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
27 values
n1
int64
20
1k
n2
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1k
perc
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0
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logrank_test
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0
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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0
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MIN3_test
float64
0
1
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0
84.2
WLg_TaroneWare_test
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0
99.4
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0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
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0
71.6
WKM_test
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7,643
train
H1
H25
300
300
40
41.333333
41
0.050863
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2.068085
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7,643
train
H0
H25
500
500
40
39.8
41.6
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1.099765
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1.099021
1.304099
1.380271
1.300738
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7,643
train
H1
H25
500
500
40
37.2
40.4
1.1547
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5.848878
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3.026418
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7,643
train
H0
H25
1,000
1,000
40
40.7
42.2
1.478246
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7,643
train
H1
H25
1,000
1,000
40
38.6
39.8
0.506051
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5.109154
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1.270936
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7,643
train
H0
H25
20
20
50
45
45
-0.117786
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1.027597
3.975087
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7,643
train
H1
H25
20
20
50
70
30
-2.429108
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2.445558
2.411548
5.882448
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0.006524
5.815563
5.841826
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3.162093
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7,643
train
H0
H25
30
30
50
46.666667
53.333333
0.50327
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2.216786
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7,643
train
H1
H25
30
30
50
43.333333
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7,643
train
H0
H25
50
50
50
50
54
0.948278
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7,643
train
H1
H25
50
50
50
48
48
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7,643
train
H0
H25
75
75
50
52
57.333333
0.706194
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7,643
train
H1
H25
75
75
50
49.333333
52
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0.294198
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0.292933
0.465586
0.086552
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0.250407
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7,643
train
H0
H25
100
100
50
53
59
0.777647
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3.346972
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1.055455
0.196271
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1.113753
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7,643
train
H1
H25
100
100
50
45
51
-1.06074
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0.395085
6.551067
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1.400303
0.040207
0.156092
1.134732
1.977137
1.289761
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7,643
train
H0
H25
150
150
50
51.333333
44
0.776746
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3.413113
3.788971
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0.776746
0.988137
0.198205
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7,643
train
H1
H25
150
150
50
49.333333
48.666667
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4.176547
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4.205567
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0.915905
0.122116
0.001678
0.331622
0.838009
1.437276
1.336377
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7,643
train
H0
H25
200
200
50
45.5
49
-0.190029
0.555091
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3.66969
12.765032
4.557698
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0.555091
0.005173
0.185673
0.001096
0.308598
2.254874
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7,643
train
H1
H25
200
200
50
51.5
54.5
0.3068
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0.114537
1.772386
0.093584
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0.294624
0.620962
0.0869
0.102555
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7,643
train
H0
H25
300
300
50
51.333333
51.666667
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0.387574
0.232161
0.232271
0.283851
0.478434
0.255679
0.232271
0.387574
0.675871
0.05395
0.130888
0.150395
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0.000226
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7,643
train
H1
H25
300
300
50
50
52
1.652685
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3.337693
5.587047
3.394964
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1.798528
0.133129
3.279308
2.782294
2.03258
2.734455
2.869619
1.501877
7,643
train
H0
H25
500
500
50
50.6
48.2
-0.75587
0.916313
0.390339
0.390019
1.795829
1.840507
1.785238
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0.916313
0.327382
0.152114
0.56942
0.840297
0.145845
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7,643
train
H1
H25
500
500
50
52.4
47.6
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1.902519
0.926925
0.928094
7.066791
7.61126
7.319274
0.928094
1.902519
0.025742
0.861358
2.337515
3.623966
0.478183
0.474299
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7,643
train
H0
H25
1,000
1,000
50
48.2
47.5
-0.588174
0.323962
1.040026
1.040652
2.899643
2.934914
2.901536
1.040652
1.040026
0.23439
1.082957
0.364027
0.10504
2.683199
2.690847
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7,643
train
H1
H25
1,000
1,000
50
51.1
51.8
0.754764
-0.463521
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4.358633
4.799265
4.206582
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1.236484
0.122054
1.529837
0.543714
0.214755
3.695825
3.681853
0.494448
7,643
train
H0
H26
20
20
0
0
0
1.595955
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3.309665
3.307954
3.313747
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1.767683
0.106032
3.307902
3.053301
2.577564
2.45446
2.502662
1.616287
7,643
train
H1
H26
20
20
0
0
0
-0.622152
0.622152
0.610037
0.603835
0.405392
0.614964
0.399356
0.603835
0.622152
0.528644
0.364617
0.417609
0.386202
0.187359
0.174421
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7,643
train
H0
H26
30
30
0
0
0
1.53758
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2.132554
4.579983
2.385458
1.53758
1.53758
0.121008
1.84553
2.133314
2.385006
0.652478
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1.550556
7,643
train
H1
H26
30
30
0
0
0
0.073922
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0.000568
0.831066
0.023581
0.073922
0.073922
0.842023
0.000001
0.000014
0.005449
0.015498
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0.074546
7,643
train
H0
H26
50
50
0
0
0
-1.116799
1.116799
0.869609
0.864138
1.59906
2.442764
1.301227
0.864138
1.116799
0.261682
0.746734
1.213386
1.246494
0.13441
0.230422
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7,643
train
H1
H26
50
50
0
0
0
-0.275753
0.275753
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1.635324
3.297899
0.970659
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0.275753
0.347935
0.040205
0.037853
0.075906
0.45858
0.348232
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7,643
train
H0
H26
75
75
0
0
0
0.336406
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0.197542
0.198707
1.184143
3.201963
1.208177
0.198707
0.336406
0.361522
0.039485
0.027339
0.113073
0.465591
0.547942
0.335275
7,643
train
H1
H26
75
75
0
0
0
-0.91525
0.91525
0.669275
0.676101
2.05322
12.950193
0.918593
-0.91525
0.91525
0.004746
0.457112
1.053043
0.839967
0.02686
0.089808
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7,643
train
H0
H26
100
100
0
0
0
-1.45626
1.45626
1.385665
1.385374
2.010746
3.04168
2.174755
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1.45626
0.144314
1.919261
1.989307
2.121918
0.920811
0.863195
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7,643
train
H1
H26
100
100
0
0
0
1.842315
-1.842315
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2.916897
5.725536
3.508217
1.842315
1.842315
0.064756
2.110668
2.802097
3.404721
0.448736
0.398091
1.846938
7,643
train
H0
H26
150
150
0
0
0
1.960735
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3.794346
9.601843
4.043204
1.960735
1.960735
0.022272
3.727438
3.752977
3.854558
1.928028
1.81381
1.964011
7,643
train
H1
H26
150
150
0
0
0
0.001331
-0.001331
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2.302892
2.596724
1.931446
0.001331
0.675471
0.380708
0.457738
0.038917
0.000002
1.433152
1.361358
0.001333
7,643
train
H0
H26
200
200
0
0
0
0.922031
-0.922031
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1.28511
1.290849
1.301256
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1.135644
0.35591
1.284794
1.145037
0.849901
1.05661
1.045027
0.923186
7,643
train
H1
H26
200
200
0
0
0
-1.543062
1.543062
1.185658
1.189307
3.697976
7.563865
2.48896
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1.543062
0.05594
1.414452
2.580352
2.386341
0.201711
0.281046
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7,643
train
H0
H26
300
300
0
0
0
-2.137924
2.137924
1.571648
1.57455
6.069584
7.449242
4.912015
1.57455
2.137924
0.032378
2.479206
4.406494
4.579766
0.260964
0.327042
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7,643
train
H1
H26
300
300
0
0
0
2.174192
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12.499494
14.533357
11.411823
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3.068388
0.002262
9.811467
6.195227
4.734116
11.139477
11.006501
2.176006
7,643
train
H0
H26
500
500
0
0
0
-0.282484
0.282484
-0.20018
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0.4362
0.432961
0.883195
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0.282484
0.643008
0.040002
0.000339
0.079786
0.393103
0.370854
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7,643
train
H1
H26
500
500
0
0
0
1.433878
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5.955798
11.452799
4.488679
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1.992341
0.009513
4.03915
2.144715
2.057589
4.388666
4.274841
1.434596
7,643
train
H0
H26
1,000
1,000
0
0
0
-0.543554
0.543554
0.905708
0.905758
1.419086
2.197335
1.057879
0.905758
0.905708
0.532473
0.820398
0.366639
0.295403
1.078837
1.051409
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7,643
train
H1
H26
1,000
1,000
0
0
0
0.927193
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2.101357
20.953353
1.027068
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1.004034
0.000108
1.017056
0.399881
0.86023
0.731078
0.678477
0.927425