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
int64
20
1k
perc
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0
50
real_perc1
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95
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logrank_test
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
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0
143
BN_SCE_test
float64
0
114
Q_test
float64
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MAX_Value_test
float64
0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
0
99.4
WLg_Breslow_test
float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
float64
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10.7
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
H0
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train
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train
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train
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train
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train
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
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train
H1
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train
H0
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train
H1
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H0
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train
H1
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train
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train
H1
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train
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train
H1
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train
H0
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train
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train
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train
H1
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train
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train
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train
H0
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train
H1
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train
H0
H29
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7,644
train
H1
H29
300
300
30
32.333333
32
0.587352
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0.312831
4.819933
19.979464
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0.000171
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2.479501
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7,644
train
H0
H29
500
500
30
28.2
28
-0.166208
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0.43694
0.436601
0.684523
0.764966
0.622933
0.436601
0.43694
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0.040368
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7,644
train
H1
H29
500
500
30
32
30.2
2.464797
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10.218471
21.517215
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2.464797
2.717595
0.000082
1.837642
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7.415859
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2.790862
7,644
train
H0
H29
1,000
1,000
30
29
28.2
0.301609
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0.075532
1.04024
1.010985
1.075284
0.075532
0.383001
0.584124
0.005705
0.044838
0.146673
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0.389496
7,644
train
H1
H29
1,000
1,000
30
32.8
29.4
2.078445
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19.287288
32.985177
24.753838
2.078445
2.525518
0
0.119512
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7,644
train
H0
H29
20
20
40
35
20
-0.042466
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0.272916
1.072266
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0.008244
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7,644
train
H1
H29
20
20
40
50
35
-0.607285
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1.218257
1.253554
8.655535
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1.253554
1.218257
0.013074
1.571398
0.572596
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5.76145
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7,644
train
H0
H29
30
30
40
40
40
0.596949
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0.437341
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0.422743
0.376061
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7,644
train
H1
H29
30
30
40
46.666667
40
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0
0.651358
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1.639214
1.650624
1.606643
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0.447839
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0
1.583159
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7,644
train
H0
H29
50
50
40
42
48
1.1205
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2.237931
2.315858
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1.1205
1.292263
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1.26757
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1.339332
7,644
train
H1
H29
50
50
40
40
42
1.755271
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3.362376
3.679377
3.428619
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1.820271
0.059983
2.418303
2.997598
3.331287
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1.880919
7,644
train
H0
H29
75
75
40
48
32
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2.615743
2.650522
7.026879
10.345211
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2.615743
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7.025266
6.917167
5.832191
5.111421
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7,644
train
H1
H29
75
75
40
26.666667
48
2.878272
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8.055554
16.162846
8.348235
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2.836881
0.00105
7.493006
7.554259
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3.505165
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2.901666
7,644
train
H0
H29
100
100
40
35
44
0.863134
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0.830186
3.703585
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0.295302
0.824837
0.935584
0.7272
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7,644
train
H1
H29
100
100
40
38
35
-0.386461
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1.388518
6.03277
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0.767413
0.768429
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0.588923
0.28525
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1.494877
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7,644
train
H0
H29
150
150
40
40.666667
36
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1.531086
1.598888
1.60579
2.617466
2.614647
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1.598888
0.115175
2.578562
2.526669
2.346605
1.682599
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7,644
train
H1
H29
150
150
40
42
46
2.28174
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11.290156
13.160923
11.977217
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2.684803
0.002507
2.004638
4.722645
7.23257
0.171237
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2.797483
7,644
train
H0
H29
200
200
40
43
37
-1.925157
1.890535
1.875534
1.879005
3.740939
3.754076
3.731088
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1.890535
0.051943
3.530662
3.787413
3.576405
1.809511
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7,644
train
H1
H29
200
200
40
44
41.5
2.267377
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5.790419
9.339165
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2.404279
0.011931
3.683986
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5.815062
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2.514167
7,644
train
H0
H29
300
300
40
43.333333
42
0.81261
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2.728871
3.639106
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0.81261
1.002418
0.231991
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1.005707
0.364256
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1.029613
7,644
train
H1
H29
300
300
40
41.666667
37.333333
1.672689
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13.106074
13.65647
13.882079
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2.068201
0.000967
0.308027
2.143852
4.289775
2.018324
1.91674
2.134631
7,644
train
H0
H29
500
500
40
40.8
39.2
-0.12639
0.158566
0.063783
0.063741
0.04318
0.224159
0.052435
0.063741
0.158566
0.870499
0.004063
0.014785
0.025136
0.001665
0.003804
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7,644
train
H1
H29
500
500
40
39.4
40.8
2.933437
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16.941934
33.093856
19.665607
2.933437
3.38598
0
3.080389
6.96072
11.512633
0.335975
0.378094
3.504685
7,644
train
H0
H29
1,000
1,000
40
41.9
40.2
-0.718959
0.866219
0.427173
0.427202
0.940402
8.144561
1.304799
0.427202
0.866219
0.043117
0.182501
0.366029
0.75036
0.044298
0.050103
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7,644
train
H1
H29
1,000
1,000
40
39.6
40
4.351488
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36.571277
62.274815
42.888798
4.351488
5.05757
0
6.587124
15.566452
25.67615
0.789572
0.8299
5.245616
7,644
train
H0
H29
20
20
50
40
25
-0.089141
0.088049
0.337098
0.33946
0.696782
1.543741
0.786411
0.33946
0.337098
0.672212
0.115233
0.054222
0.007732
0.695268
0.737544
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7,644
train
H1
H29
20
20
50
55
50
-0.011501
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0.295608
0.294124
2.044371
3.299712
2.111839
0.294124
0.295608
0.347683
0.086509
0.00913
0.009205
1.276957
1.27846
0.076339
7,644
train
H0
H29
30
30
50
60
53.333333
-0.874048
0.87913
0.854604
0.868485
0.76913
0.840819
0.770673
0.868485
0.87913
0.3576
0.754266
0.784303
0.770525
0.710391
0.722112
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7,644
train
H1
H29
30
30
50
56.666667
60
1.561094
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3.648121
5.080117
3.724037
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1.724735
0.060788
1.863283
2.410008
2.936175
0.109558
0.109334
1.875034
7,644
train
H0
H29
50
50
50
58
50
-0.732407
0.697379
0.718703
0.7169
0.526636
1.629525
0.536548
0.7169
0.718703
0.466501
0.513945
0.458729
0.486353
0.395018
0.372549
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7,644
train
H1
H29
50
50
50
56
50
0.137264
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0.383835
0.381404
3.582057
3.623432
3.538882
0.381404
0.516455
0.170428
0.145469
0.040671
0.261435
1.977972
1.849289
0.558796
7,644
train
H0
H29
75
75
50
60
48
-1.10761
1.294778
0.810929
0.816276
2.618053
2.648304
2.615482
0.816276
1.294778
0.176203
0.666307
1.272152
1.676076
0.009486
0.009377
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7,644
train
H1
H29
75
75
50
52
52
2.089951
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8.510283
9.049945
8.335276
2.089951
2.393006
0.011536
2.567375
4.643609
5.799764
0.056722
0.080848
2.526028
7,644
train
H0
H29
100
100
50
53
53
-0.761592
0.816169
0.744189
0.747697
0.588513
0.890712
0.582166
-0.761592
0.816169
0.400883
0.559051
0.64628
0.66676
0.381672
0.391175
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7,644
train
H1
H29
100
100
50
37
56
3.164591
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9.884215
14.014266
10.087729
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3.1487
0.000962
9.282656
9.553411
9.977596
4.377025
4.365194
3.301555
7,644
train
H0
H29
150
150
50
52
42
-1.141631
0.933299
1.343404
1.339669
1.954254
5.186692
2.0749
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1.343404
0.158626
1.794712
1.410027
0.870258
2.112926
2.191092
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7,644
train
H1
H29
150
150
50
48.666667
48.666667
1.537218
-1.921147
-0.86937
-0.869953
8.464756
8.678181
8.556238
1.537218
1.921147
0.013869
0.756818
2.306403
3.698098
0.443713
0.438054
1.99376
7,644
train
H0
H29
200
200
50
48
53.5
1.780205
-1.853586
-1.584424
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3.561617
3.68437
3.585488
-1.585451
1.853586
0.055934
2.513656
3.146752
3.441453
0.564086
0.550203
1.911553
7,644
train
H1
H29
200
200
50
50.5
44.5
1.954614
-2.635361
-0.756665
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19.437402
23.708337
20.554887
1.954614
2.635361
0.000029
0.577098
3.60655
6.999915
2.305289
2.456192
2.75596
7,644
train
H0
H29
300
300
50
49
52.333333
0.559678
-0.171793
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5.613796
6.25114
5.424596
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1.105997
0.066384
1.224823
0.241289
0.029503
4.218941
4.110312
0.180572
7,644
train
H1
H29
300
300
50
48.666667
49
1.666753
-2.251631
-0.605666
-0.605319
16.147952
16.248127
16.449556
-0.605319
2.251631
0.000268
0.366411
2.67341
5.071269
2.450221
2.376191
2.349298
7,644
train
H0
H29
500
500
50
51.6
48.2
-1.345381
1.364639
1.293704
1.293592
1.795838
2.068191
1.811763
1.293592
1.364639
0.155552
1.673381
1.827864
1.862751
0.806906
0.77372
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7,644
train
H1
H29
500
500
50
52
54
3.546223
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-2.826898
18.514433
29.68454
19.522407
3.546223
4.038801
0.000002
7.991352
12.515063
16.389125
0.395329
0.393614
4.239219
7,644
train
H0
H29
1,000
1,000
50
51
49.3
-0.928265
0.750888
1.185554
1.185072
2.196006
2.479059
2.130982
-0.928265
1.185554
0.344559
1.404395
0.814338
0.563818
2.197924
2.167483
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7,644
train
H1
H29
1,000
1,000
50
50
50
5.140338
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-3.177967
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62.368397
109.516506
69.616408
5.140338
6.408725
0
10.203885
25.23571
41.392297
1.336341
1.395653
6.727901