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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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
WLg_Breslow_test
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0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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train
H1
H04
300
300
0
0
0
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7,647
train
H0
H04
500
500
0
0
0
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7,647
train
H1
H04
500
500
0
0
0
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7,647
train
H0
H04
1,000
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0
0
0
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7,647
train
H1
H04
1,000
1,000
0
0
0
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7,647
train
H0
H04
20
20
10
5
30
0.353235
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7,647
train
H1
H04
20
20
10
5
5
0.147634
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7,647
train
H0
H04
30
30
10
16.666667
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7,647
train
H1
H04
30
30
10
10
13.333333
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7,647
train
H0
H04
50
50
10
2
10
2.064889
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7,647
train
H1
H04
50
50
10
12
14
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7,647
train
H0
H04
75
75
10
6.666667
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7,647
train
H1
H04
75
75
10
14.666667
5.333333
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1.126637
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7,647
train
H0
H04
100
100
10
12
10
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3.066186
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7,647
train
H1
H04
100
100
10
17
9
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7,647
train
H0
H04
150
150
10
11.333333
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0.411369
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7,647
train
H1
H04
150
150
10
6
8.666667
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5.106387
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7,647
train
H0
H04
200
200
10
7.5
13.5
0.627352
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7,647
train
H1
H04
200
200
10
10.5
13.5
0.15649
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7,647
train
H0
H04
300
300
10
6
9.666667
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7,647
train
H1
H04
300
300
10
9.666667
11.333333
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7,647
train
H0
H04
500
500
10
7.8
9.6
1.132749
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0.071357
1.709058
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7,647
train
H1
H04
500
500
10
14
11.8
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10.233968
10.093503
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3.214977
0.001174
8.622026
10.004321
10.359393
3.170526
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7,647
train
H0
H04
1,000
1,000
10
10.2
10.7
2.153101
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5.062206
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2.20623
0.031716
4.882299
4.943785
4.537516
2.8599
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7,647
train
H1
H04
1,000
1,000
10
9.8
10.3
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0.074483
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0.163578
0.922408
0.026727
0.007498
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7,647
train
H0
H04
20
20
20
5
25
0.522595
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0.378304
2.571264
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0.504634
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0.288669
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7,647
train
H1
H04
20
20
20
25
20
-0.821056
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0.92667
0.879382
0.8758
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0.929392
0.430719
0.858717
0.734345
0.610949
1.029602
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7,647
train
H0
H04
30
30
20
13.333333
20
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1.646348
1.698352
1.774639
3.189144
3.222718
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1.698352
0.092986
3.149345
3.023635
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7,647
train
H1
H04
30
30
20
6.666667
6.666667
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0.833703
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0.73487
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0.867254
0.383964
0.691378
0.7214
0.749877
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7,647
train
H0
H04
50
50
20
26
24
-0.007837
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0.359243
0.357471
0.667293
1.909757
0.843571
0.357471
0.359243
0.591347
0.127785
0.018184
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0.684556
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7,647
train
H1
H04
50
50
20
20
22
1.312577
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2.282842
2.836949
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1.32956
0.177703
0.956436
1.559956
1.770701
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1.347862
7,647
train
H0
H04
75
75
20
26.666667
14.666667
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1.682654
1.851063
1.85242
3.431742
3.550803
3.434813
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1.851063
0.088096
3.431459
3.179647
2.834477
2.500937
2.540256
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7,647
train
H1
H04
75
75
20
20
20
0.044332
0.011909
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2.285572
3.092745
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0.603406
0.367479
0.361806
0.036781
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1.297085
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7,647
train
H0
H04
100
100
20
16
20
-0.402139
0.472312
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0.806626
2.102594
1.115399
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0.472312
0.551388
0.001664
0.054054
0.222863
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0.342905
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7,647
train
H1
H04
100
100
20
25
23
-0.677364
0.707688
0.426179
0.424362
0.476458
4.423776
0.758588
0.424362
0.707688
0.219191
0.180083
0.273435
0.500538
0.000027
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7,647
train
H0
H04
150
150
20
24
18.666667
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0.769758
0.87922
0.875844
0.78092
1.057626
0.769331
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0.87922
0.432158
0.767102
0.649473
0.592274
0.661311
0.639748
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7,647
train
H1
H04
150
150
20
21.333333
21.333333
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2.178353
1.447368
1.449844
5.658427
6.497539
6.037967
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2.178353
0.026468
2.102048
3.662859
4.761953
0.018666
0.020037
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7,647
train
H0
H04
200
200
20
20
23
0.529428
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5.804364
5.640001
5.770407
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1.379105
0.055843
1.923962
0.645025
0.170386
4.799523
4.637579
0.414848
7,647
train
H1
H04
200
200
20
21.5
22.5
-1.583531
1.631279
1.12892
1.128635
3.265918
3.565207
3.206462
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1.631279
0.098462
1.273818
2.265881
2.66428
0.035949
0.024521
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7,647
train
H0
H04
300
300
20
20.333333
23
-0.460664
0.46998
0.415743
0.416237
0.201084
0.662086
0.212503
0.416237
0.46998
0.632318
0.173253
0.218271
0.220806
0.07508
0.063543
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7,647
train
H1
H04
300
300
20
18.333333
19
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2.414256
1.701746
1.708154
5.91522
9.640526
6.617539
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2.414256
0.014626
2.917792
4.615748
5.843744
0.164337
0.143284
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7,647
train
H0
H04
500
500
20
19
19.6
1.303949
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3.106759
3.813464
2.532625
1.303949
1.353198
0.170572
0.670277
1.639301
1.831342
0.000534
0.001036
1.370368
7,647
train
H1
H04
500
500
20
17.4
20.6
-0.510577
0.567868
0.034223
0.034195
0.936258
1.556385
1.344937
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0.567868
0.510447
0.001169
0.08725
0.322515
0.320123
0.321131
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7,647
train
H0
H04
1,000
1,000
20
19.1
20.5
-0.41516
0.38168
0.58798
0.587983
0.458155
0.489034
0.43307
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0.58798
0.698415
0.345724
0.201332
0.145667
0.4513
0.442684
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7,647
train
H1
H04
1,000
1,000
20
21
21.3
-3.91793
4.046128
2.698376
2.704913
20.24929
20.628454
20.266189
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4.046128
0.00004
7.316552
13.437087
16.413171
0.075307
0.07769
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