fix: data folder

data/benchmark_binary_classification_preprocessing.csv

@@ -1,20 +0,0 @@
-,CorrelationRemover,Reweighing,DisparateImpactRemover,LearningFairRepresentation
-Mean Score,0.8865675966191056,0.8750882261823116,0.864555697133303,0.8631850989929959
-Std Score,0.05808404842677697,0.06044782998151678,0.07543367288425162,0.07997277289145706
-Mean Time,1.62271349132061,4.598107069730759,33.05408301949501,16.696009293198586
-acsincome_race,0.876318537864686,0.8394366449845139,0.8423873124775367,0.7314480143674112
-acsincome_sex,0.8666829734575975,0.863420203884757,0.8679427324917623,0.8354780849750681
-acspublic_race,0.8763788955745078,0.8764585821664029,0.8747024025445106,0.8511309045357501
-acspublic_sex,0.8661627912602552,0.8606145829519258,0.8570400007305938,0.838605610343224
-adult_race,0.9222020952677327,0.8784667451538911,0.8848678190808551,0.869640765500452
-adult_sex,0.8774767277464404,0.8753323600753278,0.666232179647573,0.878220011055832
-bank_marketing_marital,0.9482961005249901,0.9436748040290688,0.934810647071779,0.9408382174057281
-census_kdd_sex,0.9500829865428035,0.9604395078730803,0.9554568631298583,0.9701461158414801
-clinical_records_sex,0.8416666666666667,0.8083333333333333,0.8416666666666667,0.7916666666666667
-compass_race,0.7682449081554122,0.7464268945784709,0.7490146623708491,0.7060908476974505
-compass_sex,0.7712248276713058,0.7799306657334881,0.7973506831753531,0.7667748361012776
-diabetes_race,0.9442588316218739,0.9442588316218739,0.9442588316218739,0.9442588316218739
-diabetes_sex,0.9442588316218739,0.9442588316218739,0.9442588316218739,0.9442588316218739
-german_credit_sex,0.8471428571428572,0.8461706349206349,0.8441666666666667,0.8525
-law_school_race,0.9445482987976943,0.8965430403625865,0.8924080049050431,0.944951923076923
-law_school_sex,0.9401352159889913,0.9376459556257561,0.9363268499300533,0.944951923076923

data/benchmark_binary_classification_preprocessing.parquet

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+size 4613

data/benchmark_clustering_inprocessing.csv

@@ -1,12 +0,0 @@
-,FairKCenterClustering
-Mean Score,1.0385496619487136
-Std Score,0.07859845400826806
-Mean Time,138.30124121904373
-adult_race,
-adult_sex,1.0341722424228659
-clinical_records_sex,1.118377276252995
-compass_race,0.9765844254562092
-compass_sex,0.9679744366336392
-german_credit_sex,1.1866877103325735
-student_address,0.9618638921994989
-student_sex,1.0241876503432137

data/benchmark_clustering_inprocessing.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 2055

data/benchmark_clustering_postprocessing.csv

@@ -1,12 +0,0 @@
-,MCMF
-Mean Score,1.0120930621530504
-Std Score,0.10704138637970127
-Mean Time,1.8943922519683838
-adult_race,0.8074644662760498
-adult_sex,1.0341725618243027
-clinical_records_sex,1.1183760881402462
-compass_race,0.9769068201474944
-compass_sex,0.9679831843308997
-german_credit_sex,1.186450439220983
-student_address,0.9566219317591514
-student_sex,1.048769005525275

data/benchmark_clustering_postprocessing.parquet

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+size 1930

data/benchmark_clustering_preprocessing.csv

@@ -1,12 +0,0 @@
-,FairletClusteringPreprocessing
-Mean Score,1.0673654726142574
-Std Score,0.07683505707356594
-Mean Time,3.2132120728492737
-adult_race,
-adult_sex,1.0480080211405847
-clinical_records_sex,1.2173681193924029
-compass_race,1.042285097564172
-compass_sex,
-german_credit_sex,0.9997231472927809
-student_address,
-student_sex,1.0294429776813472

data/benchmark_clustering_preprocessing.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:21492e5d7d411b997b41bb51174cab4025b1f3edcdd83d95b5bfed4f7717efe1
+size 2114

data/benchmark_multiclass_inprocessing.csv

@@ -1,7 +0,0 @@
-,FairScoreClassifier
-Mean Score,
-Std Score,
-Mean Time,0.6336973508199056
-student_multiclass_address,
-student_multiclass_sex,
-us_crime_multiclass_race,

data/benchmark_multiclass_inprocessing.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 1925

data/benchmark_multiclass_postprocessing.csv

@@ -1,7 +0,0 @@
-,MLDebiaser,LPDebiaserMulticlass
-Mean Score,0.6546835391452802,0.534953106497849
-Std Score,0.07083251627187741,0.10330588438990307
-Mean Time,10.051608324050903,0.07030876477559407
-student_multiclass_address,0.6799800133244505,0.6303519875638464
-student_multiclass_sex,0.7259753660161519,0.5830787605011293
-us_crime_multiclass_race,0.5580952380952381,0.3914285714285714

data/benchmark_multiclass_postprocessing.parquet

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+size 2587

data/benchmark_multiclass_preprocessing.csv

@@ -1,7 +0,0 @@
-,CorrelationRemover,Reweighing,DisparateImpactRemover
-Mean Score,0.6242105237365309,0.5933368140429286,0.5893518761398712
-Std Score,0.08739470615832523,0.1417774680555805,0.10445268339441292
-Mean Time,0.38423887888590497,0.03198345502217611,0.07809178034464519
-student_multiclass_address,0.6592438374417056,0.6655729513657562,0.5234010659560293
-student_multiclass_sex,0.7093401147202678,0.7191993955249346,0.7367974196064413
-us_crime_multiclass_race,0.5040476190476191,0.3952380952380952,0.5078571428571428

data/benchmark_multiclass_preprocessing.parquet

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+size 3275

data/benchmark_regression_inprocessing.csv

@@ -1,7 +0,0 @@
-,ExponentiatedGradientReduction,GridSearchReduction
-Mean Score,0.44810584983029017,0.4231354880284339
-Std Score,0.06965751486201352,0.10284328585555894
-Mean Time,1.3806541760762532,2.872397263844808
-student_address,0.49742220803719306,0.4931325031114492
-student_sex,0.49730006862314124,0.4985472407798601
-us_crime_race,0.34959527283053626,0.27772672019399236

data/benchmark_regression_inprocessing.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 2702

data/benchmark_regression_postprocessing.csv

@@ -1,7 +0,0 @@
-,WassersteinBarycenter,PluginEstimationAndCalibration
-Mean Score,0.4916637362354133,0.38669995145967717
-Std Score,0.007820612046714834,0.14351958425394262
-Mean Time,0.1337589422861735,0.7397027810414633
-student_address,0.4957188685994014,0.5
-student_sex,0.4985473924898044,0.18421052631579038
-us_crime_race,0.4807249476170341,0.47588932806324113

data/benchmark_regression_postprocessing.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 2708

data/benchmark_regression_preprocessing.csv

@@ -1,7 +0,0 @@
-,CorrelationRemover,DisparateImpactRemover
-Mean Score,0.4782471847142234,0.4282946641192466
-Std Score,0.02739730319648526,0.09606931979165735
-Mean Time,0.24269692103068033,0.4752860864003499
-student_address,0.49561454487038326,0.49586758511933615
-student_sex,0.49955849479391634,0.4965836490920693
-us_crime_race,0.43956851447837075,0.2924327581463344

data/benchmark_regression_preprocessing.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 2634

run_benchmark.py

@@ -17,7 +17,7 @@ def main():
             results = benchmark.run()
             if not os.path.exists("data"):
                 os.makedirs("data")
-            results.to_csv(f"data/benchmark_{task_type}_{stage}.csv", index=True)
+            results.to_parquet(f"data/benchmark_{task_type}_{stage}.parquet", index=True)
             print(f"Results saved for {task_type} task type and {stage} stage.")  # noqa: T201
 
 if __name__ == "__main__":