multilabel-dockerfile-model / classification_report.csv
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Upload cleaned multilabel classifier for Dockerfile QA
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,precision,recall,f1-score,support
DL4006,0.9652173913043478,0.9652173913043478,0.9652173913043478,805.0
DL3008,0.9953198127925117,0.996875,0.9960967993754879,640.0
SC2086,0.9857369255150554,0.9703588143525741,0.9779874213836478,641.0
DL3003,0.9860279441117764,0.9743589743589743,0.9801587301587301,507.0
DL3015,0.9955456570155902,0.9824175824175824,0.9889380530973452,455.0
DL3047,0.9907834101382489,0.9598214285714286,0.9750566893424036,448.0
DL3009,0.9784688995215312,0.966903073286052,0.9726516052318668,423.0
DL3004,0.9937888198757764,0.9937888198757764,0.9937888198757764,322.0
DL4001,0.9840637450199203,0.946360153256705,0.96484375,261.0
DL4000,1.0,0.9964028776978417,0.9981981981981982,278.0
DL3059,0.9362549800796812,0.9215686274509803,0.9288537549407114,255.0
DL3018,1.0,0.9945945945945946,0.997289972899729,185.0
SC2016,0.9947916666666666,0.9794871794871794,0.9870801033591732,195.0
SC2046,0.8271604938271605,0.9115646258503401,0.8673139158576052,147.0
DL3006,0.9940828402366864,0.9882352941176471,0.9911504424778761,170.0
SC2028,0.9681528662420382,0.9806451612903225,0.9743589743589743,155.0
DL3027,0.9644970414201184,0.9760479041916168,0.9702380952380952,167.0
DL3020,0.9770114942528736,0.8585858585858586,0.9139784946236559,99.0
DL3025,0.8817204301075269,0.8631578947368421,0.8723404255319149,95.0
DL3042,0.8736842105263158,0.8924731182795699,0.8829787234042553,93.0
DL3013,0.8354430379746836,0.8461538461538461,0.8407643312101911,78.0
DL3007,0.9764705882352941,1.0,0.9880952380952381,83.0
DL3033,0.9516129032258065,0.9516129032258065,0.9516129032258065,62.0
SC2043,1.0,0.9594594594594594,0.9793103448275862,74.0
DL3019,1.0,0.9423076923076923,0.9702970297029703,52.0
DL3005,1.0,0.9019607843137255,0.9484536082474226,51.0
DL3002,0.9375,0.9375,0.9375,32.0
DL3048,0.9230769230769231,0.8,0.8571428571428571,45.0
DL3045,1.0,0.7931034482758621,0.8846153846153846,29.0
DL3032,0.9565217391304348,0.8461538461538461,0.8979591836734694,26.0
micro avg,0.9744004707959394,0.963625782045686,0.968983174835406,6873.0
macro avg,0.9624311273432322,0.9365705451198826,0.9484757080466906,6873.0
weighted avg,0.9748532029955321,0.963625782045686,0.9689648091121812,6873.0
samples avg,0.9761015873015874,0.9658639490139491,0.9670997601651524,6873.0