899,  0.21752308]]), 'std_test_score': array([[ 0.00429444,  0.04176795],
             [ 0.00429444,  0.04176795],
             [ 0.00046986,  0.04547097],
             [ 0.00046986,  0.04547097],
             [ 0.00483833,  0.04090571],
             [ 0.00483833,  0.04090571],
             [ 0.00758578,  0.04718453],
             [ 0.00758578,  0.04718453],
             [ 0.01549598,  0.05945215],
             [ 0.01549598,  0.05945215],
             [ 0.01602594,  0.05312109],
             [ 0.01602594,  0.05312109]]), 'rank_test_score': array([ 9,  9, 11, 11,  7,  7,  5,  5,  3,  3,  1,  1], dtype=int32), 'split0_train_score': array([[ 0.03661972,  0.052656  ],
             [ 0.03661972,  0.052656  ],
             [ 0.02293763,  0.06038859],
             [ 0.02293763,  0.06038859],
             [ 0.11348089,  0.21749868],
             [ 0.11348089,  0.21749868],
             [ 0.34567404,  0.44720845],
             [ 0.34567404,  0.44720845],
             [ 0.46438632,  0.57928129],
             [ 0.46438632,  0.57928129],
             [ 0.44627767,  0.55836741],
             [ 0.44627767,  0.55836741]]), 'split1_train_score': array([[ 0.00181196,  0.02491789],
             [ 0.00181196,  0.02491789],
             [ 0.00543588,  0.05902622],
             [ 0.00543588,  0.05902622],
             [ 0.02496477,  0.1142367 ],
             [ 0.02496477,  0.1142367 ],
             [ 0.19166499,  0.34557203],
             [ 0.19166499,  0.34557203],
             [ 0.40889873,  0.49855009],
             [ 0.40889873,  0.49855009],
             [ 0.43768875,  0.54408485],
             [ 0.43768875,  0.54408485]]), 'split2_train_score': array([[ 0.0017452 ,  0.03509811],
             [ 0.0017452 ,  0.03509811],
             [ 0.00255068,  0.06749742],
             [ 0.00255068,  0.06749742],
             [ 0.01718351,  0.10005454],
             [ 0.01718351,  0.10005454],
             [ 0.04148208,  0.20923339],
             [ 0.04148208,  0.20923339],
             [ 0.40247013,  0.50282869],
             [ 0.40247013,  0.50282869],
             [ 0.4107934 ,  0.52576113],
             [ 0.4107934 ,  0.52576113]]), 'split3_train_score': array([[ 0.00362501,  0.00716867],
             [ 0.00362501,  0.00716867],
             [ 0.00865975,  0.05789015],
             [ 0.00865975,  0.05789015],
             [ 0.04561474,  0.09822121],
             [ 0.04561474,  0.09822121],
             [ 0.15053872,  0.24534625],
             [ 0.15053872,  0.24534625],
             [ 0.40992851,  0.52330501],
             [ 0.40992851,  0.52330501],
             [ 0.43510221,  0.55283142],
             [ 0.43510221,  0.55283142]]), 'split4_train_score': array([[ 0.00241682,  0.00490956],
             [ 0.00241682,  0.00490956],
             [ 0.00515588,  0.05566276],
             [ 0.00515588,  0.05566276],
             [ 0.02553774,  0.09116252],
             [ 0.02553774,  0.09116252],
             [ 0.09989527,  0.20607467],
             [ 0.09989527,  0.20607467],
             [ 0.34294691,  0.43562449],
             [ 0.34294691,  0.43562449],
             [ 0.40038669,  0.48921789],
             [ 0.40038669,  0.48921789]]), 'split5_train_score': array([[  2.01409869e-04,   2.60844094e-03],
             [  2.01409869e-04,   2.60844094e-03],
             [  6.04229607e-04,   3.67337233e-02],
             [  6.04229607e-04,   3.67337233e-02],
             [  4.43101712e-03,   7.11928280e-02],
             [  4.43101712e-03,   7.11928280e-02],
             [  1.64484726e-02,   1.41366378e-01],
             [  1.64484726e-02,   1.41366378e-01],
             [  3.32661967e-01,   4.24912147e-01],
             [  3.32661967e-01,   4.24912147e-01],
             [  3.99060087e-01,   5.06839483e-01],
             [  3.99060087e-01,   5.06839483e-01]]), 'split6_train_score': array([[ 0.00086321,  0.00275811],
             [ 0.00086321,  0.00275811],
             [ 0.00379812,  0.03076836],
             [ 0.00379812,  0.03076836],
             [ 0.02733498,  0.07755437],
             [ 0.02733498,  0.07755437],
             [ 0.07469644,  0.15720408],
             [ 0.07469644,  0.15720408],
             [ 0.3235311 ,  0.43319223],
             [ 0.3235311 ,  0.43319223],
             [ 0.38119353,  0.47220013],
             [ 0.38119353,  0.47220013]]), 'split7_train_score': array([[ 0.02552999,  0.03856725],
             [ 0.02552999,  0.03856725],
             [ 0.00135959,  0.04755292],
             [ 0.00135959,  0.04755292],
             [ 0.01248804,  0.07532415],
             [ 0.01248804,  0.07532415],
             [ 0.04053578,  0.12738678],
             [ 0.04053578,  0.12738678],
             [ 0.30635984,  0.39799544],
             [ 0.30635984,  0.39799544],
             [ 0.36975679,  0.47110084],
             [ 0.36975679,  0.47110084]]), 'split8_train_score': array([[  3.13325276e-04,   2.16986807e-03],
             [  3.13325276e-04,   2.16986807e-03],
             [  6.26650553e-04,   3.88116663e-02],
             [  6.26650553e-04,   3.88116663e-02],
             [  8.37026096e-03,   6.53630884e-02],
             [  8.37026096e-03,   6.53630884e-02],
             [  3.25410680e-02,   1.20968348e-01],
             [  3.25410680e-02,   1.20968348e-01],
             [  3.00165615e-01,   4.00065807e-01],
             [  3.00165615e-01,   4.00065807e-01],
             [  3.54460409e-01,   4.48567237e-01],
             [  3.54460409e-01,   4.48567237e-01]]), 'split9_train_score': array([[ 0.00064456,  0.04001953],
             [ 0.00064456,  0.04001953],
             [ 0.00249768,  0.02856486],
             [ 0.00249768,  0.02856486],
             [ 0.02231801,  0.07353042],
             [ 0.02231801,  0.07353042],
             [ 0.06091125,  0.13782033],
             [ 0.06091125,  0.13782033],
             [ 0.24404786,  0.33325705],
             [ 0.24404786,  0.33325705],
             [ 0.34737945,  0.43493716],
             [ 0.34737945,  0.43493716]]), 'mean_train_score': array([[ 0.00737712,  0.02108734],
             [ 0.00737712,  0.02108734],
             [ 0.00536261,  0.04828967],
             [ 0.00536261,  0.04828967],
             [ 0.0301724 ,  0.09841385],
             [ 0.0301724 ,  0.09841385],
             [ 0.10543881,  0.21381807],
             [ 0.10543881,  0.21381807],
             [ 0.3535397 ,  0.45290122],
             [ 0.3535397 ,  0.45290122],
             [ 0.3982099 ,  0.50039075],
             [ 0.3982099 ,  0.50039075]]), 'std_train_score': array([[ 0.01214568,  0.01833652],
             [ 0.01214568,  0.01833652],
             [ 0.00632027,  0.0130273 ],
             [ 0.00632027,  0.0130273 ],
             [ 0.02986053,  0.04231742],
             [ 0.02986053,  0.04231742],
             [ 0.09574794,  0.10160053],
             [ 0.09574794,  0.10160053],
             [ 0.06279911,  0.06862686],
             [ 0.06279911,  0.06862686],
             [ 0.03315242,  0.04177682],
             [ 0.03315242,  0.04177682]]), 'mean_fit_time': array([ 25.28030832,  43.84627254,  16.05602813,  37.0533036 ,
              15.62169833,  35.15691946,  15.2881561 ,  35.08097351,
              14.93155789,  35.16997094,  15.55839851,  35.0818295 ]), 'std_fit_time': array([ 21.87766723,  34.40966218,  13.75290557,  29.45594435,
              13.0678276 ,  27.40780762,  13.04057307,  27.42092233,
              13.03514486,  26.88833106,  13.37190989,  26.3762466 ]), 'mean_score_time': array([ 1.10151644,  1.07441452,  1.07972295,  1.0613122 ,  1.03711407,
              1.04005244,  1.03325865,  1.02945457,  1.02000129,  1.05947685,
              1.02766037,  1.04695382]), 'std_score_time': array([ 0.20594617,  0.23437074,  0.25278569,  0.26226529,  0.23780032,
              0.23285799,  0.23745156,  0.23083595,  0.24216029,  0.23223614,
              0.22505827,  0.23302881]), 'param_clf__alpha': masked_array(data = [0.10000000000000001, 0.10000000000000001, 0.01, 0.01, 0.001, 0.001, 0.0001,
       0.0001, 1.0000000000000001e-05, 1.0000000000000001e-05,
       9.9999999999999995e-07, 9.9999999999999995e-07],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__penalty': masked_array(data = ['l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__alpha': 0.10000000000000001, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}]}
      normal_perceptron_without_penalty = {'split0_test_score': array([[ 0.03464948,  0.25424925]]), 'split1_test_score': array([[ 0.03223207,  0.1896234 ]]), 'split2_test_score': array([[ 0.03988719,  0.20777442]]), 'split3_test_score': array([[ 0.03545528,  0.28705741]]), 'split4_test_score': array([[ 0.04834811,  0.21796186]]), 'split5_test_score': array([[ 0.07453666,  0.1935753 ]]), 'split6_test_score': array([[ 0.05076551,  0.23170203]]), 'split7_test_score': array([[ 0.05116841,  0.16870597]]), 'split8_test_score': array([[ 0.03505238,  0.16327367]]), 'split9_test_score': array([[ 0.05197421,  0.17041489]]), 'mean_test_score': array([[ 0.04540693,  0.20843382]]), 'std_test_score': array([[ 0.01219938,  0.03814595]]), 'rank_test_score': array([1], dtype=int32), 'split0_train_score': array([[ 0.45392354,  0.57005241]]), 'split1_train_score': array([[ 0.43446749,  0.55422365]]), 'split2_train_score': array([[ 0.38730031,  0.48798047]]), 'split3_train_score': array([[ 0.40026181,  0.50389223]]), 'split4_train_score': array([[ 0.40707323,  0.50096516]]), 'split5_train_score': array([[ 0.39657603,  0.493529  ]]), 'split6_train_score': array([[ 0.38763883,  0.4888606 ]]), 'split7_train_score': array([[ 0.3779143 ,  0.47980169]]), 'split8_train_score': array([[ 0.37415514,  0.47395313]]), 'split9_train_score': array([[ 0.3556782 ,  0.44356253]]), 'mean_train_score': array([[ 0.39749889,  0.49968209]]), 'std_train_score': array([[ 0.0274395 ,  0.03527696]]), 'mean_fit_time': array([ 14.1359745]), 'std_fit_time': array([ 10.5854828]), 'mean_score_time': array([ 1.02960374]), 'std_score_time': array([ 0.21641426]), 'param_clf__class_weight': masked_array(data = ['balanced'],
                   mask = [False],
             fill_value = nan)
      , 'param_clf__penalty': masked_array(data = [None],
                   mask = [False],
             fill_value = nan)
      , 'params': [{'clf__class_weight': 'balanced', 'clf__penalty': None}]}
      normal_sgd_classifier = {'split0_test_score': array([[ 0.02095085,  0.22203776],
             [ 0.0020145 ,  0.16662447],
             [ 0.        ,  0.22930528],
             [ 0.0004029 ,  0.20109603],
             [ 0.00322321,  0.17673716],
             [ 0.00322321,  0.16612482],
             [ 0.0016116 ,  0.17942196],
             [ 0.0016116 ,  0.1678303 ],
             [ 0.0455278 ,  0.26901462],
             [ 0.        ,  0.154384  ],
             [ 0.01933924,  0.21768304],
             [ 0.00564061,  0.20520725],
             [ 0.        ,  0.24936889],
             [ 0.        ,  0.24887905],
             [ 0.00402901,  0.17719238],
             [ 0.00644641,  0.1880055 ],
             [ 0.0020145 ,  0.17660467],
             [ 0.02377115,  0.21306636],
             [ 0.01168413,  0.21596672],
             [ 0.0004029 ,  0.17323976],
             [ 0.00483481,  0.17613976],
             [ 0.00241741,  0.15972281],
             [ 0.01692184,  0.21906137],
             [ 0.00443191,  0.18581487],
             [ 0.00725222,  0.16722143],
             [ 0.0008058 ,  0.15778939],
             [ 0.00805802,  0.1911305 ],
             [ 0.0016116 ,  0.1598116 ],
             [ 0.05197421,  0.27939735],
             [ 0.        ,  0.15464247],
             [ 0.00282031,  0.16892342],
             [ 0.00362611,  0.16656339],
             [ 0.00241741,  0.2117489 ],
             [ 0.00684932,  0.20864379],
             [ 0.00604351,  0.16568776],
             [ 0.0020145 ,  0.15782072],
             [ 0.00443191,  0.17597845],
             [ 0.0020145 ,  0.16431018],
             [ 0.044722  ,  0.26809742],
             [ 0.0008058 ,  0.18911218],
             [ 0.01772764,  0.22803982],
             [ 0.0016116 ,  0.16940621],
             [ 0.00483481,  0.17302884],
             [ 0.00241741,  0.17179107],
             [ 0.05036261,  0.19783941],
             [ 0.00765512,  0.20015804],
             [ 0.06768735,  0.3009819 ],
             [ 0.01208703,  0.20610496],
             [ 0.05560032,  0.28297344],
             [ 0.0004029 ,  0.1546921 ],
             [ 0.01007252,  0.21546965],
             [ 0.01692184,  0.2225732 ],
             [ 0.00282031,  0.16835591],
             [ 0.00282031,  0.16555136],
             [ 0.00966962,  0.1944841 ],
             [ 0.01007252,  0.1909327 ],
             [ 0.02014504,  0.23549309],
             [ 0.01208703,  0.20823173],
             [ 0.03787268,  0.26538685],
             [ 0.04311039,  0.2323561 ],
             [ 0.05560032,  0.29015674],
             [ 0.01490733,  0.20635196],
             [ 0.01813054,  0.22011107],
             [ 0.01248993,  0.21159083],
             [ 0.06647865,  0.16263344],
             [ 0.02054795,  0.15624685],
             [ 0.01007252,  0.22329058],
             [ 0.01329573,  0.24005558],
             [ 0.06043513,  0.2832865 ],
             [ 0.00402901,  0.18388104],
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              0.21146281,  0.23161839,  0.23803302,  0.22848565,  0.22647896,
              0.22460299,  0.25600242,  0.33139742,  0.32790099,  0.19334457,
              0.1976828 ,  0.22666699,  0.23246478,  0.23186636,  0.23411452,
              0.2225995 ,  0.22744727,  0.33021367,  0.3320031 ,  0.19226718,
              0.19196918,  0.22897962,  0.23802021,  0.22456533,  0.22690567,
              0.22719326,  0.22488788,  0.33794199,  0.33107959,  0.18512929,
              0.18861571,  0.22789305,  0.22118016,  0.22773022,  0.22340394,
              0.23589596,  0.22294869,  0.33462171,  0.33366482,  0.18815153,
              0.18254836,  0.22396625,  0.22755661,  0.23322407,  0.24438265,
              0.23582889,  0.23300811,  0.33167064,  0.33422961,  0.19636145,
              0.18939887,  0.23009609,  0.23201718,  0.22219255,  0.23050014,
              0.23417107,  0.23469005,  0.33361304,  0.3458225 ,  0.19197165,
              0.19435074,  0.22582328,  0.2261868 ,  0.22919575,  0.22588921]), 'param_clf__alpha': masked_array(data = [0.10000000000000001, 0.10000000000000001, 0.10000000000000001,
       0.10000000000000001, 0.10000000000000001, 0.10000000000000001,
       0.10000000000000001, 0.10000000000000001, 0.10000000000000001,
       0.10000000000000001, 0.10000000000000001, 0.10000000000000001,
       0.10000000000000001, 0.10000000000000001, 0.10000000000000001,
       0.10000000000000001, 0.10000000000000001, 0.10000000000000001,
       0.10000000000000001, 0.10000000000000001, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01,
       0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.001,
       0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001,
       0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.0001, 0.0001, 0.0001, 0.0001,
       0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001,
       0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 1.0000000000000001e-05,
       1.0000000000000001e-05, 1.0000000000000001e-05, 1.0000000000000001e-05,
       1.0000000000000001e-05, 1.0000000000000001e-05, 1.0000000000000001e-05,
       1.0000000000000001e-05, 1.0000000000000001e-05, 1.0000000000000001e-05,
       1.0000000000000001e-05, 1.0000000000000001e-05, 1.0000000000000001e-05,
       1.0000000000000001e-05, 1.0000000000000001e-05, 1.0000000000000001e-05,
       1.0000000000000001e-05, 1.0000000000000001e-05, 1.0000000000000001e-05,
       1.0000000000000001e-05, 9.9999999999999995e-07, 9.9999999999999995e-07,
       9.9999999999999995e-07, 9.9999999999999995e-07, 9.9999999999999995e-07,
       9.9999999999999995e-07, 9.9999999999999995e-07, 9.9999999999999995e-07,
       9.9999999999999995e-07, 9.9999999999999995e-07, 9.9999999999999995e-07,
       9.9999999999999995e-07, 9.9999999999999995e-07, 9.9999999999999995e-07,
       9.9999999999999995e-07, 9.9999999999999995e-07, 9.9999999999999995e-07,
       9.9999999999999995e-07, 9.9999999999999995e-07, 9.9999999999999995e-07],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__average': masked_array(data = [True, True, True, True, True, True, True, True, True, True, False, False, False, False,
       False, False, False, False, False, False, True, True, True, True, True, True, True,
       True, True, True, False, False, False, False, False, False, False, False, False, False,
       True, True, True, True, True, True, True, True, True, True, False, False, False, False,
       False, False, False, False, False, False, True, True, True, True, True, True, True,
       True, True, True, False, False, False, False, False, False, False, False, False, False,
       True, True, True, True, True, True, True, True, True, True, False, False, False, False,
       False, False, False, False, False, False, True, True, True, True, True, True, True,
       True, True, True, False, False, False, False, False, False, False, False, False, False],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__loss': masked_array(data = ['hinge', 'hinge', 'log', 'log', 'modified_huber', 'modified_huber',
       'squared_hinge', 'squared_hinge', 'perceptron', 'perceptron', 'hinge', 'hinge',
       'log', 'log', 'modified_huber', 'modified_huber', 'squared_hinge',
       'squared_hinge', 'perceptron', 'perceptron', 'hinge', 'hinge', 'log', 'log',
       'modified_huber', 'modified_huber', 'squared_hinge', 'squared_hinge',
       'perceptron', 'perceptron', 'hinge', 'hinge', 'log', 'log', 'modified_huber',
       'modified_huber', 'squared_hinge', 'squared_hinge', 'perceptron', 'perceptron',
       'hinge', 'hinge', 'log', 'log', 'modified_huber', 'modified_huber',
       'squared_hinge', 'squared_hinge', 'perceptron', 'perceptron', 'hinge', 'hinge',
       'log', 'log', 'modified_huber', 'modified_huber', 'squared_hinge',
       'squared_hinge', 'perceptron', 'perceptron', 'hinge', 'hinge', 'log', 'log',
       'modified_huber', 'modified_huber', 'squared_hinge', 'squared_hinge',
       'perceptron', 'perceptron', 'hinge', 'hinge', 'log', 'log', 'modified_huber',
       'modified_huber', 'squared_hinge', 'squared_hinge', 'perceptron', 'perceptron',
       'hinge', 'hinge', 'log', 'log', 'modified_huber', 'modified_huber',
       'squared_hinge', 'squared_hinge', 'perceptron', 'perceptron', 'hinge', 'hinge',
       'log', 'log', 'modified_huber', 'modified_huber', 'squared_hinge',
       'squared_hinge', 'perceptron', 'perceptron', 'hinge', 'hinge', 'log', 'log',
       'modified_huber', 'modified_huber', 'squared_hinge', 'squared_hinge',
       'perceptron', 'perceptron', 'hinge', 'hinge', 'log', 'log', 'modified_huber',
       'modified_huber', 'squared_hinge', 'squared_hinge', 'perceptron', 'perceptron'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__penalty': masked_array(data = ['l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.10000000000000001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.01, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0001, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 1.0000000000000001e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 9.9999999999999995e-07, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}]}
      random_nearest_centroid = {'split0_test_score': array([[ 0.01208703,         nan],
             [ 0.04109589,         nan]]), 'split1_test_score': array([[ 0.01168413,         nan],
             [ 0.03182917,         nan]]), 'split2_test_score': array([[ 0.00966962,         nan],
             [ 0.04029009,         nan]]), 'split3_test_score': array([[ 0.01128122,         nan],
             [ 0.05116841,         nan]]), 'split4_test_score': array([[ 0.01450443,         nan],
             [ 0.07695407,         nan]]), 'split5_test_score': array([[ 0.01007252,         nan],
             [ 0.06486704,         nan]]), 'split6_test_score': array([[ 0.01168413,         nan],
             [ 0.05076551,         nan]]), 'split7_test_score': array([[ 0.01168413,         nan],
             [ 0.05560032,         nan]]), 'split8_test_score': array([[ 0.01007252,         nan],
             [ 0.0455278 ,         nan]]), 'split9_test_score': array([[ 0.01208703,         nan],
             [ 0.0471394 ,         nan]]), 'mean_test_score': array([[ 0.01148268,         nan],
             [ 0.05052377,         nan]]), 'std_test_score': array([[ 0.00131484,         nan],
             [ 0.01228841,         nan]]), 'rank_test_score': array([2, 1], dtype=int32), 'split0_train_score': array([[ 0.16297787,         nan],
             [ 0.3637827 ,         nan]]), 'split1_train_score': array([[ 0.12240789,         nan],
             [ 0.32514596,         nan]]), 'split2_train_score': array([[ 0.09370385,         nan],
             [ 0.26580749,         nan]]), 'split3_train_score': array([[ 0.08569127,         nan],
             [ 0.24730641,         nan]]), 'split4_train_score': array([[ 0.08458874,         nan],
             [ 0.24490454,         nan]]), 'split5_train_score': array([[ 0.07700571,         nan],
             [ 0.24867405,         nan]]), 'split6_train_score': array([[ 0.0756172 ,         nan],
             [ 0.23761294,         nan]]), 'split7_train_score': array([[ 0.07422327,         nan],
             [ 0.22976988,         nan]]), 'split8_train_score': array([[ 0.0688868 ,         nan],
             [ 0.22389329,         nan]]), 'split9_train_score': array([[ 0.06832373,         nan],
             [ 0.22027958,         nan]]), 'mean_train_score': array([[ 0.09134263,         nan],
             [ 0.26071768,         nan]]), 'std_train_score': array([[ 0.02821317,         nan],
             [ 0.04456136,         nan]]), 'mean_fit_time': array([ 162.13920133,    1.39699581]), 'std_fit_time': array([ 110.5795954 ,    0.61991809]), 'mean_score_time': array([ 102.32277803,    0.30300858]), 'std_score_time': array([ 69.22155231,   0.09555579]), 'param_clf__metric': masked_array(data = ['manhattan', 'euclidean'],
                   mask = [False, False],
             fill_value = nan)
      , 'params': [{'clf__metric': 'manhattan'}, {'clf__metric': 'euclidean'}]}
      random_multinomial_nb = {'split0_test_score': array([[ 0.0016116 ,  0.25893174],
             [ 0.        ,  0.25740083],
             [ 0.0016116 ,  0.25896789],
             [ 0.        ,  0.25519945],
             [ 0.        ,  0.25600111],
             [ 0.00644641,  0.26555498],
             [ 0.0004029 ,  0.2566162 ],
             [ 0.        ,  0.25491886],
             [ 0.0008058 ,  0.25845014],
             [ 0.        ,  0.25489895],
             [ 0.01692184,  0.274687  ],
             [ 0.00362611,  0.26118819],
             [ 0.0004029 ,  0.25762458],
             [ 0.        ,  0.25737484],
             [ 0.0004029 ,  0.25756943],
             [ 0.0016116 ,  0.25910043],
             [ 0.00322321,  0.26076139],
             [ 0.0008058 ,  0.25837229],
             [ 0.        ,  0.25736379],
             [ 0.01329573,  0.27084834],
             [ 0.00402901,  0.26183763],
             [ 0.        ,  0.25511366]]), 'split1_test_score': array([[ 0.18573731,  0.32473487],
             [ 0.18734891,  0.32460049],
             [ 0.18573731,  0.32473899],
             [ 0.18976632,  0.32288152],
             [ 0.18896052,  0.32330253],
             [ 0.17647059,  0.32597173],
             [ 0.18896052,  0.32380834],
             [ 0.18855761,  0.32145804],
             [ 0.18573731,  0.32467994],
             [ 0.18855761,  0.32131521],
             [ 0.17082998,  0.3233063 ],
             [ 0.1817083 ,  0.32423376],
             [ 0.18855761,  0.32529983],
             [ 0.18775181,  0.32466021],
             [ 0.18775181,  0.32479592],
             [ 0.18533441,  0.32461897],
             [ 0.1800967 ,  0.32377636],
             [ 0.18614021,  0.32480825],
             [ 0.18936342,  0.32484427],
             [ 0.17324738,  0.32495968],
             [ 0.1804996 ,  0.32505104],
             [ 0.18896052,  0.32213632]]), 'split2_test_score': array([[ 0.21958098,  0.3822695 ],
             [ 0.21837228,  0.37941758],
             [ 0.21958098,  0.3823368 ],
             [ 0.21474617,  0.37030534],
             [ 0.21474617,  0.37156075],
             [ 0.21796938,  0.38817316],
             [ 0.21474617,  0.3721102 ],
             [ 0.21474617,  0.36931494],
             [ 0.21958098,  0.38209836],
             [ 0.21474617,  0.36922477],
             [ 0.22320709,  0.39677136],
             [ 0.21958098,  0.38413946],
             [ 0.21837228,  0.37973108],
             [ 0.21837228,  0.37919814],
             [ 0.21837228,  0.37961146],
             [ 0.21958098,  0.38251476],
             [ 0.21474617,  0.37993477],
             [ 0.21958098,  0.38175373],
             [ 0.21877518,  0.37916272],
             [ 0.22320709,  0.39512735],
             [ 0.22119259,  0.38671083],
             [ 0.21474617,  0.36964983]]), 'split3_test_score': array([[ 0.19097502,  0.44004967],
             [ 0.18855761,  0.43742726],
             [ 0.19097502,  0.44006511],
             [ 0.17808219,  0.43150308],
             [ 0.1804996 ,  0.43389864],
             [ 0.20547945,  0.45501957],
             [ 0.1813054 ,  0.43485322],
             [ 0.17767929,  0.43056112],
             [ 0.19057212,  0.4397644 ],
             [ 0.17727639,  0.43034714],
             [ 0.20950846,  0.45770694],
             [ 0.19580983,  0.44368345],
             [ 0.18936342,  0.43800342],
             [ 0.18815471,  0.43716475],
             [ 0.18936342,  0.43781496],
             [ 0.19057212,  0.43995256],
             [ 0.19258662,  0.44444189],
             [ 0.19057212,  0.43966056],
             [ 0.18734891,  0.43662902],
             [ 0.20789686,  0.45580555],
             [ 0.19943594,  0.4463099 ],
             [ 0.17767929,  0.43078433]]), 'split4_test_score': array([[ 0.20024174,  0.36398923],
             [ 0.19661563,  0.36090662],
             [ 0.20064464,  0.36420739],
             [ 0.19178082,  0.35461155],
             [ 0.19419823,  0.3568678 ],
             [ 0.20910556,  0.37756964],
             [ 0.19500403,  0.35777911],
             [ 0.19137792,  0.35382671],
             [ 0.19943594,  0.3635273 ],
             [ 0.19137792,  0.35379036],
             [ 0.20346495,  0.38196422],
             [ 0.20547945,  0.36836037],
             [ 0.19661563,  0.36118061],
             [ 0.19661563,  0.36088286],
             [ 0.19621273,  0.36085239],
             [ 0.20064464,  0.36433217],
             [ 0.20588235,  0.36818681],
             [ 0.19943594,  0.36349423],
             [ 0.19661563,  0.36078273],
             [ 0.20749396,  0.38147806],
             [ 0.20628525,  0.37111217],
             [ 0.19178082,  0.35417015]]), 'split5_test_score': array([[ 0.11039484,  0.22018029],
             [ 0.10958904,  0.21766203],
             [ 0.11039484,  0.22018763],
             [ 0.10556003,  0.21141727],
             [ 0.10676873,  0.21300783],
             [ 0.11603546,  0.23387212],
             [ 0.10757454,  0.21383356],
             [ 0.10475423,  0.21033037],
             [ 0.11039484,  0.21998363],
             [ 0.10475423,  0.21029917],
             [ 0.12167607,  0.24501523],
             [ 0.11321515,  0.22440591],
             [ 0.10999194,  0.21822139],
             [ 0.10958904,  0.21748952],
             [ 0.10999194,  0.21814844],
             [ 0.11039484,  0.2204108 ],
             [ 0.11281225,  0.22413901],
             [ 0.11039484,  0.21983009],
             [ 0.10878324,  0.21679202],
             [ 0.11885576,  0.24083744],
             [ 0.11402095,  0.22752393],
             [ 0.10556003,  0.21098434]]), 'split6_test_score': array([[ 0.05721193,  0.24067545],
             [ 0.05640612,  0.23747971],
             [ 0.05721193,  0.24071183],
             [ 0.05560032,  0.22997588],
             [ 0.05640612,  0.23236187],
             [ 0.06043513,  0.25688067],
             [ 0.05640612,  0.23330775],
             [ 0.05560032,  0.22870699],
             [ 0.05721193,  0.24050752],
             [ 0.05560032,  0.22853935],
             [ 0.07211926,  0.27237609],
             [ 0.05882353,  0.24510587],
             [ 0.05680902,  0.23814109],
             [ 0.05640612,  0.23731937],
             [ 0.05640612,  0.23775655],
             [ 0.05680902,  0.24092028],
             [ 0.05882353,  0.24501634],
             [ 0.05721193,  0.24032786],
             [ 0.05600322,  0.2365423 ],
             [ 0.06768735,  0.26689886],
             [ 0.05922643,  0.24919773],
             [ 0.05560032,  0.2291881 ]]), 'split7_test_score': array([[ 0.10757454,  0.22516838],
             [ 0.10676873,  0.22266642],
             [ 0.10757454,  0.22523075],
             [ 0.10596293,  0.21721176],
             [ 0.10596293,  0.21858489],
             [ 0.11240935,  0.23901034],
             [ 0.10636583,  0.21946206],
             [ 0.10596293,  0.21616163],
             [ 0.10797744,  0.22514094],
             [ 0.10596293,  0.21605283],
             [ 0.12449637,  0.25165187],
             [ 0.10878324,  0.22854527],
             [ 0.10676873,  0.22309304],
             [ 0.10676873,  0.22259112],
             [ 0.10676873,  0.22297438],
             [ 0.10757454,  0.22545399],
             [ 0.10958904,  0.22936388],
             [ 0.10797744,  0.22498801],
             [ 0.10676873,  0.22235478],
             [ 0.12046737,  0.24709758],
             [ 0.11160355,  0.23252595],
             [ 0.10596293,  0.21652145]]), 'split8_test_score': array([[ 0.10999194,  0.24410064],
             [ 0.10958904,  0.24103441],
             [ 0.10999194,  0.2441477 ],
             [ 0.10878324,  0.23533006],
             [ 0.10838034,  0.23685823],
             [ 0.11563255,  0.25932553],
             [ 0.10838034,  0.23754772],
             [ 0.10878324,  0.23384281],
             [ 0.10999194,  0.24391458],
             [ 0.10878324,  0.23373059],
             [ 0.12731668,  0.27401773],
             [ 0.11039484,  0.24757037],
             [ 0.10918614,  0.24137793],
             [ 0.10878324,  0.24052938],
             [ 0.10918614,  0.24118961],
             [ 0.10999194,  0.24444915],
             [ 0.11079774,  0.24887866],
             [ 0.10999194,  0.24380052],
             [ 0.10878324,  0.2398569 ],
             [ 0.12570508,  0.26963002],
             [ 0.11200645,  0.25123041],
             [ 0.10878324,  0.2341681 ]]), 'split9_test_score': array([[ 0.12691378,  0.25733693],
             [ 0.12449637,  0.2545463 ],
             [ 0.12691378,  0.25741648],
             [ 0.12409347,  0.25104612],
             [ 0.12449637,  0.25221069],
             [ 0.13336019,  0.27034939],
             [ 0.12530218,  0.25291564],
             [ 0.12369057,  0.25005341],
             [ 0.12691378,  0.25730531],
             [ 0.12369057,  0.24997961],
             [ 0.13376309,  0.2759595 ],
             [ 0.12933118,  0.26045072],
             [ 0.12610798,  0.25554544],
             [ 0.12449637,  0.25449126],
             [ 0.12570508,  0.25526127],
             [ 0.12691378,  0.25759602],
             [ 0.13215149,  0.26265587],
             [ 0.12651088,  0.25700932],
             [ 0.12489927,  0.25442517],
             [ 0.13940371,  0.27663044],
             [ 0.13094279,  0.26370257],
             [ 0.12409347,  0.25065371]]), 'mean_test_score': array([[ 0.13102337,  0.29574367],
             [ 0.12977438,  0.29331417],
             [ 0.13106366,  0.29580106],
             [ 0.12743755,  0.2879482 ],
             [ 0.1280419 ,  0.28946543],
             [ 0.13533441,  0.30717271],
             [ 0.1284448 ,  0.29022338],
             [ 0.12711523,  0.28691749],
             [ 0.13086221,  0.29553721],
             [ 0.12707494,  0.2868178 ],
             [ 0.14033038,  0.31534562],
             [ 0.13267526,  0.29876834],
             [ 0.13021757,  0.29382184],
             [ 0.1296938 ,  0.29317015],
             [ 0.13001612,  0.29359744],
             [ 0.13094279,  0.29593491],
             [ 0.13207091,  0.2987155 ],
             [ 0.13086221,  0.29540449],
             [ 0.12973409,  0.29287537],
             [ 0.13972603,  0.31293133],
             [ 0.13392425,  0.30152022],
             [ 0.12731668,  0.287337  ]]), 'std_test_score': array([[ 0.06546112,  0.07282121],
             [ 0.06533295,  0.07286129],
             [ 0.06550382,  0.07283399],
             [ 0.06396286,  0.07244265],
             [ 0.06420496,  0.07259101],
             [ 0.06511169,  0.07187115],
             [ 0.06422948,  0.07258992],
             [ 0.06380333,  0.07249342],
             [ 0.06548492,  0.07277399],
             [ 0.06377151,  0.07247086],
             [ 0.06104422,  0.06867338],
             [ 0.06542794,  0.07254144],
             [ 0.06537625,  0.07282913],
             [ 0.06535779,  0.0728619 ],
             [ 0.06531172,  0.07280543],
             [ 0.06547902,  0.07274174],
             [ 0.06445754,  0.07194893],
             [ 0.06552135,  0.0727865 ],
             [ 0.06555335,  0.07295871],
             [ 0.06285688,  0.06973299],
             [ 0.06568797,  0.07219798],
             [ 0.06385286,  0.07243411]]), 'rank_test_score': array([ 8, 14,  7, 19, 18,  3, 17, 21, 10, 22,  1,  5, 12, 16, 13,  9,  6,
             10, 15,  2,  4, 20], dtype=int32), 'split0_train_score': array([[ 0.19879276,  0.35442858],
             [ 0.18832998,  0.34319224],
             [ 0.19959759,  0.35487711],
             [ 0.1750503 ,  0.32753682],
             [ 0.18631791,  0.33698255],
             [ 0.32152918,  0.45980208],
             [ 0.18953722,  0.34093007],
             [ 0.1722334 ,  0.32347308],
             [ 0.19758551,  0.35311996],
             [ 0.17183099,  0.32278729],
             [ 0.36177062,  0.4948759 ],
             [ 0.21327968,  0.36899019],
             [ 0.19034205,  0.34492761],
             [ 0.18712274,  0.34232902],
             [ 0.19034205,  0.34466026],
             [ 0.20040241,  0.35574924],
             [ 0.24507042,  0.39388539],
             [ 0.19678068,  0.35225211],
             [ 0.18390342,  0.33977345],
             [ 0.3331992 ,  0.46946828],
             [ 0.23702213,  0.38840383],
             [ 0.17344064,  0.32514505]]), 'split1_train_score': array([[ 0.18421582,  0.31769052],
             [ 0.16287497,  0.3006066 ],
             [ 0.18421582,  0.317756  ],
             [ 0.1441514 ,  0.28418548],
             [ 0.1574391 ,  0.29471555],
             [ 0.33782968,  0.44172555],
             [ 0.1644856 ,  0.29992677],
             [ 0.13670223,  0.27756102],
             [ 0.18260519,  0.31620504],
             [ 0.13589692,  0.27688684],
             [ 0.37829676,  0.47878216],
             [ 0.21441514,  0.34016401],
             [ 0.16649889,  0.30347515],
             [ 0.16227099,  0.29985769],
             [ 0.16508959,  0.30243577],
             [ 0.18864506,  0.32066113],
             [ 0.25850614,  0.37135712],
             [ 0.18220254,  0.31561595],
             [ 0.15844574,  0.29701856],
             [ 0.35333199,  0.45489325],
             [ 0.24239984,  0.36304969],
             [ 0.14012482,  0.28039424]]), 'split2_train_score': array([[ 0.16552557,  0.30544604],
             [ 0.15478588,  0.29346148],
             [ 0.16565982,  0.30561405],
             [ 0.14297221,  0.27756472],
             [ 0.1469996 ,  0.283641  ],
             [ 0.26070614,  0.39809335],
             [ 0.14861055,  0.28621032],
             [ 0.14055578,  0.27347657],
             [ 0.1644516 ,  0.30434352],
             [ 0.14042153,  0.2730845 ],
             [ 0.32796349,  0.45092642],
             [ 0.17814472,  0.31962257],
             [ 0.15626259,  0.29522833],
             [ 0.15411465,  0.29272761],
             [ 0.15599409,  0.29476718],
             [ 0.16740502,  0.30730826],
             [ 0.18995838,  0.33307929],
             [ 0.16351188,  0.30344349],
             [ 0.1522352 ,  0.29070886],
             [ 0.29399919,  0.42300633],
             [ 0.19626796,  0.33758841],
             [ 0.14109276,  0.27462932]]), 'split3_train_score': array([[ 0.18407008,  0.32095529],
             [ 0.17470547,  0.30989959],
             [ 0.18437217,  0.32118594],
             [ 0.16352835,  0.29490902],
             [ 0.16755614,  0.30105193],
             [ 0.25938979,  0.40052318],
             [ 0.16896586,  0.30356974],
             [ 0.16141375,  0.29092106],
             [ 0.18286175,  0.31977019],
             [ 0.16111167,  0.29053937],
             [ 0.32373376,  0.45062298],
             [ 0.19846944,  0.33565241],
             [ 0.17571242,  0.31144984],
             [ 0.1740006 ,  0.30905819],
             [ 0.17520894,  0.31086851],
             [ 0.18598328,  0.32263065],
             [ 0.20712919,  0.34747393],
             [ 0.18245897,  0.31914901],
             [ 0.17319505,  0.30748432],
             [ 0.29463297,  0.4261324 ],
             [ 0.21397644,  0.35165199],
             [ 0.16181653,  0.29212994]]), 'split4_train_score': array([[ 0.18520906,  0.31621717],
             [ 0.17860308,  0.30621482],
             [ 0.1855313 ,  0.31650466],
             [ 0.16917748,  0.28970084],
             [ 0.17288327,  0.2959855 ],
             [ 0.24458229,  0.38505004],
             [ 0.17409168,  0.29841748],
             [ 0.16676065,  0.28574333],
             [ 0.18440345,  0.31526382],
             [ 0.16635785,  0.28523058],
             [ 0.30629179,  0.43606766],
             [ 0.19745428,  0.33004345],
             [ 0.17932812,  0.30767211],
             [ 0.1783614 ,  0.30571444],
             [ 0.17908644,  0.30725905],
             [ 0.18682027,  0.31802329],
             [ 0.20148232,  0.33688713],
             [ 0.18400064,  0.31468618],
             [ 0.17731411,  0.30407229],
             [ 0.27874003,  0.4123038 ],
             [ 0.20986063,  0.344306  ],
             [ 0.1674857 ,  0.28709995]]), 'split5_train_score': array([[ 0.18623699,  0.31395512],
             [ 0.1796576 ,  0.30336418],
             [ 0.18623699,  0.31406888],
             [ 0.17126553,  0.28570305],
             [ 0.17455522,  0.29235094],
             [ 0.23799933,  0.37996513],
             [ 0.1761665 ,  0.29536715],
             [ 0.1693857 ,  0.28165072],
             [ 0.18563276,  0.31306082],
             [ 0.16931856,  0.28130777],
             [ 0.30077207,  0.43167406],
             [ 0.19556898,  0.32703675],
             [ 0.18100034,  0.30549599],
             [ 0.17945619,  0.30278251],
             [ 0.18059752,  0.3047348 ],
             [ 0.1869755 ,  0.31511358],
             [ 0.19838872,  0.33342807],
             [ 0.18529708,  0.31246535],
             [ 0.17851628,  0.30118879],
             [ 0.27492447,  0.40889896],
             [ 0.20792212,  0.34198351],
             [ 0.17025848,  0.28319481]]), 'split6_train_score': array([[ 0.17488634,  0.30227923],
             [ 0.1693618 ,  0.29161282],
             [ 0.17505899,  0.30251527],
             [ 0.16142027,  0.27245537],
             [ 0.16372216,  0.27932753],
             [ 0.22374403,  0.36993178],
             [ 0.16544858,  0.2825413 ],
             [ 0.16009668,  0.26843079],
             [ 0.1747137 ,  0.30148276],
             [ 0.15992404,  0.26800534],
             [ 0.29268573,  0.42530206],
             [ 0.18357599,  0.31582986],
             [ 0.17005237,  0.29338598],
             [ 0.16895897,  0.29090264],
             [ 0.16970708,  0.29277411],
             [ 0.1759222 ,  0.30384051],
             [ 0.18576279,  0.32275208],
             [ 0.17413823,  0.30075556],
             [ 0.16849859,  0.28931787],
             [ 0.2665017 ,  0.40227344],
             [ 0.19617886,  0.33150372],
             [ 0.16049951,  0.26972756]]), 'split7_train_score': array([[ 0.16088423,  0.28880181],
             [ 0.15514376,  0.27789065],
             [ 0.1610353 ,  0.28903378],
             [ 0.14789264,  0.25938794],
             [ 0.14985649,  0.26632443],
             [ 0.21053427,  0.35760165],
             [ 0.1515182 ,  0.26944824],
             [ 0.14673448,  0.25508868],
             [ 0.16038068,  0.2878266 ],
             [ 0.14663377,  0.25464208],
             [ 0.28143411,  0.41382268],
             [ 0.16868926,  0.30233981],
             [ 0.15579838,  0.27964777],
             [ 0.1549927 ,  0.27729398],
             [ 0.15559696,  0.27903793],
             [ 0.16143814,  0.29031001],
             [ 0.17025026,  0.30939225],
             [ 0.15997784,  0.28707711],
             [ 0.15433808,  0.27561474],
             [ 0.25560199,  0.3910266 ],
             [ 0.18067375,  0.31793404],
             [ 0.14703661,  0.25658847]]), 'split8_train_score': array([[ 0.15518553,  0.28138991],
             [ 0.14959044,  0.27018649],
             [ 0.15531982,  0.28167169],
             [ 0.14283157,  0.25201663],
             [ 0.14480104,  0.25857189],
             [ 0.20303478,  0.35001653],
             [ 0.14596482,  0.26161672],
             [ 0.14202587,  0.24794534],
             [ 0.15455888,  0.28026389],
             [ 0.14180207,  0.24746525],
             [ 0.27608433,  0.40768825],
             [ 0.16292914,  0.29491063],
             [ 0.15057518,  0.27217091],
             [ 0.1496352 ,  0.26974993],
             [ 0.15026185,  0.27149443],
             [ 0.15625979,  0.28322302],
             [ 0.16422721,  0.30166504],
             [ 0.15429032,  0.27969917],
             [ 0.14909807,  0.26809773],
             [ 0.24815362,  0.38360346],
             [ 0.17398505,  0.31039529],
             [ 0.14242872,  0.24932909]]), 'split9_train_score': array([[ 0.15050558,  0.2774399 ],
             [ 0.14551021,  0.26646982],
             [ 0.15062644,  0.27766503],
             [ 0.13918543,  0.24778772],
             [ 0.14043427,  0.25414498],
             [ 0.19792128,  0.34585148],
             [ 0.14160255,  0.25708934],
             [ 0.13833944,  0.24369347],
             [ 0.1499013 ,  0.27637854],
             [ 0.1381783 ,  0.24322364],
             [ 0.27361721,  0.40476337],
             [ 0.15908633,  0.29125624],
             [ 0.14615478,  0.26819583],
             [ 0.1452685 ,  0.26580393],
             [ 0.14575192,  0.26750204],
             [ 0.15167385,  0.27910224],
             [ 0.16045603,  0.29777214],
             [ 0.14953873,  0.27561572],
             [ 0.1449865 ,  0.26424916],
             [ 0.24630383,  0.38107158],
             [ 0.17020505,  0.30655786],
             [ 0.13862144,  0.24517005]]), 'mean_train_score': array([[ 0.1745512 ,  0.30786036],
             [ 0.16585632,  0.29628987],
             [ 0.17476542,  0.30808924],
             [ 0.15574752,  0.27912476],
             [ 0.16045652,  0.28630963],
             [ 0.24972708,  0.38885608],
             [ 0.16263916,  0.28951172],
             [ 0.1534248 ,  0.27479841],
             [ 0.17370948,  0.30677151],
             [ 0.15314757,  0.27431727],
             [ 0.31226499,  0.43945255],
             [ 0.1871613 ,  0.32258459],
             [ 0.16717251,  0.29816495],
             [ 0.16541819,  0.29562199],
             [ 0.16676365,  0.29755341],
             [ 0.17615255,  0.30959619],
             [ 0.19812315,  0.33476924],
             [ 0.17321969,  0.30607597],
             [ 0.1640531 ,  0.29375258],
             [ 0.2845389 ,  0.41526781],
             [ 0.20284918,  0.33933743],
             [ 0.15428052,  0.27634085]]), 'std_train_score': array([[ 0.01497797,  0.02137753],
             [ 0.01368708,  0.02119261],
             [ 0.01509329,  0.02141139],
             [ 0.01298843,  0.02219668],
             [ 0.01425348,  0.02290215],
             [ 0.04513395,  0.03582789],
             [ 0.01459464,  0.02314069],
             [ 0.0131993 ,  0.02218764],
             [ 0.01478999,  0.02130017],
             [ 0.01322572,  0.02214359],
             [ 0.03390181,  0.02831323],
             [ 0.01881547,  0.02218176],
             [ 0.01386754,  0.02117487],
             [ 0.01350316,  0.02111444],
             [ 0.01391559,  0.02126391],
             [ 0.01536136,  0.02135331],
             [ 0.03083294,  0.02873503],
             [ 0.01474045,  0.02128113],
             [ 0.01317226,  0.02089372],
             [ 0.03371388,  0.02768328],
             [ 0.02325745,  0.02363852],
             [ 0.0130564 ,  0.02224497]]), 'mean_fit_time': array([ 2.2611378 ,  2.28127797,  2.25284662,  2.24110627,  2.27059643,
              2.27257197,  2.27563713,  2.27409587,  2.24847639,  2.27434685,
              2.25412748,  2.27455142,  2.27370322,  2.2741787 ,  2.27017031,
              2.27170205,  2.27562356,  2.25020888,  2.27651742,  2.27286367,
              2.25145793,  2.27985339]), 'std_fit_time': array([ 1.36313084,  1.38611036,  1.35471838,  1.36124508,  1.37397389,
              1.37274377,  1.37996791,  1.37733498,  1.3616742 ,  1.38209997,
              1.36919286,  1.37955038,  1.37699554,  1.37214503,  1.37112874,
              1.38528346,  1.3760611 ,  1.35793947,  1.38237243,  1.37249757,
              1.36169274,  1.37636553]), 'mean_score_time': array([ 1.48001473,  1.4729531 ,  1.4715781 ,  1.47030704,  1.47056921,
              1.47222788,  1.47853062,  1.47775977,  1.47898812,  1.48045886,
              1.47172463,  1.47668631,  1.47475331,  1.47344472,  1.46790829,
              1.48077991,  1.47909081,  1.48067632,  1.47703919,  1.47009914,
              1.47532718,  1.47758088]), 'std_score_time': array([ 0.42504547,  0.42548885,  0.42594978,  0.43041551,  0.42739465,
              0.4246543 ,  0.43387496,  0.42358155,  0.42488648,  0.43643229,
              0.4278049 ,  0.42439895,  0.42723489,  0.42739983,  0.42338429,
              0.43588729,  0.42613134,  0.42106641,  0.43372995,  0.42011512,
              0.42782681,  0.42374378]), 'param_clf__alpha': masked_array(data = [0.54881350392732475, 0.84426574858101733, 0.54488318299689686,
       0.62356369678597234, 0.43758721126269251, 0.056712977317443181,
       0.38344151882577771, 0.81216872877549318, 0.56804456109393231,
       0.83607876353737753, 0.087129299701540708, 0.36824153984054797,
       0.77815675094985048, 0.87008725835843637, 0.7991585642167236,
       0.52047747955120482, 0.11827442586893322, 0.58201979207510712,
       0.94466891704958389, 0.10590760718779213, 0.26455561210462697,
       0.73691817712895813],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__fit_prior': masked_array(data = [False, False, False, True, True, True, True, True, False, True, False, False, False,
       False, False, False, True, False, False, False, False, True],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__alpha': 0.54881350392732475, 'clf__fit_prior': False}, {'clf__alpha': 0.84426574858101733, 'clf__fit_prior': False}, {'clf__alpha': 0.54488318299689686, 'clf__fit_prior': False}, {'clf__alpha': 0.62356369678597234, 'clf__fit_prior': True}, {'clf__alpha': 0.43758721126269251, 'clf__fit_prior': True}, {'clf__alpha': 0.056712977317443181, 'clf__fit_prior': True}, {'clf__alpha': 0.38344151882577771, 'clf__fit_prior': True}, {'clf__alpha': 0.81216872877549318, 'clf__fit_prior': True}, {'clf__alpha': 0.56804456109393231, 'clf__fit_prior': False}, {'clf__alpha': 0.83607876353737753, 'clf__fit_prior': True}, {'clf__alpha': 0.087129299701540708, 'clf__fit_prior': False}, {'clf__alpha': 0.36824153984054797, 'clf__fit_prior': False}, {'clf__alpha': 0.77815675094985048, 'clf__fit_prior': False}, {'clf__alpha': 0.87008725835843637, 'clf__fit_prior': False}, {'clf__alpha': 0.7991585642167236, 'clf__fit_prior': False}, {'clf__alpha': 0.52047747955120482, 'clf__fit_prior': False}, {'clf__alpha': 0.11827442586893322, 'clf__fit_prior': True}, {'clf__alpha': 0.58201979207510712, 'clf__fit_prior': False}, {'clf__alpha': 0.94466891704958389, 'clf__fit_prior': False}, {'clf__alpha': 0.10590760718779213, 'clf__fit_prior': False}, {'clf__alpha': 0.26455561210462697, 'clf__fit_prior': False}, {'clf__alpha': 0.73691817712895813, 'clf__fit_prior': True}]}
      random_linear_svc = {'split0_test_score': array([[ 0.05560032,  0.26737963],
             [ 0.        ,  0.24975973],
             [ 0.00523771,  0.17227805],
             [ 0.        ,  0.24968466],
             [ 0.08380338,  0.28071022],
             [ 0.02377115,  0.23646238],
             [ 0.07534247,  0.27655577],
             [ 0.06929895,  0.26949064],
             [ 0.02256245,  0.23575884],
             [ 0.06809025,  0.27238625],
             [ 0.01087832,  0.22571449],
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             [ 0.59387718,  0.69884844]]), 'std_train_score': array([[ 0.04014545,  0.03171848],
             [ 0.01834952,  0.02354126],
             [ 0.01063506,  0.0103807 ],
             [ 0.01567321,  0.01968172],
             [ 0.01623107,  0.01422029],
             [ 0.01562916,  0.01357055],
             [ 0.01572733,  0.01360976],
             [ 0.00811265,  0.00761132],
             [ 0.01566217,  0.01357283],
             [ 0.01581635,  0.01373284],
             [ 0.01077117,  0.01017467],
             [ 0.01599814,  0.02901976],
             [ 0.0031554 ,  0.0027918 ],
             [ 0.0570049 ,  0.09222887],
             [ 0.04889318,  0.07576365],
             [ 0.01522263,  0.02300543],
             [ 0.04050666,  0.03147446],
             [ 0.01603414,  0.02005033],
             [ 0.02015286,  0.02004833],
             [ 0.01673798,  0.01856805]]), 'mean_fit_time': array([ 24.12842031,  13.02144127,  14.90162184,  23.07680545,
              33.31965392,  26.62015932,  32.07848487,  36.46640205,
              26.69936278,  30.76578431,  25.26741929,  18.87410402,
              36.92407429,  12.37852571,  20.61438091,  18.18706501,
              24.6254524 ,  18.29268105,  21.42342918,  20.91247208]), 'std_fit_time': array([ 17.28962294,   9.77777805,  11.0663065 ,  15.91490237,
              23.25569021,  19.20081462,  22.46308635,  24.67736734,
              19.26458769,  21.55468942,  18.30636345,  13.73507359,
              25.26395317,   9.20049543,  15.30987068,  13.24879581,
              17.75073468,  13.51305816,  15.48851804,  15.26616764]), 'mean_score_time': array([ 0.82806759,  0.82617567,  0.826297  ,  0.82001636,  0.82715926,
              0.82435212,  0.81983256,  0.82127099,  0.82563684,  0.82985392,
              0.82087491,  0.82071548,  0.82105324,  0.83289707,  0.82595961,
              0.8250648 ,  0.8273149 ,  0.83063219,  0.83939683,  0.84060929]), 'std_score_time': array([ 0.11038635,  0.12056779,  0.12501605,  0.11310175,  0.12353396,
              0.12305906,  0.1115949 ,  0.11502263,  0.11875836,  0.13060464,
              0.11581737,  0.11403552,  0.11298287,  0.11343644,  0.1128396 ,
              0.10973526,  0.10896582,  0.10741324,  0.09731094,  0.10836137]), 'param_clf__C': masked_array(data = [5.3194539255576858, 0.00019262011386998078, 0.010539556046107129,
       0.00013386763845186681, 128.23089006883103, 3.5292649461209353,
       66.40783145758806, 6975.2777284372978, 3.3830622582020169, 40.047652338126362,
       1.1584107371731716, 0.003823596471828191, 5414.0836587041131,
       0.0013358028759227212, 0.0018776215490140346, 0.0057144396944068627,
       6.0404739122994826, 0.01349142425680425, 0.83171343238293183,
       0.1013400463654896],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__loss': masked_array(data = ['squared_hinge', 'hinge', 'hinge', 'squared_hinge', 'hinge', 'hinge', 'hinge',
       'hinge', 'hinge', 'hinge', 'hinge', 'squared_hinge', 'squared_hinge', 'hinge',
       'squared_hinge', 'squared_hinge', 'squared_hinge', 'squared_hinge',
       'squared_hinge', 'hinge'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__C': 5.3194539255576858, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.00019262011386998078, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.010539556046107129, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.00013386763845186681, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 128.23089006883103, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 3.5292649461209353, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 66.40783145758806, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 6975.2777284372978, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 3.3830622582020169, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 40.047652338126362, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 1.1584107371731716, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.003823596471828191, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 5414.0836587041131, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.0013358028759227212, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}, {'clf__C': 0.0018776215490140346, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.0057144396944068627, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 6.0404739122994826, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.01349142425680425, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.83171343238293183, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge'}, {'clf__C': 0.1013400463654896, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge'}]}
      random_primal_logistic_regression = {'split0_test_score': array([[ 0.0435133 ,  0.26297867],
             [ 0.0020145 ,  0.16117524],
             [ 0.02618856,  0.22423999],
             [ 0.06849315,  0.29947526],
             [ 0.0922643 ,  0.3253851 ],
             [ 0.07856567,  0.30589443],
             [ 0.08823529,  0.32094286],
             [ 0.03102337,  0.23498884],
             [ 0.0020145 ,  0.16099877],
             [ 0.06970185,  0.30261364],
             [ 0.0020145 ,  0.16104444],
             [ 0.0926672 ,  0.32661475],
             [ 0.        ,  0.15774253],
             [ 0.06647865,  0.29646532],
             [ 0.0020145 ,  0.16132996],
             [ 0.08662369,  0.31730175],
             [ 0.00241741,  0.16045207],
             [ 0.0020145 ,  0.16102081],
             [ 0.0020145 ,  0.16225307],
             [ 0.07775987,  0.31174421],
             [ 0.0926672 ,  0.32591919],
             [ 0.        ,  0.15611331],
             [ 0.0020145 ,  0.16105584],
             [ 0.0020145 ,  0.16095774],
             [ 0.09387591,  0.32695526],
             [ 0.0020145 ,  0.16304306],
             [ 0.07050766,  0.30471425],
             [ 0.0906527 ,  0.3213689 ],
             [ 0.08662369,  0.31577131],
             [ 0.06970185,  0.30284157]]), 'split1_test_score': array([[ 0.05036261,  0.20719518],
             [ 0.00362611,  0.09971938],
             [ 0.03424658,  0.17635453],
             [ 0.07252216,  0.24118832],
             [ 0.09709911,  0.27191449],
             [ 0.11281225,  0.28857238],
             [ 0.11240935,  0.28614325],
             [ 0.03464948,  0.18225051],
             [ 0.00362611,  0.09956052],
             [ 0.06768735,  0.23436268],
             [ 0.00362611,  0.0996177 ],
             [ 0.08138598,  0.25769268],
             [ 0.0016116 ,  0.09220478],
             [ 0.06486704,  0.23020573],
             [ 0.00362611,  0.10001851],
             [ 0.11684126,  0.28935533],
             [ 0.00362611,  0.09959337],
             [ 0.00362611,  0.09955471],
             [ 0.00402901,  0.10138756],
             [ 0.07050766,  0.24043891],
             [ 0.07856567,  0.25336229],
             [ 0.00322321,  0.09997617],
             [ 0.00362611,  0.0996314 ],
             [ 0.00362611,  0.09951516],
             [ 0.09589041,  0.27247455],
             [ 0.0008058 ,  0.09462939],
             [ 0.06889605,  0.23607546],
             [ 0.11442385,  0.28715067],
             [ 0.11402095,  0.28736936],
             [ 0.06325544,  0.22988351]]), 'split2_test_score': array([[ 0.07252216,  0.24895349],
             [ 0.0016116 ,  0.10575757],
             [ 0.04069299,  0.19857312],
             [ 0.09991942,  0.29811707],
             [ 0.15874295,  0.35799948],
             [ 0.17848509,  0.37973418],
             [ 0.16720387,  0.36794263],
             [ 0.05036261,  0.21330608],
             [ 0.0016116 ,  0.10557871],
             [ 0.09871072,  0.29685386],
             [ 0.0016116 ,  0.10561916],
             [ 0.1377921 ,  0.33792379],
             [ 0.        ,  0.10123575],
             [ 0.0922643 ,  0.28711682],
             [ 0.0016116 ,  0.10599183],
             [ 0.16680097,  0.36647864],
             [ 0.0016116 ,  0.10555876],
             [ 0.0012087 ,  0.10537575],
             [ 0.0020145 ,  0.10707262],
             [ 0.11281225,  0.3107672 ],
             [ 0.1353747 ,  0.33525381],
             [ 0.0012087 ,  0.10556604],
             [ 0.0016116 ,  0.10563494],
             [ 0.0012087 ,  0.10535074],
             [ 0.16398066,  0.36352859],
             [ 0.0012087 ,  0.10374238],
             [ 0.09991942,  0.29936249],
             [ 0.17526189,  0.37125231],
             [ 0.16518936,  0.36531186],
             [ 0.10757454,  0.30546335]]), 'split3_test_score': array([[ 0.06083803,  0.31899927],
             [ 0.00322321,  0.20503743],
             [ 0.04875101,  0.29727666],
             [ 0.07695407,  0.34295018],
             [ 0.10918614,  0.38202675],
             [ 0.13094279,  0.40762281],
             [ 0.12651088,  0.40179318],
             [ 0.05076551,  0.30362929],
             [ 0.00322321,  0.20482334],
             [ 0.07735697,  0.34363201],
             [ 0.00322321,  0.20493385],
             [ 0.0918614 ,  0.36404525],
             [ 0.        ,  0.19758505],
             [ 0.07413376,  0.33908765],
             [ 0.00322321,  0.20541619],
             [ 0.13053989,  0.40651985],
             [ 0.00322321,  0.20478681],
             [ 0.00322321,  0.20480865],
             [ 0.00362611,  0.20755987],
             [ 0.07614827,  0.34326445],
             [ 0.0910556 ,  0.36260899],
             [ 0.00362611,  0.20514362],
             [ 0.00322321,  0.20495497],
             [ 0.00322321,  0.20478453],
             [ 0.11160355,  0.3849308 ],
             [ 0.0020145 ,  0.20127437],
             [ 0.07896857,  0.34598775],
             [ 0.12731668,  0.40475565],
             [ 0.13134569,  0.40717892],
             [ 0.07937147,  0.3475074 ]]), 'split4_test_score': array([[ 0.10999194,  0.28111647],
             [ 0.00322321,  0.1209766 ],
             [ 0.089444  ,  0.25324044],
             [ 0.12167607,  0.30510136],
             [ 0.14383562,  0.3474328 ],
             [ 0.15753425,  0.36576643],
             [ 0.15995165,  0.3672465 ],
             [ 0.09951652,  0.26361896],
             [ 0.00322321,  0.1207682 ],
             [ 0.12369057,  0.30611434],
             [ 0.00322321,  0.12081039],
             [ 0.13980661,  0.33355178],
             [ 0.00241741,  0.11844003],
             [ 0.12248187,  0.30175371],
             [ 0.00322321,  0.1213386 ],
             [ 0.16116035,  0.37134144],
             [ 0.00322321,  0.1207068 ],
             [ 0.00322321,  0.12073648],
             [ 0.00402901,  0.12323807],
             [ 0.12610798,  0.31531592],
             [ 0.13980661,  0.33212995],
             [ 0.00322321,  0.12072717],
             [ 0.00322321,  0.12082421],
             [ 0.00322321,  0.1207228 ],
             [ 0.14665592,  0.35270673],
             [ 0.00282031,  0.11894426],
             [ 0.12489927,  0.30850635],
             [ 0.14907333,  0.35560943],
             [ 0.16357776,  0.37356258],
             [ 0.12610798,  0.31269082]]), 'split5_test_score': array([[ 0.09508461,  0.23557783],
             [ 0.00402901,  0.07218821],
             [ 0.08501209,  0.2077365 ],
             [ 0.11603546,  0.26510227],
             [ 0.15551974,  0.30390523],
             [ 0.16075745,  0.30374562],
             [ 0.16962127,  0.31273676],
             [ 0.08823529,  0.2166814 ],
             [ 0.00402901,  0.0719505 ],
             [ 0.11522965,  0.26592195],
             [ 0.00402901,  0.07208151],
             [ 0.1357776 ,  0.28964601],
             [ 0.0020145 ,  0.06818528],
             [ 0.11402095,  0.26093825],
             [ 0.00402901,  0.07245387],
             [ 0.17526189,  0.31560321],
             [ 0.00402901,  0.07181018],
             [ 0.00402901,  0.07195808],
             [ 0.00443191,  0.07415516],
             [ 0.12167607,  0.2750146 ],
             [ 0.13295729,  0.28809735],
             [ 0.00402901,  0.07188583],
             [ 0.00402901,  0.0720923 ],
             [ 0.00402901,  0.07189813],
             [ 0.15672844,  0.30467406],
             [ 0.00322321,  0.06953386],
             [ 0.11482675,  0.26682681],
             [ 0.15874295,  0.30362603],
             [ 0.17767929,  0.31649481],
             [ 0.11684126,  0.2690316 ]]), 'split6_test_score': array([[ 0.0890411 ,  0.29341858],
             [ 0.0008058 ,  0.12707992],
             [ 0.05922643,  0.24281234],
             [ 0.10999194,  0.32278867],
             [ 0.12933118,  0.34411727],
             [ 0.1377921 ,  0.3492911 ],
             [ 0.13336019,  0.34628848],
             [ 0.06849315,  0.25988465],
             [ 0.0008058 ,  0.12699602],
             [ 0.11120064,  0.32312909],
             [ 0.0008058 ,  0.12702485],
             [ 0.12852538,  0.3406154 ],
             [ 0.0012087 ,  0.12761816],
             [ 0.10636583,  0.31826481],
             [ 0.0008058 ,  0.12726702],
             [ 0.13013699,  0.34385758],
             [ 0.0008058 ,  0.12684543],
             [ 0.0008058 ,  0.12698684],
             [ 0.0012087 ,  0.12835588],
             [ 0.11643836,  0.32907935],
             [ 0.12691378,  0.33949044],
             [ 0.0008058 ,  0.12690742],
             [ 0.0008058 ,  0.12703225],
             [ 0.0008058 ,  0.12696579],
             [ 0.13215149,  0.3473072 ],
             [ 0.0020145 ,  0.12691887],
             [ 0.11361805,  0.32535539],
             [ 0.13295729,  0.34419213],
             [ 0.13174859,  0.34331376],
             [ 0.11160355,  0.32395185]]), 'split7_test_score': array([[ 0.09427881,  0.21983276],
             [ 0.0020145 ,  0.06580628],
             [ 0.06688155,  0.17889968],
             [ 0.10999194,  0.24794118],
             [ 0.12570508,  0.2721814 ],
             [ 0.13215149,  0.28702143],
             [ 0.13255439,  0.28341327],
             [ 0.07211926,  0.19120937],
             [ 0.0020145 ,  0.06559741],
             [ 0.11200645,  0.24894997],
             [ 0.0020145 ,  0.06563648],
             [ 0.11845286,  0.26326641],
             [ 0.0020145 ,  0.06609356],
             [ 0.10958904,  0.24470382],
             [ 0.0020145 ,  0.06599941],
             [ 0.1353747 ,  0.28636096],
             [ 0.0020145 ,  0.06517683],
             [ 0.0020145 ,  0.06556338],
             [ 0.0020145 ,  0.06777287],
             [ 0.11724416,  0.25613166],
             [ 0.11925866,  0.26309969],
             [ 0.0020145 ,  0.065497  ],
             [ 0.0020145 ,  0.06564433],
             [ 0.0020145 ,  0.06553448],
             [ 0.13013699,  0.2778039 ],
             [ 0.00282031,  0.06606667],
             [ 0.11120064,  0.24997682],
             [ 0.12288477,  0.27572038],
             [ 0.1385979 ,  0.28825906],
             [ 0.11079774,  0.2491359 ]]), 'split8_test_score': array([[ 0.089444  ,  0.23044353],
             [ 0.0016116 ,  0.07477092],
             [ 0.06486704,  0.18535867],
             [ 0.11079774,  0.26532357],
             [ 0.13094279,  0.29493291],
             [ 0.14141821,  0.30453133],
             [ 0.14182111,  0.30555436],
             [ 0.07534247,  0.20200859],
             [ 0.0016116 ,  0.07467631],
             [ 0.11160355,  0.26595727],
             [ 0.0016116 ,  0.07470524],
             [ 0.12369057,  0.28512513],
             [ 0.0012087 ,  0.07423944],
             [ 0.10757454,  0.25983643],
             [ 0.0016116 ,  0.07497617],
             [ 0.14504432,  0.30792576],
             [ 0.0016116 ,  0.07456621],
             [ 0.0016116 ,  0.07461113],
             [ 0.0016116 ,  0.07589709],
             [ 0.11603546,  0.2750921 ],
             [ 0.12248187,  0.28394547],
             [ 0.0016116 ,  0.07459169],
             [ 0.0016116 ,  0.07471606],
             [ 0.0016116 ,  0.07460444],
             [ 0.1349718 ,  0.29841084],
             [ 0.00523771,  0.07511034],
             [ 0.11240935,  0.26770376],
             [ 0.1385979 ,  0.30342343],
             [ 0.14705882,  0.30919296],
             [ 0.11442385,  0.26979351]]), 'split9_test_score': array([[ 0.08380338,  0.21735727],
             [ 0.00846092,  0.07778812],
             [ 0.05479452,  0.16850149],
             [ 0.10515713,  0.250596  ],
             [ 0.12691378,  0.28251397],
             [ 0.12933118,  0.28948546],
             [ 0.134166  ,  0.29271606],
             [ 0.06446414,  0.18390605],
             [ 0.00846092,  0.07772439],
             [ 0.10435133,  0.25105286],
             [ 0.00846092,  0.07774504],
             [ 0.11563255,  0.26941519],
             [ 0.00846092,  0.07772001],
             [ 0.10475423,  0.24728732],
             [ 0.00846092,  0.07795735],
             [ 0.1369863 ,  0.29638277],
             [ 0.00846092,  0.0776939 ],
             [ 0.00846092,  0.07770919],
             [ 0.00846092,  0.07848714],
             [ 0.11200645,  0.26036284],
             [ 0.11603546,  0.26926588],
             [ 0.00846092,  0.07756638],
             [ 0.00846092,  0.07775019],
             [ 0.00846092,  0.07770305],
             [ 0.13053989,  0.28635692],
             [ 0.00846092,  0.07727514],
             [ 0.10676873,  0.25357191],
             [ 0.13013699,  0.28622626],
             [ 0.1361805 ,  0.29753173],
             [ 0.10636583,  0.25376844]]), 'mean_test_score': array([[ 0.07888799,  0.25158731],
             [ 0.00306205,  0.11102997],
             [ 0.05701048,  0.21329934],
             [ 0.09915391,  0.28385839],
             [ 0.12695407,  0.31824094],
             [ 0.13597905,  0.32816652],
             [ 0.1365834 ,  0.32847773],
             [ 0.06349718,  0.22514837],
             [ 0.00306205,  0.11086742],
             [ 0.09915391,  0.28385877],
             [ 0.00306205,  0.11092187],
             [ 0.11655923,  0.30678964],
             [ 0.00189363,  0.10810646],
             [ 0.09625302,  0.27856599],
             [ 0.00306205,  0.11127489],
             [ 0.13847703,  0.33011273],
             [ 0.00310234,  0.11071904],
             [ 0.00302176,  0.1108325 ],
             [ 0.00334408,  0.11261793],
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              1.2671082 ,  1.24795892,  1.25373819,  1.26793237,  1.25464823,
              1.24120593,  1.25333414,  1.08171287,  1.27326622,  1.26201935,
              1.24581006,  1.08049147,  1.0862097 ,  1.0681025 ,  1.06935358,
              1.24323945,  1.0773232 ,  1.24329829,  1.2425185 ,  1.07331913,
              1.24602983,  1.25959783,  1.2509892 ,  1.26770387,  1.07113657]), 'std_score_time': array([ 0.34058514,  0.22064673,  0.34010682,  0.2245529 ,  0.21993206,
              0.34113591,  0.34169229,  0.33676843,  0.35926429,  0.32867293,
              0.33269528,  0.3393802 ,  0.221779  ,  0.3433116 ,  0.32562556,
              0.33719366,  0.21623389,  0.2116916 ,  0.21694359,  0.21703862,
              0.33737849,  0.2233676 ,  0.33372784,  0.3369747 ,  0.21093166,
              0.33506886,  0.34486325,  0.33405908,  0.35212233,  0.2195831 ]), 'param_clf__C': masked_array(data = [13.221745075345472, 0.033190562125262835, 4.9985773721097333,
       40.25089112070669, 343.10731665899527, 3804.1285425791248, 796.86427800816023,
       6.6737756126089094, 0.0095672754258426945, 37.275938077840259,
       0.016658120527993026, 101.22228614580663, 0.00015490932921476101,
       30.439848423187083, 0.064789753110017292, 1720.8316776478325,
       0.0013014315270923542, 0.0067398558478787068, 0.18186441617957458,
       60.719323836746447, 90.911687436938237, 0.00064247441804760877,
       0.018905722145251321, 0.0013591853347965932, 625.25708152204095,
       0.00031261212172826883, 40.387011485807058, 966.74972353930968,
       2898.938498861784, 45.502349376393326],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__dual': masked_array(data = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__multi_class': masked_array(data = ['multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial',
       'multinomial', 'multinomial', 'multinomial', 'multinomial', 'multinomial'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__solver': masked_array(data = ['newton-cg', 'sag', 'newton-cg', 'sag', 'sag', 'lbfgs', 'newton-cg', 'lbfgs',
       'newton-cg', 'newton-cg', 'newton-cg', 'lbfgs', 'sag', 'lbfgs', 'lbfgs',
       'newton-cg', 'sag', 'sag', 'sag', 'sag', 'newton-cg', 'sag', 'newton-cg',
       'newton-cg', 'sag', 'lbfgs', 'newton-cg', 'lbfgs', 'newton-cg', 'sag'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__C': 13.221745075345472, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.033190562125262835, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 4.9985773721097333, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 40.25089112070669, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 343.10731665899527, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 3804.1285425791248, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 796.86427800816023, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 6.6737756126089094, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 0.0095672754258426945, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 37.275938077840259, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.016658120527993026, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 101.22228614580663, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 0.00015490932921476101, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 30.439848423187083, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 0.064789753110017292, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 1720.8316776478325, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.0013014315270923542, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.0067398558478787068, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.18186441617957458, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 60.719323836746447, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 90.911687436938237, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.00064247441804760877, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.018905722145251321, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 0.0013591853347965932, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 625.25708152204095, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}, {'clf__C': 0.00031261212172826883, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 40.387011485807058, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 966.74972353930968, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'lbfgs'}, {'clf__C': 2898.938498861784, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'newton-cg'}, {'clf__C': 45.502349376393326, 'clf__class_weight': 'balanced', 'clf__dual': False, 'clf__multi_class': 'multinomial', 'clf__solver': 'sag'}]}
      random_dual_logistic_regression = {'split0_test_score': array([[ 0.        ,  0.24824206],
             [ 0.        ,  0.24976746],
             [ 0.06688155,  0.29891073],
             [ 0.00725222,  0.18079472],
             [ 0.00282031,  0.17155436],
             [ 0.06526994,  0.29214367],
             [ 0.08702659,  0.30843948],
             [ 0.        ,  0.24846157],
             [ 0.00241741,  0.18779659],
             [ 0.        ,  0.2450461 ]]), 'split1_test_score': array([[ 0.18614021,  0.31389497],
             [ 0.18614021,  0.31504653],
             [ 0.07574537,  0.24348919],
             [ 0.01329573,  0.1277422 ],
             [ 0.00282031,  0.11127874],
             [ 0.07171636,  0.23718328],
             [ 0.10757454,  0.27516897],
             [ 0.18614021,  0.31473849],
             [ 0.03102337,  0.15748896],
             [ 0.18493151,  0.3110261 ]]), 'split2_test_score': array([[ 0.21474617,  0.36027364],
             [ 0.21474617,  0.3626085 ],
             [ 0.11281225,  0.30870897],
             [ 0.00966962,  0.13196326],
             [ 0.0020145 ,  0.11769711],
             [ 0.10233683,  0.29744295],
             [ 0.15995165,  0.35213895],
             [ 0.21474617,  0.36273731],
             [ 0.03666398,  0.17471263],
             [ 0.21313457,  0.34079467]]), 'split3_test_score': array([[ 0.17566479,  0.43210236],
             [ 0.17566479,  0.42915943],
             [ 0.08622079,  0.35250387],
             [ 0.02175665,  0.24684616],
             [ 0.00483481,  0.21807414],
             [ 0.08178888,  0.34718078],
             [ 0.12369057,  0.39531036],
             [ 0.17566479,  0.43245299],
             [ 0.03908139,  0.26569623],
             [ 0.17445608,  0.42081838]]), 'split4_test_score': array([[ 0.18936342,  0.34718089],
             [ 0.18936342,  0.34890972],
             [ 0.12892828,  0.31310776],
             [ 0.02296535,  0.16886832],
             [ 0.00322321,  0.12839399],
             [ 0.12449637,  0.30668627],
             [ 0.15471394,  0.35555289],
             [ 0.18936342,  0.34913566],
             [ 0.01007252,  0.15369812],
             [ 0.18855761,  0.33584266]]), 'split5_test_score': array([[ 0.10394843,  0.19816048],
             [ 0.10394843,  0.20578989],
             [ 0.12207897,  0.27064004],
             [ 0.03142627,  0.12210666],
             [ 0.00443191,  0.07664508],
             [ 0.11442385,  0.26360949],
             [ 0.16680097,  0.30034311],
             [ 0.10394843,  0.20097774],
             [ 0.01007252,  0.09223738],
             [ 0.10354553,  0.18921038]]), 'split6_test_score': array([[ 0.05519742,  0.20634704],
             [ 0.05519742,  0.21985065],
             [ 0.11764706,  0.3263224 ],
             [ 0.01732474,  0.16051054],
             [ 0.0016116 ,  0.12973018],
             [ 0.10958904,  0.31965467],
             [ 0.12248187,  0.32777591],
             [ 0.05519742,  0.21305133],
             [ 0.00241741,  0.1347545 ],
             [ 0.05398872,  0.1928962 ]]), 'split7_test_score': array([[ 0.10596293,  0.20074579],
             [ 0.10596293,  0.21164743],
             [ 0.11845286,  0.2536072 ],
             [ 0.02014504,  0.10197233],
             [ 0.0020145 ,  0.06925356],
             [ 0.11563255,  0.24934258],
             [ 0.12691378,  0.27045844],
             [ 0.10596293,  0.20697733],
             [ 0.00322321,  0.07561668],
             [ 0.10354553,  0.18016768]]), 'split8_test_score': array([[ 0.10878324,  0.21162003],
             [ 0.10878324,  0.225349  ],
             [ 0.12046737,  0.27240587],
             [ 0.01531023,  0.10325324],
             [ 0.00564061,  0.07870394],
             [ 0.11281225,  0.26280786],
             [ 0.13900081,  0.29403783],
             [ 0.10878324,  0.21987137],
             [ 0.00362611,  0.0835479 ],
             [ 0.11039484,  0.19176922]]), 'split9_test_score': array([[ 0.12369057,  0.2249618 ],
             [ 0.12369057,  0.24359783],
             [ 0.11240935,  0.25497277],
             [ 0.01893634,  0.10043642],
             [ 0.00846092,  0.07979698],
             [ 0.10556003,  0.2482979 ],
             [ 0.13174859,  0.28415577],
             [ 0.12369057,  0.2333934 ],
             [ 0.01047542,  0.08601571],
             [ 0.12369057,  0.20680967]]), 'mean_test_score': array([[ 0.12634972,  0.27435291],
             [ 0.12634972,  0.28117264],
             [ 0.10616438,  0.28946688],
             [ 0.01780822,  0.14444938],
             [ 0.00378727,  0.11811281],
             [ 0.10036261,  0.28243494],
             [ 0.13199033,  0.31633817],
             [ 0.12634972,  0.27817972],
             [ 0.01490733,  0.14115647],
             [ 0.1256245 ,  0.26143811]]), 'std_test_score': array([[ 0.06328628,  0.07876517],
             [ 0.06328628,  0.07352467],
             [ 0.02051414,  0.03403757],
             [ 0.00662475,  0.04362697],
             [ 0.00199995,  0.0450153 ],
             [ 0.01918709,  0.03395988],
             [ 0.02315625,  0.03852014],
             [ 0.06328628,  0.0767346 ],
             [ 0.0139987 ,  0.05685445],
             [ 0.0629637 ,  0.08020036]]), 'rank_test_score': array([ 2,  2,  6,  8, 10,  7,  1,  2,  9,  5], dtype=int32), 'split0_train_score': array([[ 0.16458753,  0.32523182],
             [ 0.16458753,  0.31074264],
             [ 0.73078471,  0.81121293],
             [ 0.19597586,  0.25781446],
             [ 0.17142857,  0.25794664],
             [ 0.68651911,  0.7760425 ],
             [ 0.99476861,  0.99652539],
             [ 0.16458753,  0.32094761],
             [ 0.21971831,  0.33631044],
             [ 0.16861167,  0.34404732]]), 'split1_train_score': array([[ 0.11274411,  0.26770863],
             [ 0.11254278,  0.24976277],
             [ 0.69740286,  0.77262975],
             [ 0.15764043,  0.22236284],
             [ 0.08838333,  0.12766383],
             [ 0.65894906,  0.73868946],
             [ 0.99033622,  0.99401653],
             [ 0.11254278,  0.26204529],
             [ 0.10791222,  0.17106972],
             [ 0.13770888,  0.28834739]]), 'split2_train_score': array([[ 0.13706538,  0.27219772],
             [ 0.13706538,  0.25206659],
             [ 0.66626393,  0.74636576],
             [ 0.14834206,  0.20232247],
             [ 0.07638609,  0.10607872],
             [ 0.63028594,  0.71476372],
             [ 0.97516445,  0.98360667],
             [ 0.13706538,  0.26771868],
             [ 0.09840247,  0.14324871],
             [ 0.15532286,  0.27417203]]), 'split3_train_score': array([[ 0.15647971,  0.2873743 ],
             [ 0.15647971,  0.26617599],
             [ 0.64132514,  0.72218279],
             [ 0.1430873 ,  0.19217943],
             [ 0.07119122,  0.10159933],
             [ 0.60104723,  0.6883316 ],
             [ 0.96163528,  0.97375988],
             [ 0.15647971,  0.28276145],
             [ 0.10774343,  0.15132238],
             [ 0.1720874 ,  0.27953952]]), 'split4_train_score': array([[ 0.1603158 ,  0.27812474],
             [ 0.1603158 ,  0.26211185],
             [ 0.62877628,  0.70953975],
             [ 0.151293  ,  0.19695392],
             [ 0.06815435,  0.0954468 ],
             [ 0.59373238,  0.67780363],
             [ 0.94932732,  0.96508731],
             [ 0.1603158 ,  0.27622275],
             [ 0.09304761,  0.13763987],
             [ 0.17554177,  0.26740777]]), 'split5_train_score': array([[ 0.16515609,  0.27530713],
             [ 0.16515609,  0.26031527],
             [ 0.62403491,  0.70263147],
             [ 0.14817053,  0.19543472],
             [ 0.06438402,  0.08931672],
             [ 0.58885532,  0.67114313],
             [ 0.93937563,  0.95803508],
             [ 0.16515609,  0.2761306 ],
             [ 0.07794562,  0.12153736],
             [ 0.18059752,  0.25875584]]), 'split6_train_score': array([[ 0.15641365,  0.2582469 ],
             [ 0.15641365,  0.24553623],
             [ 0.63020084,  0.70745894],
             [ 0.14185418,  0.18627617],
             [ 0.06128791,  0.08295398],
             [ 0.59296772,  0.67534544],
             [ 0.93802152,  0.95674319],
             [ 0.15641365,  0.26262627],
             [ 0.06514358,  0.10071183],
             [ 0.1736203 ,  0.23781594]]), 'split7_train_score': array([[ 0.14416637,  0.24239676],
             [ 0.14376353,  0.22981879],
             [ 0.61800695,  0.69775249],
             [ 0.13691525,  0.17646389],
             [ 0.06193665,  0.08099741],
             [ 0.58114709,  0.66485592],
             [ 0.93539453,  0.95461125],
             [ 0.14376353,  0.24793258],
             [ 0.06153381,  0.08980259],
             [ 0.16516441,  0.22088753]]), 'split8_train_score': array([[ 0.14063829,  0.23172045],
             [ 0.13956403,  0.22258166],
             [ 0.61120809,  0.69128389],
             [ 0.13329752,  0.17091151],
             [ 0.06185936,  0.07853882],
             [ 0.57338526,  0.65809513],
             [ 0.93120272,  0.95118879],
             [ 0.13956403,  0.23892628],
             [ 0.05899467,  0.08248899],
             [ 0.16436149,  0.2107791 ]]), 'split9_train_score': array([[ 0.13813802,  0.22394611],
             [ 0.13648632,  0.21941857],
             [ 0.60250574,  0.6838838 ],
             [ 0.13237723,  0.16799354],
             [ 0.05925956,  0.07546152],
             [ 0.56467792,  0.64974628],
             [ 0.92631833,  0.94775065],
             [ 0.13648632,  0.23218869],
             [ 0.05825243,  0.07859828],
             [ 0.16097974,  0.20223284]]), 'mean_train_score': array([[ 0.14757049,  0.26622546],
             [ 0.14723748,  0.25185303],
             [ 0.64505095,  0.72449416],
             [ 0.14889534,  0.19687129],
             [ 0.07842711,  0.10960038],
             [ 0.6071567 ,  0.69148168],
             [ 0.95415446,  0.96813247],
             [ 0.14723748,  0.26675002],
             [ 0.09486942,  0.14127302],
             [ 0.1653996 ,  0.25839853]]), 'std_train_score': array([[ 0.01546189,  0.02792949],
             [ 0.01567321,  0.02507712],
             [ 0.03894708,  0.03844469],
             [ 0.01744307,  0.0254052 ],
             [ 0.03211734,  0.05165222],
             [ 0.03727072,  0.03789148],
             [ 0.02368874,  0.01695151],
             [ 0.01567321,  0.02394638],
             [ 0.04565962,  0.07149345],
             [ 0.01159935,  0.04032692]]), 'mean_fit_time': array([ 107.81420109,  102.38102748,  386.40593014,  147.49286423,
               96.85393131,  368.53283994,  481.03575344,  110.7670959 ,
              103.0650466 ,   98.06224954]), 'std_fit_time': array([  87.42677035,   87.42924413,  314.85686509,  123.08523784,
               78.72802403,  297.9936709 ,  373.44752387,   90.94881466,
               84.96563579,   77.95594447]), 'mean_score_time': array([ 1.13123748,  1.12541757,  1.11925447,  1.12492185,  1.11845436,
              1.10968411,  1.11570754,  1.12447174,  1.14505877,  1.11272564]), 'std_score_time': array([ 0.23807719,  0.22348747,  0.23292918,  0.22983241,  0.2205976 ,
              0.21726881,  0.22056421,  0.2407138 ,  0.23953992,  0.21695785]), 'param_clf__C': masked_array(data = [0.0056027895724397817, 0.00061412913340339764, 57.382534217317179,
       1.2532986612479498, 0.10530703220389778, 43.878618894163701,
       2549.526222009838, 0.0039842977221390893, 0.058051230231775816,
       0.012620469022505505],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__dual': masked_array(data = [True, True, True, True, True, True, True, True, True, True],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__multi_class': masked_array(data = ['ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr', 'ovr'],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__solver': masked_array(data = ['liblinear', 'liblinear', 'liblinear', 'liblinear', 'liblinear', 'liblinear',
       'liblinear', 'liblinear', 'liblinear', 'liblinear'],
                   mask = [False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__C': 0.0056027895724397817, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.00061412913340339764, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 57.382534217317179, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 1.2532986612479498, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.10530703220389778, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 43.878618894163701, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 2549.526222009838, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.0039842977221390893, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.058051230231775816, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}, {'clf__C': 0.012620469022505505, 'clf__class_weight': 'balanced', 'clf__dual': True, 'clf__multi_class': 'ovr', 'clf__solver': 'liblinear'}]}
      random_perceptron_with_penalty = {'split0_test_score': array([[ 0.04029009,  0.23656694],
             [ 0.02900886,  0.24453954],
             [ 0.01933924,  0.24743363],
             [ 0.0455278 ,  0.27313409],
             [ 0.0471394 ,  0.27596894],
             [ 0.02417405,  0.25099872],
             [ 0.07131346,  0.30022704],
             [ 0.00886382,  0.16537461],
             [ 0.01692184,  0.20014561],
             [ 0.01893634,  0.22443509],
             [ 0.00322321,  0.20275342],
             [ 0.03948429,  0.25460075]]), 'split1_test_score': array([[ 0.01369863,  0.15897969],
             [ 0.02256245,  0.17887231],
             [ 0.0008058 ,  0.13427346],
             [ 0.02336825,  0.1638354 ],
             [ 0.01531023,  0.16249967],
             [ 0.0012087 ,  0.13523857],
             [ 0.01772764,  0.16568965],
             [ 0.0004029 ,  0.08960992],
             [ 0.00443191,  0.13840786],
             [ 0.00322321,  0.15366539],
             [ 0.0016116 ,  0.13345024],
             [ 0.02578566,  0.17405293]]), 'split2_test_score': array([[ 0.0020145 ,  0.18304075],
             [ 0.03666398,  0.20979269],
             [ 0.0012087 ,  0.14532781],
             [ 0.10273973,  0.29317602],
             [ 0.03464948,  0.20629415],
             [ 0.0012087 ,  0.1713475 ],
             [ 0.06889605,  0.23285711],
             [ 0.        ,  0.15088595],
             [ 0.0020145 ,  0.16102315],
             [ 0.0012087 ,  0.13829881],
             [ 0.00282031,  0.17139915],
             [ 0.02900886,  0.18836988]]), 'split3_test_score': array([[ 0.03706688,  0.27334278],
             [ 0.02377115,  0.26800598],
             [ 0.03666398,  0.29164333],
             [ 0.08299758,  0.34056534],
             [ 0.01772764,  0.24995792],
             [ 0.01410153,  0.23783365],
             [ 0.02618856,  0.26573271],
             [ 0.01692184,  0.21252043],
             [ 0.00926672,  0.23758904],
             [ 0.02659146,  0.29023771],
             [ 0.07373086,  0.32176339],
             [ 0.01933924,  0.25094105]]), 'split4_test_score': array([[ 0.00926672,  0.15525195],
             [ 0.02215955,  0.19141678],
             [ 0.00523771,  0.15186303],
             [ 0.07574537,  0.24670468],
             [ 0.02377115,  0.18278947],
             [ 0.00604351,  0.15622024],
             [ 0.01087832,  0.16630139],
             [ 0.        ,  0.11237721],
             [ 0.01692184,  0.18869726],
             [ 0.00604351,  0.17065017],
             [ 0.00402901,  0.14754023],
             [ 0.03384367,  0.1994914 ]]), 'split5_test_score': array([[ 0.00241741,  0.0995886 ],
             [ 0.00523771,  0.11024613],
             [ 0.        ,  0.09323827],
             [ 0.06526994,  0.18972776],
             [ 0.01410153,  0.12211269],
             [ 0.0004029 ,  0.10864781],
             [ 0.0020145 ,  0.11246875],
             [ 0.        ,  0.06119562],
             [ 0.0008058 ,  0.09658521],
             [ 0.        ,  0.11105935],
             [ 0.        ,  0.09936557],
             [ 0.00644641,  0.11272701]]), 'split6_test_score': array([[ 0.01410153,  0.18467538],
             [ 0.03263497,  0.2132393 ],
             [ 0.00886382,  0.17769565],
             [ 0.06486704,  0.24675973],
             [ 0.00966962,  0.18046855],
             [ 0.01450443,  0.18004085],
             [ 0.01651894,  0.19346639],
             [ 0.0016116 ,  0.12270412],
             [ 0.01410153,  0.17364727],
             [ 0.00604351,  0.16773741],
             [ 0.01450443,  0.19791197],
             [ 0.01813054,  0.19043878]]), 'split7_test_score': array([[ 0.00322321,  0.10371042],
             [ 0.00523771,  0.11884827],
             [ 0.00402901,  0.09878829],
             [ 0.05197421,  0.17098509],
             [ 0.00443191,  0.10712626],
             [ 0.00241741,  0.09480011],
             [ 0.00483481,  0.10581672],
             [ 0.00604351,  0.07049802],
             [ 0.00322321,  0.09970789],
             [ 0.00362611,  0.10111247],
             [ 0.00483481,  0.11110393],
             [ 0.01490733,  0.12427962]]), 'split8_test_score': array([[ 0.00322321,  0.11896494],
             [ 0.00725222,  0.12949953],
             [ 0.0020145 ,  0.11414913],
             [ 0.03585818,  0.15939215],
             [ 0.01571313,  0.1329824 ],
             [ 0.00523771,  0.11974393],
             [ 0.00241741,  0.12612578],
             [ 0.0004029 ,  0.06788918],
             [ 0.00322321,  0.11741502],
             [ 0.00362611,  0.11901895],
             [ 0.00282031,  0.1156413 ],
             [ 0.00443191,  0.11750915]]), 'split9_test_score': array([[ 0.00322321,  0.11267539],
             [ 0.00483481,  0.10757894],
             [ 0.00241741,  0.1024467 ],
             [ 0.0443191 ,  0.16169078],
             [ 0.00926672,  0.12230673],
             [ 0.01047542,  0.12925359],
             [ 0.01007252,  0.11970681],
             [ 0.02618856,  0.11653302],
             [ 0.00604351,  0.11770853],
             [ 0.00483481,  0.11063269],
             [ 0.0008058 ,  0.10748658],
             [ 0.00926672,  0.11716898]]), 'mean_test_score': array([[ 0.01285254,  0.16267968],
             [ 0.01893634,  0.17720395],
             [ 0.00805802,  0.15568593],
             [ 0.05926672,  0.2245971 ],
             [ 0.01917808,  0.17425068],
             [ 0.00797744,  0.1584125 ],
             [ 0.02308622,  0.17883923],
             [ 0.00604351,  0.11695881],
             [ 0.00769541,  0.15309268],
             [ 0.00741338,  0.1586848 ],
             [ 0.01083803,  0.16084158],
             [ 0.02006446,  0.17295796]]), 'std_test_score': array([[ 0.01363384,  0.05526496],
             [ 0.01166605,  0.05509677],
             [ 0.01096897,  0.06297909],
             [ 0.02256997,  0.06121965],
             [ 0.01226064,  0.05383301],
             [ 0.00734739,  0.04992537],
             [ 0.0245532 ,  0.06462209],
             [ 0.00851447,  0.04594047],
             [ 0.00588966,  0.04459853],
             [ 0.00806647,  0.05635629],
             [ 0.02130995,  0.06419367],
             [ 0.01121165,  0.05116597]]), 'rank_test_score': array([ 6,  5,  8,  1,  4,  9,  2, 12, 10, 11,  7,  3], dtype=int32), 'split0_train_score': array([[ 0.36257545,  0.47801984],
             [ 0.45633803,  0.58036041],
             [ 0.08088531,  0.21411217],
             [ 0.47444668,  0.58770316],
             [ 0.43259557,  0.55287604],
             [ 0.14929577,  0.2745148 ],
             [ 0.38993964,  0.50077929],
             [ 0.02937626,  0.04567766],
             [ 0.15653924,  0.25293835],
             [ 0.18229376,  0.29482357],
             [ 0.07645875,  0.15917634],
             [ 0.44185111,  0.550105  ]]), 'split1_train_score': array([[ 0.16227099,  0.3074532 ],
             [ 0.26837125,  0.41698082],
             [ 0.02134085,  0.10464778],
             [ 0.42258909,  0.5339614 ],
             [ 0.24541977,  0.38064021],
             [ 0.0336219 ,  0.14210361],
             [ 0.21864304,  0.35959229],
             [ 0.0028186 ,  0.01206677],
             [ 0.04147373,  0.17148565],
             [ 0.0384538 ,  0.17004537],
             [ 0.02456211,  0.14506767],
             [ 0.32715925,  0.43524588]]), 'split2_train_score': array([[ 0.03570949,  0.20507889],
             [ 0.3204457 ,  0.43029246],
             [ 0.01610954,  0.11447752],
             [ 0.42931937,  0.54370917],
             [ 0.27654719,  0.39478932],
             [ 0.02241912,  0.11678312],
             [ 0.21640489,  0.33899093],
             [ 0.00080548,  0.04333363],
             [ 0.03275607,  0.14774173],
             [ 0.02604376,  0.12340028],
             [ 0.01167942,  0.08155648],
             [ 0.29279098,  0.39826153]]), 'split3_train_score': array([[ 0.17188601,  0.26937326],
             [ 0.23542443,  0.34069786],
             [ 0.08085792,  0.17555668],
             [ 0.42130702,  0.52798344],
             [ 0.20159098,  0.29621054],
             [ 0.06051757,  0.133978  ],
             [ 0.1856812 ,  0.29848155],
             [ 0.02839593,  0.03286496],
             [ 0.08569127,  0.15889302],
             [ 0.09052462,  0.1970054 ],
             [ 0.10291008,  0.19398145],
             [ 0.26653912,  0.35163658]]), 'split4_train_score': array([[ 0.09884798,  0.20011754],
             [ 0.13711432,  0.27930107],
             [ 0.01965681,  0.08233558],
             [ 0.41408201,  0.52298542],
             [ 0.10883751,  0.2317769 ],
             [ 0.0297269 ,  0.1084421 ],
             [ 0.08289696,  0.19838739],
             [ 0.00193346,  0.00493248],
             [ 0.05171997,  0.15245349],
             [ 0.03746073,  0.12229236],
             [ 0.0180456 ,  0.06548477],
             [ 0.25433014,  0.35744483]]), 'split5_train_score': array([[  1.69184290e-02,   1.26796648e-01],
             [  2.80631084e-02,   1.85479053e-01],
             [  3.49110440e-03,   7.46672483e-02],
             [  3.89728097e-01,   4.96475534e-01],
             [  1.10574018e-01,   2.14292148e-01],
             [  6.44511581e-03,   8.25352155e-02],
             [  1.80597516e-02,   1.54028350e-01],
             [  2.01409869e-04,   4.52943687e-03],
             [  1.05404498e-02,   8.95551452e-02],
             [  8.66062437e-03,   9.73319147e-02],
             [  2.95401141e-03,   7.52390833e-02],
             [  3.39039946e-02,   1.96400190e-01]]), 'split6_train_score': array([[ 0.08862289,  0.17602901],
             [ 0.13149566,  0.23576114],
             [ 0.02779536,  0.08315408],
             [ 0.37371238,  0.45748255],
             [ 0.1013984 ,  0.20336841],
             [ 0.03355009,  0.09318656],
             [ 0.11031824,  0.20249065],
             [ 0.00086321,  0.00321565],
             [ 0.05023882,  0.11444841],
             [ 0.0367152 ,  0.09442416],
             [ 0.02681706,  0.10448949],
             [ 0.16913161,  0.27599177]]), 'split7_train_score': array([[ 0.04310388,  0.12739567],
             [ 0.05428269,  0.17190508],
             [ 0.01188378,  0.07141658],
             [ 0.36054182,  0.45302481],
             [ 0.04899542,  0.1544338 ],
             [ 0.01435118,  0.07480456],
             [ 0.04884435,  0.14230046],
             [ 0.01404905,  0.03396136],
             [ 0.02492573,  0.08989849],
             [ 0.0191349 ,  0.0738492 ],
             [ 0.01022207,  0.07623483],
             [ 0.12392366,  0.24421773]]), 'split8_train_score': array([[  3.54952777e-02,   1.24703102e-01],
             [  5.46081196e-02,   1.85502186e-01],
             [  6.93791683e-03,   6.11551107e-02],
             [  3.26887785e-01,   4.19945954e-01],
             [  1.20361667e-01,   2.06759366e-01],
             [  9.98164809e-03,   7.16655564e-02],
             [  3.85837698e-02,   1.56304027e-01],
             [  3.58086030e-04,   2.95953700e-03],
             [  1.77700192e-02,   9.47157901e-02],
             [  1.21749250e-02,   6.76488568e-02],
             [  5.59509422e-03,   7.29840318e-02],
             [  5.55033347e-02,   1.81759016e-01]]), 'split9_train_score': array([[ 0.06812231,  0.1503937 ],
             [ 0.11046207,  0.19605873],
             [ 0.01712122,  0.06861761],
             [ 0.3450429 ,  0.44691544],
             [ 0.09362285,  0.18470349],
             [ 0.02626596,  0.10115661],
             [ 0.07464851,  0.15103344],
             [ 0.05208879,  0.07653484],
             [ 0.0313419 ,  0.09383231],
             [ 0.02396971,  0.08007834],
             [ 0.00793619,  0.06437995],
             [ 0.11630343,  0.21236201]]), 'mean_train_score': array([[ 0.10835527,  0.21653608],
             [ 0.17966054,  0.30223388],
             [ 0.02860798,  0.10501404],
             [ 0.39576572,  0.49901869],
             [ 0.17399434,  0.28198502],
             [ 0.03861753,  0.11991701],
             [ 0.13840204,  0.25023884],
             [ 0.01308903,  0.02600763],
             [ 0.05029972,  0.13659624],
             [ 0.0475432 ,  0.13208995],
             [ 0.02871804,  0.10385941],
             [ 0.20814366,  0.32034245]]), 'std_train_score': array([[ 0.09842451,  0.10501447],
             [ 0.13061702,  0.12994652],
             [ 0.02695343,  0.04822712],
             [ 0.04254924,  0.05030997],
             [ 0.1103419 ,  0.11862446],
             [ 0.03964574,  0.05617752],
             [ 0.1088256 ,  0.11378667],
             [ 0.01697036,  0.02345399],
             [ 0.04070542,  0.04908398],
             [ 0.04989426,  0.06721982],
             [ 0.03190796,  0.04352546],
             [ 0.12336952,  0.113318  ]]), 'mean_fit_time': array([ 14.57144287,  35.18410428,  34.85782292,  14.63040857,
              35.14064462,  34.85699546,  35.19685643,  42.55747032,
              34.9247833 ,  34.5135725 ,  34.12248647,  14.30102773]), 'std_fit_time': array([ 12.71888546,  27.51208547,  27.28218842,  12.79945902,
              27.22175159,  27.19211026,  27.48876456,  33.28580311,
              27.39473233,  26.7437473 ,  25.41250823,  12.46651311]), 'mean_score_time': array([ 1.03844295,  1.03172081,  1.02630365,  1.02414837,  1.04613271,
              1.04265518,  1.03458209,  1.07929804,  1.03458464,  1.02078974,
              1.0890734 ,  1.03953166]), 'std_score_time': array([ 0.21613413,  0.22904551,  0.23256799,  0.23141064,  0.24240512,
              0.22389444,  0.22237008,  0.24898514,  0.24100629,  0.22980751,
              0.2425314 ,  0.22411012]), 'param_clf__alpha': masked_array(data = [8.5275992557931339e-05, 3.8576890633517957e-05, 0.0013121473873664417,
       2.1642212840584674e-06, 5.6057321894232781e-05, 0.0006721304294962521,
       7.9519130448371203e-05, 0.071056502827678419, 0.00030801494293482469,
       0.00047048948007103098, 0.0021493491610198208, 3.20286779253588e-05],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__penalty': masked_array(data = ['l2', 'elasticnet', 'elasticnet', 'l2', 'elasticnet', 'elasticnet', 'elasticnet',
       'elasticnet', 'elasticnet', 'elasticnet', 'elasticnet', 'l2'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__alpha': 8.5275992557931339e-05, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 3.8576890633517957e-05, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0013121473873664417, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 2.1642212840584674e-06, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}, {'clf__alpha': 5.6057321894232781e-05, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0006721304294962521, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 7.9519130448371203e-05, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.071056502827678419, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00030801494293482469, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00047048948007103098, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0021493491610198208, 'clf__class_weight': 'balanced', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 3.20286779253588e-05, 'clf__class_weight': 'balanced', 'clf__penalty': 'l2'}]}
      random_perceptron_without_penalty = {'split0_test_score': array([[ 0.03464948,  0.25424925]]), 'split1_test_score': array([[ 0.03223207,  0.1896234 ]]), 'split2_test_score': array([[ 0.03988719,  0.20777442]]), 'split3_test_score': array([[ 0.03545528,  0.28705741]]), 'split4_test_score': array([[ 0.04834811,  0.21796186]]), 'split5_test_score': array([[ 0.07453666,  0.1935753 ]]), 'split6_test_score': array([[ 0.05076551,  0.23170203]]), 'split7_test_score': array([[ 0.05116841,  0.16870597]]), 'split8_test_score': array([[ 0.03505238,  0.16327367]]), 'split9_test_score': array([[ 0.05197421,  0.17041489]]), 'mean_test_score': array([[ 0.04540693,  0.20843382]]), 'std_test_score': array([[ 0.01219938,  0.03814595]]), 'rank_test_score': array([1], dtype=int32), 'split0_train_score': array([[ 0.45392354,  0.57005241]]), 'split1_train_score': array([[ 0.43446749,  0.55422365]]), 'split2_train_score': array([[ 0.38730031,  0.48798047]]), 'split3_train_score': array([[ 0.40026181,  0.50389223]]), 'split4_train_score': array([[ 0.40707323,  0.50096516]]), 'split5_train_score': array([[ 0.39657603,  0.493529  ]]), 'split6_train_score': array([[ 0.38763883,  0.4888606 ]]), 'split7_train_score': array([[ 0.3779143 ,  0.47980169]]), 'split8_train_score': array([[ 0.37415514,  0.47395313]]), 'split9_train_score': array([[ 0.3556782 ,  0.44356253]]), 'mean_train_score': array([[ 0.39749889,  0.49968209]]), 'std_train_score': array([[ 0.0274395 ,  0.03527696]]), 'mean_fit_time': array([ 14.22951849]), 'std_fit_time': array([ 10.76170145]), 'mean_score_time': array([ 1.04727826]), 'std_score_time': array([ 0.21595495]), 'param_clf__penalty': masked_array(data = [None],
                   mask = [False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced'],
                   mask = [False],
             fill_value = nan)
      , 'params': [{'clf__penalty': None, 'clf__class_weight': 'balanced'}]}
      random_sgd_classifier = {'split0_test_score': array([[ 0.01248993,  0.1992679 ],
             [ 0.0471394 ,  0.21543352],
             [ 0.02175665,  0.18290877],
             [ 0.        ,  0.15438106],
             [ 0.05801773,  0.26304812],
             [ 0.05237712,  0.15422735],
             [ 0.00282031,  0.16685757],
             [ 0.08742949,  0.32122273],
             [ 0.00443191,  0.17445408],
             [ 0.0020145 ,  0.16598558],
             [ 0.03303787,  0.25047296],
             [ 0.02417405,  0.22948128],
             [ 0.00282031,  0.16625087],
             [ 0.05439162,  0.27729115],
             [ 0.05560032,  0.2867214 ],
             [ 0.04270749,  0.17952042],
             [ 0.01369863,  0.17048811],
             [ 0.05962933,  0.16770721],
             [ 0.05197421,  0.1578002 ],
             [ 0.00402901,  0.17572682],
             [ 0.02739726,  0.21600179],
             [ 0.        ,  0.20482643],
             [ 0.03062047,  0.20592437],
             [ 0.0012087 ,  0.16816245],
             [ 0.        ,  0.24904326],
             [ 0.01853344,  0.18008448],
             [ 0.0463336 ,  0.29256343],
             [ 0.00725222,  0.17289943],
             [ 0.00282031,  0.23059959],
             [ 0.05721193,  0.28760394],
             [ 0.0012087 ,  0.15503736],
             [ 0.03263497,  0.24064546],
             [ 0.07050766,  0.29937845],
             [ 0.0020145 ,  0.1587838 ],
             [ 0.04190169,  0.25651463],
             [ 0.        ,  0.24324911],
             [ 0.00282031,  0.16122227],
             [ 0.06285254,  0.28934134],
             [ 0.05358582,  0.29741604],
             [ 0.00604351,  0.17265911],
             [ 0.03706688,  0.26700343],
             [ 0.00564061,  0.16674837],
             [ 0.0020145 ,  0.16340116],
             [ 0.0471394 ,  0.28598389],
             [ 0.01087832,  0.19234831],
             [ 0.00241741,  0.16662617],
             [ 0.03908139,  0.28175634],
             [ 0.08178888,  0.21463703],
             [ 0.00886382,  0.19543414],
             [ 0.02820306,  0.26222159],
             [ 0.03182917,  0.26738756],
             [ 0.03666398,  0.16030898],
             [ 0.04794521,  0.27682649],
             [ 0.00402901,  0.15950669],
             [ 0.00443191,  0.1739942 ],
             [ 0.05116841,  0.28083549],
             [ 0.00241741,  0.16124219],
             [ 0.00322321,  0.15812657],
             [ 0.        ,  0.15906614],
             [ 0.04230459,  0.27598465],
             [ 0.00362611,  0.1742593 ],
             [ 0.03505238,  0.25737073],
             [ 0.03182917,  0.27020426],
             [ 0.01329573,  0.2125176 ],
             [ 0.00443191,  0.17216957],
             [ 0.00564061,  0.19753655],
             [ 0.01128122,  0.21490687],
             [ 0.0475423 ,  0.27969485],
             [ 0.00483481,  0.22816263],
             [ 0.01571313,  0.19080399],
             [ 0.01410153,  0.22261078],
             [ 0.00725222,  0.17036434],
             [ 0.04230459,  0.26855912],
             [ 0.00282031,  0.1695005 ],
             [ 0.04995971,  0.27396649],
             [ 0.0020145 ,  0.1739938 ],
             [ 0.08823529,  0.31625054],
             [ 0.00282031,  0.1689165 ],
             [ 0.00402901,  0.17462688],
             [ 0.00362611,  0.15900731],
             [ 0.00322321,  0.15840043],
             [ 0.00966962,  0.22114373],
             [ 0.00322321,  0.15929654],
             [ 0.0467365 ,  0.28543572],
             [ 0.00483481,  0.15904319],
             [ 0.01450443,  0.2279077 ],
             [ 0.00483481,  0.17982515],
             [ 0.02900886,  0.20615395],
             [ 0.0020145 ,  0.1647643 ],
             [ 0.03263497,  0.2537551 ],
             [ 0.0463336 ,  0.15674446],
             [ 0.        ,  0.25320177],
             [ 0.00564061,  0.17823777],
             [ 0.05076551,  0.15557027],
             [ 0.06768735,  0.29612272],
             [ 0.01813054,  0.23583173],
             [ 0.02457695,  0.23722978],
             [ 0.00846092,  0.20294852],
             [ 0.00564061,  0.18063958],
             [ 0.03263497,  0.22644584],
             [ 0.01047542,  0.19064876],
             [ 0.02900886,  0.2354717 ],
             [ 0.01410153,  0.21110912],
             [ 0.02135375,  0.23203548],
             [ 0.03988719,  0.24419593],
             [ 0.03344077,  0.2603407 ],
             [ 0.04230459,  0.1605072 ],
             [ 0.01490733,  0.21840478],
             [ 0.00241741,  0.18447214],
             [ 0.044722  ,  0.16097419],
             [ 0.08702659,  0.32090419],
             [ 0.00523771,  0.17919753],
             [ 0.0012087 ,  0.16121835],
             [ 0.04069299,  0.26233022],
             [ 0.01289283,  0.20753084],
             [ 0.05398872,  0.2860592 ],
             [ 0.05439162,  0.27598913],
             [ 0.03948429,  0.26433745],
             [ 0.05318292,  0.28634967],
             [ 0.02175665,  0.18355283]]), 'split1_test_score': array([[ 0.00362611,  0.09994101],
             [ 0.1361805 ,  0.28584376],
             [ 0.05398872,  0.17110706],
             [ 0.0004029 ,  0.08985998],
             [ 0.01611604,  0.14171097],
             [ 0.06970185,  0.09054422],
             [ 0.0004029 ,  0.0964644 ],
             [ 0.05922643,  0.22638184],
             [ 0.00322321,  0.11403327],
             [ 0.00362611,  0.1051752 ],
             [ 0.03182917,  0.17933523],
             [ 0.03666398,  0.19489655],
             [ 0.0008058 ,  0.09764049],
             [ 0.02981467,  0.18647284],
             [ 0.07292506,  0.24550923],
             [ 0.08259468,  0.1354872 ],
             [ 0.02256245,  0.12564927],
             [ 0.09468171,  0.12063072],
             [ 0.09548751,  0.09733659],
             [ 0.0020145 ,  0.09450161],
             [ 0.07896857,  0.20268062],
             [ 0.        ,  0.10469836],
             [ 0.00926672,  0.11893393],
             [ 0.02820306,  0.1467486 ],
             [ 0.18614021,  0.30994222],
             [ 0.10394843,  0.26241528],
             [ 0.08058018,  0.23819273],
             [ 0.0012087 ,  0.09276563],
             [ 0.1821112 ,  0.31083565],
             [ 0.05519742,  0.21025017],
             [ 0.0004029 ,  0.0884461 ],
             [ 0.03142627,  0.18959937],
             [ 0.06728445,  0.23067377],
             [ 0.0016116 ,  0.09094299],
             [ 0.01329573,  0.13862828],
             [ 0.17002417,  0.29760604],
             [ 0.0016116 ,  0.09694523],
             [ 0.05318292,  0.22049427],
             [ 0.05479452,  0.2153044 ],
             [ 0.0012087 ,  0.09636303],
             [ 0.03827558,  0.19974707],
             [ 0.00282031,  0.10047032],
             [ 0.01087832,  0.11223831],
             [ 0.02135375,  0.17411409],
             [ 0.01571313,  0.1300645 ],
             [ 0.00322321,  0.10301444],
             [ 0.07695407,  0.2490792 ],
             [ 0.06929895,  0.15083589],
             [ 0.00564061,  0.12324102],
             [ 0.0467365 ,  0.21527873],
             [ 0.0914585 ,  0.25318103],
             [ 0.06365834,  0.10184858],
             [ 0.06325544,  0.23519381],
             [ 0.00282031,  0.09450069],
             [ 0.02256245,  0.21125074],
             [ 0.02377115,  0.17074151],
             [ 0.0016116 ,  0.09501698],
             [ 0.14020951,  0.24540938],
             [ 0.0012087 ,  0.09209577],
             [ 0.04069299,  0.20370486],
             [ 0.00322321,  0.10803278],
             [ 0.0463336 ,  0.20934115],
             [ 0.01128122,  0.13769459],
             [ 0.00725222,  0.11768968],
             [ 0.00926672,  0.10778293],
             [ 0.01772764,  0.14049387],
             [ 0.10676873,  0.25879932],
             [ 0.0435133 ,  0.20111815],
             [ 0.16559226,  0.29951392],
             [ 0.10999194,  0.23049948],
             [ 0.11160355,  0.26566113],
             [ 0.00805802,  0.10793963],
             [ 0.06083803,  0.22650048],
             [ 0.01248993,  0.13145709],
             [ 0.05318292,  0.21283782],
             [ 0.07695407,  0.1958356 ],
             [ 0.06043513,  0.24269318],
             [ 0.        ,  0.09539983],
             [ 0.00443191,  0.11645885],
             [ 0.00644641,  0.09767188],
             [ 0.00282031,  0.09333383],
             [ 0.01813054,  0.17045711],
             [ 0.00523771,  0.09646734],
             [ 0.02820306,  0.17975623],
             [ 0.0004029 ,  0.09496359],
             [ 0.17808219,  0.30305569],
             [ 0.00402901,  0.11153296],
             [ 0.02699436,  0.1868184 ],
             [ 0.0016116 ,  0.11170202],
             [ 0.11442385,  0.28285468],
             [ 0.09669621,  0.09902224],
             [ 0.17163578,  0.30376621],
             [ 0.0020145 ,  0.10765474],
             [ 0.08340048,  0.0907594 ],
             [ 0.04834811,  0.23121689],
             [ 0.01087832,  0.12711423],
             [ 0.03827558,  0.1846284 ],
             [ 0.02095085,  0.14358787],
             [ 0.00443191,  0.11225364],
             [ 0.15753425,  0.29650162],
             [ 0.00402901,  0.09698912],
             [ 0.0020145 ,  0.12204511],
             [ 0.00886382,  0.13237074],
             [ 0.01692184,  0.14948402],
             [ 0.00402901,  0.11470626],
             [ 0.0471394 ,  0.20570641],
             [ 0.03706688,  0.10646108],
             [ 0.01933924,  0.14141838],
             [ 0.11402095,  0.23975837],
             [ 0.06043513,  0.10189993],
             [ 0.08219178,  0.25558204],
             [ 0.00362611,  0.10836366],
             [ 0.0004029 ,  0.10217007],
             [ 0.04270749,  0.19110957],
             [ 0.01490733,  0.14117007],
             [ 0.08058018,  0.24027793],
             [ 0.04230459,  0.19400259],
             [ 0.06365834,  0.22972305],
             [ 0.06567284,  0.23697384],
             [ 0.05237712,  0.23000788]]), 'split2_test_score': array([[ 0.0012087 ,  0.10383731],
             [ 0.16800967,  0.31609368],
             [ 0.15471394,  0.29307075],
             [ 0.        ,  0.09922823],
             [ 0.00604351,  0.12529133],
             [ 0.10676873,  0.09876702],
             [ 0.        ,  0.09858777],
             [ 0.06809025,  0.25822507],
             [ 0.00443191,  0.12732631],
             [ 0.00322321,  0.10967994],
             [ 0.03867849,  0.21063571],
             [ 0.05076551,  0.25371209],
             [ 0.0004029 ,  0.10513341],
             [ 0.01289283,  0.14764433],
             [ 0.07252216,  0.26796511],
             [ 0.10838034,  0.15883248],
             [ 0.05398872,  0.17544575],
             [ 0.12046737,  0.14981281],
             [ 0.14625302,  0.11315046],
             [ 0.        ,  0.09876934],
             [ 0.06849315,  0.22417261],
             [ 0.0008058 ,  0.10789509],
             [ 0.00362611,  0.11280398],
             [ 0.0443191 ,  0.18787326],
             [ 0.21474617,  0.34286586],
             [ 0.17526189,  0.31660082],
             [ 0.07937147,  0.27443   ],
             [ 0.00805802,  0.12982056],
             [ 0.21273167,  0.36085734],
             [ 0.0455278 ,  0.21898304],
             [ 0.0004029 ,  0.09962888],
             [ 0.0918614 ,  0.2804073 ],
             [ 0.10515713,  0.29557532],
             [ 0.        ,  0.09807728],
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             [ 0.0004029 ,  0.10306485],
             [ 0.11724416,  0.31034453],
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             [ 0.06325544,  0.24607194],
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             [ 0.00362611,  0.11377189],
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             [ 0.07534247,  0.27413204],
             [ 0.00282031,  0.11515394],
             [ 0.02014504,  0.1772265 ],
             [ 0.01128122,  0.14233689],
             [ 0.00241741,  0.11598772],
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             [ 0.04230459,  0.1698722 ],
             [ 0.01893634,  0.15510599],
             [ 0.00805802,  0.14462544],
             [ 0.00241741,  0.11860952],
             [ 0.02336825,  0.21627579],
             [ 0.08541499,  0.13776416],
             [ 0.00725222,  0.14099449],
             [ 0.1821112 ,  0.30919737],
             [ 0.1349718 ,  0.16562855],
             [ 0.09991942,  0.30656339],
             [ 0.00282031,  0.11347554],
             [ 0.00684932,  0.12019827],
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             [ 0.00805802,  0.13471223],
             [ 0.11442385,  0.30211809],
             [ 0.05237712,  0.22730276],
             [ 0.06204674,  0.27249429],
             [ 0.06244964,  0.24952493],
             [ 0.14665592,  0.34220228]]), 'split3_test_score': array([[  4.02900886e-04,   1.98478961e-01],
             [  1.49073328e-01,   4.15672309e-01],
             [  2.17566479e-02,   3.25087964e-01],
             [  0.00000000e+00,   1.94903122e-01],
             [  1.32957293e-02,   2.44139743e-01],
             [  8.46091861e-02,   1.98957207e-01],
             [  0.00000000e+00,   1.94621204e-01],
             [  6.56728445e-02,   3.30587163e-01],
             [  1.65189363e-02,   2.40481096e-01],
             [  1.20870266e-03,   2.01768631e-01],
             [  3.06204674e-02,   2.70246030e-01],
             [  5.72119259e-02,   3.24711121e-01],
             [  0.00000000e+00,   2.00118600e-01],
             [  1.97421434e-02,   2.32562184e-01],
             [  5.68090250e-02,   3.25065275e-01],
             [  7.53424658e-02,   2.58643458e-01],
             [  1.32957293e-01,   3.89620876e-01],
             [  8.17888799e-02,   2.37698004e-01],
             [  1.48670427e-01,   2.17286984e-01],
             [  0.00000000e+00,   1.94932749e-01],
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               7.65898885,  11.35385117,  13.64290205,  11.48882682,
               7.55304724,  35.69553349,   8.86461606,  24.89778485,
              24.74603502,  21.46729252,  12.80180281,  21.39852313,
              11.3344716 ,  20.93976754,  11.74544981,  31.4218456 ,
               7.49005062,  15.17840148,  13.07508281,  10.9203056 ,
              10.83061482,   7.08902776,  24.48309534,  19.5784922 ,
              24.70116116,  30.8542582 ,   7.9662632 ,  24.87998958,
              30.75210668,   7.16782923,  10.88146454,  20.31158509,
              20.24652292,  10.65665056,  18.76219294,  22.60355785,
              10.6806653 ,  34.70974707,  12.12370341,   8.57044466,
              19.2556142 ,  12.53345715,  34.67955822,  34.76794644,
              22.11217288,   7.02772165,  20.80936937,   7.39927502,
              24.15767739,   6.9177715 ,  19.4751505 ,  31.00643296,
              21.40432085,  20.62543021,  20.21582589,  10.55458291,
              10.5177432 ,  19.59230822,  24.54155967,   7.11978334]), 'mean_score_time': array([ 0.99486654,  0.99517353,  0.99928639,  1.01510377,  0.99075832,
              0.9242944 ,  0.99432566,  1.2481745 ,  1.24318554,  1.00875533,
              1.00011027,  0.99520533,  0.99707582,  0.99561582,  1.25234501,
              0.93507655,  1.00053382,  0.91650314,  0.9199523 ,  0.99935353,
              0.99431629,  0.97975879,  0.9400275 ,  1.25051167,  1.25119698,
              0.99438   ,  1.00042152,  0.99915137,  1.2437176 ,  1.00671687,
              0.99592092,  0.98876915,  0.99575393,  0.99927294,  1.00094376,
              1.24095266,  0.99782548,  0.99188976,  0.99385121,  0.99869251,
              1.24292874,  0.97219272,  0.99179287,  1.01446342,  0.95045652,
              1.00762308,  1.00775125,  0.93516519,  1.25615411,  0.99672048,
              0.99900568,  0.92282965,  1.00116162,  1.00165799,  0.9934094 ,
              0.99027295,  0.99257946,  1.0017396 ,  0.99226122,  0.99330664,
              0.99232848,  1.0330894 ,  0.9965909 ,  0.99617534,  0.99275851,
              1.24830377,  0.99765358,  1.24736042,  1.24849451,  0.99154506,
              0.98891747,  1.00617766,  1.00301232,  1.24755123,  0.99533293,
              1.23904507,  1.00285885,  0.99857867,  1.00398376,  0.99084373,
              0.98957059,  0.99997993,  0.9915091 ,  0.99389102,  1.01884036,
              1.26031957,  1.00387452,  0.99449818,  1.25670669,  0.99574554,
              0.92764103,  1.24528711,  1.24585528,  0.91355658,  0.99603779,
              0.99412498,  0.99145927,  1.25463119,  1.01204741,  0.99541163,
              0.99692144,  1.00110209,  1.24920306,  1.24203041,  0.95651226,
              0.99107289,  0.91640584,  0.9978704 ,  1.24399025,  0.91652801,
              0.99644804,  1.24610538,  1.00120142,  1.00380597,  1.24577873,
              0.99877734,  1.00132391,  0.9911186 ,  1.01742485,  1.01100767]), 'std_score_time': array([ 0.21774797,  0.21922803,  0.22119548,  0.22875113,  0.22125571,
              0.18869512,  0.22081101,  0.33635826,  0.34147076,  0.21721621,
              0.21655288,  0.21800531,  0.21664826,  0.21755672,  0.32664385,
              0.18337727,  0.20893264,  0.17949836,  0.1783534 ,  0.23154532,
              0.22144902,  0.2223604 ,  0.20305525,  0.32972251,  0.32941348,
              0.21927874,  0.21487237,  0.21717787,  0.31760652,  0.2213607 ,
              0.21928718,  0.22183304,  0.22967403,  0.23101196,  0.24047503,
              0.32929787,  0.21823803,  0.2191926 ,  0.22121266,  0.22816657,
              0.32784342,  0.21155181,  0.2129535 ,  0.23815487,  0.19124198,
              0.22848209,  0.21668081,  0.1862492 ,  0.3435189 ,  0.22369035,
              0.23218662,  0.18755738,  0.22808374,  0.23476496,  0.22147621,
              0.22470276,  0.220674  ,  0.2354396 ,  0.21985829,  0.22269783,
              0.21934582,  0.22428446,  0.21739696,  0.22210601,  0.21858355,
              0.34111288,  0.2145217 ,  0.32923594,  0.32192415,  0.22344016,
              0.22515495,  0.22868176,  0.22886351,  0.34033885,  0.21494527,
              0.32929132,  0.2313002 ,  0.22507301,  0.23853752,  0.22453436,
              0.22314175,  0.22292355,  0.22298883,  0.21921998,  0.21301855,
              0.33008006,  0.21881571,  0.2272393 ,  0.32696235,  0.21524153,
              0.19366309,  0.32780975,  0.32747582,  0.18095463,  0.22492449,
              0.22073039,  0.22071498,  0.3381752 ,  0.23206677,  0.22111463,
              0.21989996,  0.22662357,  0.32050609,  0.33234368,  0.21642781,
              0.22436764,  0.18512738,  0.22350461,  0.33816392,  0.18029044,
              0.2282664 ,  0.32362686,  0.21051256,  0.21966953,  0.32137847,
              0.2201683 ,  0.22195233,  0.22149896,  0.26226251,  0.23741971]), 'param_clf__alpha': masked_array(data = [0.00017597077970313044, 4.0525604469294676e-05, 2.0422273161282804e-05,
       0.086929239461175034, 0.0018942293456956512, 1.7626808021271313e-06,
       0.0013562677759283116, 3.4638231205042381e-06, 0.00073896921872034123,
       0.010335433256289498, 3.5866301534942438e-06, 6.7782596250392442e-06,
       0.0089394191347470578, 2.4199897233246003e-05, 1.8735134742919023e-06,
       0.00054725589005528866, 1.3840360595952374e-05, 8.9815680466803699e-06,
       4.3882482319725098e-05, 0.00013550590008459555, 0.045947785193583994,
       0.013416392857453545, 0.0001848233694393134, 0.0026553378298933496,
       0.099998313579561474, 2.8186246427982286e-05, 0.00081140571071466471,
       0.074806398030244789, 0.019470431416396147, 0.001605988343241457,
       0.00038201266559656868, 2.5561171322245441e-06, 0.00012542506550152949,
       0.00026275187279914473, 4.9367701306041794e-05, 0.057622635275589057,
       0.0096717027249187525, 4.4171418724049108e-05, 0.00090090600202930135,
       0.019170929186047077, 4.9615608896614082e-06, 0.024316756224079247,
       0.034078138325776886, 0.0005331622259744566, 0.0012410314253929093,
       0.0052583844450100224, 0.00020946522051138182, 2.7174692091334791e-05,
       0.00020133612047180014, 6.9322705435867352e-05, 0.00024414802131026109,
       2.1649045296153059e-06, 1.4565436677491349e-05, 2.499233556326061e-06,
       3.8024392947727966e-05, 1.5638288494208498e-05, 0.011338598783377934,
       1.9793831392284643e-05, 0.049021959461273815, 0.00012008321480057106,
       0.0055115587791625727, 0.00027312687142686795, 0.00041804233170339075,
       0.003116177595097355, 3.5219115478166047e-06, 0.00023474647950157341,
       0.092653428060622961, 2.2037911030022437e-05, 0.017313837848688788,
       0.086439570884629696, 0.086293104575298776, 3.6665525252747396e-06,
       1.3439228888385114e-05, 0.0019893728840577303, 0.0015392177484362004,
       0.0033998932286190024, 0.0029139167841487775, 0.0040855948935692391,
       0.028648465787243605, 8.4312710330563916e-06, 3.2030764702666475e-06,
       0.00020118699296604986, 2.3289345063258678e-06, 2.3724679508942659e-05,
       0.086636244651070532, 0.013079101202146937, 0.0071680605411510176,
       6.7520113579000186e-05, 0.0013276346545007148, 0.00012509493675773715,
       5.687583864722091e-05, 0.028303494248338164, 0.00023086153567611459,
       1.4507550847870866e-05, 4.9110800265846377e-05, 5.0917142433098987e-05,
       0.0007377983945920279, 0.00017360241757378997, 0.017685750744175499,
       0.09249900311905325, 0.00024719820254817752, 0.0011864769936389078,
       0.00012204263465691583, 6.3840029524853521e-05, 0.00024627528438524594,
       0.03234402311143058, 5.581109011055531e-06, 0.0015862318029156897,
       0.0048490977522952852, 5.3687476022592154e-06, 0.00016246999979685156,
       0.00018831929667949688, 0.032405069851372661, 8.7051570510887956e-06,
       3.6751397203451771e-05, 2.0774304230226871e-06, 0.00030243760335035629,
       0.00017283984699332337, 8.031780062243039e-06, 4.201525837482396e-05],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__average': masked_array(data = [True, False, False, True, True, True, True, False, True, False, False, False, False,
       True, False, True, False, False, True, True, False, False, True, True, False, False,
       True, True, True, True, True, False, True, True, True, False, True, True, True, True,
       False, True, False, False, False, False, True, False, True, False, True, False, True,
       True, True, True, True, True, True, True, False, True, False, True, False, True, False,
       True, True, False, True, False, True, False, True, False, False, False, True, True,
       True, False, True, False, True, False, False, True, False, False, True, False, False,
       True, False, True, True, True, True, False, True, False, True, True, True, False, False,
       False, True, False, False, False, True, False, False, True, True, False, True, False],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__class_weight': masked_array(data = ['balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced',
       'balanced', 'balanced', 'balanced', 'balanced', 'balanced', 'balanced'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__loss': masked_array(data = ['hinge', 'squared_hinge', 'squared_hinge', 'perceptron', 'hinge',
       'modified_huber', 'hinge', 'log', 'log', 'hinge', 'hinge', 'hinge',
       'squared_hinge', 'hinge', 'log', 'modified_huber', 'squared_hinge',
       'modified_huber', 'modified_huber', 'perceptron', 'hinge', 'perceptron',
       'modified_huber', 'log', 'log', 'squared_hinge', 'squared_hinge',
       'squared_hinge', 'log', 'squared_hinge', 'perceptron', 'perceptron',
       'perceptron', 'perceptron', 'hinge', 'log', 'hinge', 'perceptron',
       'squared_hinge', 'hinge', 'log', 'modified_huber', 'modified_huber',
       'squared_hinge', 'modified_huber', 'squared_hinge', 'squared_hinge',
       'modified_huber', 'log', 'perceptron', 'squared_hinge', 'modified_huber',
       'hinge', 'squared_hinge', 'squared_hinge', 'hinge', 'hinge', 'squared_hinge',
       'squared_hinge', 'hinge', 'hinge', 'hinge', 'perceptron', 'hinge',
       'squared_hinge', 'log', 'hinge', 'log', 'log', 'squared_hinge', 'hinge',
       'squared_hinge', 'hinge', 'log', 'squared_hinge', 'log', 'perceptron', 'hinge',
       'squared_hinge', 'squared_hinge', 'squared_hinge', 'hinge', 'squared_hinge',
       'perceptron', 'modified_huber', 'log', 'squared_hinge', 'squared_hinge', 'log',
       'squared_hinge', 'modified_huber', 'log', 'log', 'modified_huber', 'hinge',
       'hinge', 'hinge', 'log', 'squared_hinge', 'hinge', 'hinge', 'perceptron', 'log',
       'log', 'modified_huber', 'perceptron', 'modified_huber', 'squared_hinge', 'log',
       'modified_huber', 'squared_hinge', 'log', 'hinge', 'perceptron', 'log', 'hinge',
       'hinge', 'squared_hinge', 'hinge', 'squared_hinge'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'param_clf__penalty': masked_array(data = ['elasticnet', 'elasticnet', 'elasticnet', 'elasticnet', 'l2', 'elasticnet',
       'elasticnet', 'elasticnet', 'l2', 'elasticnet', 'l2', 'elasticnet', 'elasticnet',
       'elasticnet', 'elasticnet', 'l2', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2',
       'elasticnet', 'elasticnet', 'elasticnet', 'elasticnet', 'l2', 'l2', 'elasticnet',
       'l2', 'l2', 'elasticnet', 'elasticnet', 'l2', 'elasticnet', 'elasticnet',
       'elasticnet', 'elasticnet', 'l2', 'l2', 'elasticnet', 'elasticnet', 'l2',
       'elasticnet', 'l2', 'l2', 'elasticnet', 'l2', 'elasticnet', 'l2', 'l2', 'l2',
       'elasticnet', 'l2', 'l2', 'l2', 'elasticnet', 'elasticnet', 'l2', 'elasticnet',
       'l2', 'l2', 'l2', 'elasticnet', 'l2', 'l2', 'elasticnet', 'l2', 'l2', 'l2',
       'elasticnet', 'l2', 'elasticnet', 'l2', 'l2', 'l2', 'elasticnet', 'l2',
       'elasticnet', 'l2', 'l2', 'l2', 'l2', 'elasticnet', 'elasticnet', 'elasticnet',
       'elasticnet', 'l2', 'elasticnet', 'elasticnet', 'l2', 'l2', 'l2', 'l2', 'l2',
       'elasticnet', 'elasticnet', 'l2', 'elasticnet', 'l2', 'l2', 'elasticnet',
       'elasticnet', 'elasticnet', 'elasticnet', 'elasticnet', 'l2', 'elasticnet', 'l2',
       'l2', 'l2', 'elasticnet', 'elasticnet', 'elasticnet', 'elasticnet', 'l2', 'l2',
       'l2', 'elasticnet', 'elasticnet', 'l2'],
                   mask = [False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False, False, False, False],
             fill_value = nan)
      , 'params': [{'clf__alpha': 0.00017597077970313044, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 4.0525604469294676e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 2.0422273161282804e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.086929239461175034, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0018942293456956512, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 1.7626808021271313e-06, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0013562677759283116, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 3.4638231205042381e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00073896921872034123, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.010335433256289498, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 3.5866301534942438e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 6.7782596250392442e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0089394191347470578, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 2.4199897233246003e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.8735134742919023e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00054725589005528866, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 1.3840360595952374e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 8.9815680466803699e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 4.3882482319725098e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00013550590008459555, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.045947785193583994, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.013416392857453545, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0001848233694393134, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0026553378298933496, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.099998313579561474, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 2.8186246427982286e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00081140571071466471, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.074806398030244789, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.019470431416396147, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.001605988343241457, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00038201266559656868, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 2.5561171322245441e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00012542506550152949, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00026275187279914473, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 4.9367701306041794e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.057622635275589057, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0096717027249187525, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 4.4171418724049108e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00090090600202930135, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.019170929186047077, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 4.9615608896614082e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.024316756224079247, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.034078138325776886, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0005331622259744566, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0012410314253929093, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0052583844450100224, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00020946522051138182, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 2.7174692091334791e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00020133612047180014, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 6.9322705435867352e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00024414802131026109, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 2.1649045296153059e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.4565436677491349e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 2.499233556326061e-06, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 3.8024392947727966e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 1.5638288494208498e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.011338598783377934, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.9793831392284643e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.049021959461273815, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00012008321480057106, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0055115587791625727, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00027312687142686795, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00041804233170339075, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.003116177595097355, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 3.5219115478166047e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00023474647950157341, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.092653428060622961, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 2.2037911030022437e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.017313837848688788, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.086439570884629696, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.086293104575298776, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 3.6665525252747396e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 1.3439228888385114e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0019893728840577303, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0015392177484362004, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0033998932286190024, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0029139167841487775, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0040855948935692391, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.028648465787243605, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 8.4312710330563916e-06, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 3.2030764702666475e-06, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00020118699296604986, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 2.3289345063258678e-06, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 2.3724679508942659e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.086636244651070532, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.013079101202146937, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0071680605411510176, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 6.7520113579000186e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0013276346545007148, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00012509493675773715, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 5.687583864722091e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.028303494248338164, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00023086153567611459, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 1.4507550847870866e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 4.9110800265846377e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 5.0917142433098987e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0007377983945920279, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00017360241757378997, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.017685750744175499, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.09249900311905325, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00024719820254817752, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0011864769936389078, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00012204263465691583, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 6.3840029524853521e-05, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00024627528438524594, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.03234402311143058, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'l2'}, {'clf__alpha': 5.581109011055531e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.0015862318029156897, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.0048490977522952852, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 5.3687476022592154e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'modified_huber', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00016246999979685156, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.00018831929667949688, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 0.032405069851372661, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 8.7051570510887956e-06, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'perceptron', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 3.6751397203451771e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'log', 'clf__penalty': 'l2'}, {'clf__alpha': 2.0774304230226871e-06, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00030243760335035629, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'l2'}, {'clf__alpha': 0.00017283984699332337, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 8.031780062243039e-06, 'clf__average': True, 'clf__class_weight': 'balanced', 'clf__loss': 'hinge', 'clf__penalty': 'elasticnet'}, {'clf__alpha': 4.201525837482396e-05, 'clf__average': False, 'clf__class_weight': 'balanced', 'clf__loss': 'squared_hinge', 'clf__penalty': 'l2'}]}
  
      
  
  
      results = {"NearestCentroid": [normal_nearest_centroid, 
                                     random_nearest_centroid],
                  "MultinomialNB": [normal_multinomial_nb, 
                                    random_multinomial_nb],
                  "LinearSVC": [normal_linear_svc, 
                                random_linear_svc],
                  "Primal LogisticRegression": [normal_primal_logistic_regression, 
                                                random_primal_logistic_regression],
                  "Dual LogisticRegression": [normal_dual_logistic_regression, 
                                              random_dual_logistic_regression],
                  "PerceptronWithPenalty": [normal_perceptron_with_penalty, 
                                            random_perceptron_with_penalty],
                  "PerceptronWithoutPenalty": [normal_perceptron_without_penalty, 
                                               random_perceptron_without_penalty],
                  "SGDClassifier": [normal_sgd_classifier, 
                                    random_sgd_classifier]}
      results_to_save_to_a_file = {"random_avg": {}, "normal_avg": {}}   
      strategy_key, means, stds, params_list = None, None, None, None
      for key, value in results.items():
          for i,  strategy_data in enumerate(value):
              strategy_key = "normal_avg" if i == 0 else "random_avg"
              print("{}".format(key)) # Debug    
              means = strategy_data['mean_test_score']
              stds = strategy_data['std_test_score']
              params_list = strategy_data['params']
              results_to_save_to_a_file[strategy_key][key] = {}
              results_to_save_to_a_file[strategy_key][key]["means_accuracy"] = \
              means[:,0].tolist()
              results_to_save_to_a_file[strategy_key][key]["means_mrr"] = \
              means[:,1].tolist()
              results_to_save_to_a_file[strategy_key][key]["params"] = \
              params_list
              print("Grid scores on the training set:")
              for mean, std, params in zip(means, stds, params_list):
                  print("{} (+/-{}) for {!r}".format(mean, std * 2, params))
              print("All results on the training set")
              print(strategy_data)
      current_dir = os.path.dirname(os.path.abspath( \
      inspect.getfile(inspect.currentframe())))
      cleaned_results_file_name = "cleaned_tuning_" + \
      "individual_classifier_generic_experiment_results.json"
      cleaned_results_file_name = os.path.join( \
      current_dir, cleaned_results_file_name)
  
      with open(cleaned_results_file_name, 'w') as output_file:
          json.dump(results_to_save_to_a_file, output_file, \
                    indent=4)
  
  if __name__ == "__main__":
      main()