Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
 Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
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n1
int64
20
1k
n2
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84.2
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99.4
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7,643
train
H1
H13
300
300
50
52
51
-0.777137
1.050428
0.343069
0.34367
2.675035
4.215049
3.010287
0.34367
1.050428
0.221985
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1.103644
0.452082
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7,643
train
H0
H13
500
500
50
50.6
48.6
-0.298872
0.293539
0.276881
0.276689
0.089979
0.087288
0.091133
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0.293539
0.758754
0.076557
0.081081
0.08615
0.040429
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7,643
train
H1
H13
500
500
50
54.2
51.4
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1.159016
0.937016
0.936194
1.38339
2.219204
1.470277
0.936194
1.159016
0.22898
0.876458
1.129244
1.343369
0.138905
0.136698
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7,643
train
H0
H13
1,000
1,000
50
51.5
49.8
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0.595213
0.76964
0.769217
0.592218
3.174795
0.606122
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0.76964
0.365452
0.591694
0.537091
0.354238
0.521077
0.568171
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7,643
train
H1
H13
1,000
1,000
50
51.1
49.2
-0.98286
1.219231
0.518837
0.518638
3.370882
4.288274
3.613153
0.518638
1.219231
0.164215
0.268985
0.876862
1.486567
0.347272
0.358539
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7,643
train
H0
H14
20
20
0
0
0
-1.163154
1.163154
1.466741
1.501285
2.586227
3.706061
2.472904
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1.466741
0.238808
2.253858
1.723731
1.360309
2.652408
2.529597
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7,643
train
H1
H14
20
20
0
0
0
0.189351
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0.31416
4.017877
0.136886
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0.25954
0.097562
0.024656
0.035675
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0.034062
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7,643
train
H0
H14
30
30
0
0
0
1.389736
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1.765708
3.720989
1.944236
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1.389736
0.161075
1.618758
1.756487
1.937188
0.583025
0.509381
1.401464
7,643
train
H1
H14
30
30
0
0
0
-0.827928
0.827928
1.269464
1.290776
2.575521
5.272249
2.268065
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1.269464
0.152913
1.666103
0.99297
0.683932
2.551999
2.363523
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7,643
train
H0
H14
50
50
0
0
0
-1.027179
1.027179
0.684525
0.678651
1.161192
1.032158
1.263436
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1.027179
0.301906
0.460567
0.79729
1.054254
0.024551
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7,643
train
H1
H14
50
50
0
0
0
-1.040967
1.040967
1.601641
1.624293
3.450197
3.443141
3.4216
1.624293
1.601641
0.180721
2.638329
1.702179
1.083402
3.712159
3.651164
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7,643
train
H0
H14
75
75
0
0
0
-1.674513
1.674513
1.334222
1.338041
2.976527
3.035059
2.892463
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1.674513
0.09514
1.790353
2.615925
2.818789
0.316992
0.413465
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7,643
train
H1
H14
75
75
0
0
0
-0.336406
0.336406
0.849949
0.848248
1.49262
1.543447
1.439279
0.848248
0.849949
0.486928
0.719524
0.291008
0.112898
1.450305
1.37308
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7,643
train
H0
H14
100
100
0
0
0
0.334744
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0.234018
3.436566
0.252044
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0.475611
0.329083
0.224966
0.210099
0.111864
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7,643
train
H1
H14
100
100
0
0
0
-0.307867
0.307867
1.221352
1.231269
4.192118
4.182472
4.219032
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1.221352
0.121297
1.516023
0.462429
0.094671
3.712642
3.646809
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7,643
train
H0
H14
150
150
0
0
0
-0.029285
0.029285
0.18988
0.18951
0.256098
2.639106
0.113073
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0.18988
0.450675
0.035914
0.003122
0.000857
0.107793
0.072787
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7,643
train
H1
H14
150
150
0
0
0
0.746756
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0.278138
0.278678
4.345793
4.508824
4.237058
0.746756
0.746756
0.120208
0.077661
0.155793
0.557666
1.542777
1.468636
0.748004
7,643
train
H0
H14
200
200
0
0
0
-0.079575
0.079575
0.131621
0.131288
0.017896
1.083333
0.022179
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0.131621
0.781099
0.017236
0.008401
0.006327
0.028707
0.046926
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7,643
train
H1
H14
200
200
0
0
0
0.758557
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0.207271
0.207503
3.965087
3.989771
3.730476
0.758557
0.758557
0.154859
0.043057
0.193424
0.575278
1.27097
1.190704
0.759507
7,643
train
H0
H14
300
300
0
0
0
1.94999
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3.931538
4.101274
3.856192
1.94999
1.94999
0.050984
2.520713
3.501901
3.807642
0.659239
0.738193
1.951617
7,643
train
H1
H14
300
300
0
0
0
0.705105
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0.262962
0.263131
3.870391
3.867642
3.668202
0.705105
0.705105
0.159757
0.069238
0.147127
0.497123
1.36493
1.300161
0.705694
7,643
train
H0
H14
500
500
0
0
0
-1.05373
1.05373
0.888077
0.887387
0.858978
3.385831
1.113283
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1.05373
0.291765
0.787455
0.896993
1.110275
0.242387
0.21302
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7,643
train
H1
H14
500
500
0
0
0
-0.538252
0.538252
1.424797
1.430165
4.088912
4.881269
4.128734
1.430165
1.424797
0.126899
2.045371
0.788248
0.289667
3.905403
4.027539
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7,643
train
H0
H14
1,000
1,000
0
0
0
0.310923
-0.310923
-0.118637
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0.422663
0.663603
0.188488
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0.310923
0.7558
0.014057
0.108697
0.096656
0.013247
0.016252
0.311001
7,643
train
H1
H14
1,000
1,000
0
0
0
-1.764632
1.764632
2.8807
2.896575
11.142064
11.561831
10.77511
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2.8807
0.004573
8.390147
4.959769
3.115101
10.89463
10.799787
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7,643
train
H0
H14
20
20
10
15
0
-0.356216
0.313035
1.003979
1.009254
3.465561
5.509143
3.005504
1.009254
1.003979
0.138093
1.018594
0.316308
0.097261
2.634008
2.351641
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7,643
train
H1
H14
20
20
10
0
15
0.530307
-0.542925
-0.186136
-0.186071
1.058478
2.337269
0.800036
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0.542925
0.505419
0.034622
0.203187
0.292894
0.120462
0.066069
0.566244
7,643
train
H0
H14
30
30
10
3.333333
10
0.57784
-0.56392
-0.944963
-0.943009
1.125666
2.52578
1.274073
-0.943009
0.944963
0.47065
0.889266
0.587409
0.316476
1.122011
1.243072
0.571938
7,643
train
H1
H14
30
30
10
6.666667
20
0.320879
-0.322127
-0.158413
-0.157285
0.140528
1.026698
0.198544
0.320879
0.322127
0.739533
0.024739
0.062885
0.103406
0.017827
0.041123
0.332471
7,643
train
H0
H14
50
50
10
2
8
1.556911
-1.544395
-1.957468
-1.993397
4.469228
5.511041
4.311146
1.556911
1.957468
0.115837
3.973633
2.995322
2.38618
3.779181
3.657993
1.556165
7,643
train
H1
H14
50
50
10
4
10
0.242535
-0.222199
-0.69721
-0.698801
1.524066
2.317932
1.251724
0.242535
0.69721
0.509094
0.488323
0.14026
0.04918
1.000306
0.919154
0.22071
7,643
train
H0
H14
75
75
10
12
10.666667
-2.329452
2.321924
2.109615
2.141037
5.2025
7.073397
5.484001
-2.329452
2.321924
0.020076
4.584039
5.087524
5.444843
1.720621
1.670279
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7,643
train
H1
H14
75
75
10
9.333333
8
-0.64025
0.630621
1.045208
1.050255
1.665908
1.855036
1.617748
-0.64025
1.045208
0.445359
1.103035
0.655306
0.39691
1.74823
1.668102
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7,643
train
H0
H14
100
100
10
9
11
1.535247
-1.537435
-1.346164
-1.348197
2.156825
4.759959
2.37097
1.535247
1.537435
0.121977
1.817636
2.099956
2.367101
0.612521
0.532509
1.546529
7,643
train
H1
H14
100
100
10
18
10
-2.774427
2.756358
2.730327
2.781328
7.920738
11.278609
8.083819
-2.774427
2.756358
0.005408
7.735784
7.725441
7.659284
4.295237
4.165521
-2.781647
7,643
train
H0
H14
150
150
10
8
8
0.196067
-0.19782
-0.081152
-0.080808
0.115739
0.164351
0.080077
0.196067
0.19782
0.842406
0.00653
0.034632
0.039089
0.010239
0.011137
0.198817
7,643
train
H1
H14
150
150
10
12.666667
8
-1.36637
1.331536
1.776977
1.788697
3.668409
4.301892
3.524747
-1.36637
1.776977
0.171637
3.199438
2.288786
1.772459
3.524237
3.473849
-1.338537
7,643
train
H0
H14
200
200
10
12.5
9.5
1.088312
-1.147579
-0.164696
-0.164521
3.600515
7.832264
4.682321
1.088312
1.147579
0.049609
0.027067
0.512294
1.318212
0.849078
0.945658
1.152733
7,643
train
H1
H14
200
200
10
8.5
9.5
-0.414617
0.368908
1.329135
1.344473
6.115003
7.816067
5.318008
1.344473
1.329135
0.04997
1.807609
0.497762
0.136011
4.52747
4.390874
-0.368034
7,643
train
H0
H14
300
300
10
10.333333
7.666667
-1.265121
1.233304
1.766646
1.770793
3.723418
3.777827
3.635129
1.770793
1.766646
0.162421
3.135707
2.108407
1.52102
3.660327
3.626234
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7,643
train
H1
H14
300
300
10
9
9.666667
0.166218
-0.198634
0.609268
0.611059
2.900772
2.84527
2.979069
0.611059
0.609268
0.225478
0.373393
0.014846
0.039452
1.843519
1.849849
0.200255
7,643
train
H0
H14
500
500
10
7.8
10
1.342984
-1.311248
-1.431416
-1.43132
2.162689
3.48902
2.070201
-1.43132
1.431416
0.188089
2.048678
2.076487
1.719329
1.327114
1.364137
1.316254
7,643
train
H1
H14
500
500
10
10.6
12.6
0.839236
-0.88761
-0.11875
-0.118801
2.450378
3.09153
2.768021
0.839236
0.88761
0.250572
0.014114
0.353248
0.787713
0.556281
0.567312
0.895301
7,643
train
H0
H14
1,000
1,000
10
10.2
9.2
0.556232
-0.636238
0.866975
0.868651
11.112251
11.988718
9.57038
0.556232
0.866975
0.007422
0.754554
0.033838
0.404757
4.99186
4.982625
0.638175
7,643
train
H1
H14
1,000
1,000
10
8.2
8.7
-0.254738
0.174129
1.975174
1.989303
16.660436
17.494541
15.5138
-0.254738
1.975174
0.000428
3.957324
0.698883
0.030327
11.793337
11.669731
-0.172758