[db3ceb]: / data / Train.csv

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# CN[>8] E:LL:9+:BB AFP L:LL:9+:BB CNCP[3] cna_burden CA19-9 CN[2] batch lable HRDCNAScore CNAfingerprint
1 5 1 4.2 2 1 1 2000 0 train 0 0.006351502 0.148315459
2 3 3 2.06 0 2 0.987 0 4 train 1 0.001394554 0.290034503
3 0 0 3.25 0 0 1 2000 0 train 1 0.001394554 0.522031605
4 0 0 4.13 0 2 1 34.1 0 train 0 0.001394554 0.687442124
5 0 0 1.7 0 1 0.91 3.6 4 train 1 0.001394554 0.816093445
6 0 0 2.96 0 0 1 24.5 0 train 0 0.001394554 0.535039485
7 0 0 2.79 0 0 0.943 0 2 train 1 0.001394554 0.63419199
8 3 2 5.81 1 1 1 85.2 0 train 1 0.001394554 0.164100438
9 4 0 3.67 2 6 0.829 48.5 26 train 1 0.043257761 0.783920944
10 5 1 0 1 1 0.887 25.62 3 train 0 0.001394554 0.380075693
11 25 12 1.7 4 5 1 152.8 0 train 0 0.003187425 0.117811546
12 3 0 5.42 2 1 0.517 13 26 train 1 0.053424507 0.75898689
13 24 2 0 7 5 1 505.9 0 train 0 0.005927259 0.172082588
14 5 3 2.35 2 0 0.897 1000 7 train 0 0.001394554 0.251286924
15 0 0 1.58 0 0 1 55.6 0 train 1 0.001394554 0.776594102
16 4 3 4.78 1 0 1 39.32 0 train 0 0.001394554 0.110286973
17 1 0 2.47 0 1 0.949 6.14 5 train 0 0.001394554 0.715306103
18 0 0 0 0 0 1 0 0 train 1 0.001394554 0.785189271
19 14 4 5.23 2 8 1 31.57 0 train 0 0.003493473 0.091716133
20 2 2 5.01 0 0 1 6.36 0 train 1 0.001394554 0.460739374
21 0 0 3.09 0 2 0.308 1000 26 train 1 0.001394554 0.763963163
22 8 5 1.77 3 14 1 88.58 0 train 0 0.003284733 0.117811546
23 5 0 1.34 4 15 0.961 94.44 15 train 1 0.09717184 0.741826296
24 0 0 3.22 0 0 1 1000 0 train 1 0.001394554 0.522031605
25 0 0 7.34 0 4 1 1000 1 train 1 0.001394554 0.648962438
26 2 2 5.9 0 4 0.966 16.45 4 train 1 0.001394554 0.542552829
27 10 4 2.16 2 10 1 970.2 0 train 0 0.003187425 0.117811546
28 0 0 2.16 0 0 1 193.8 0 train 1 0.001394554 0.74204433
29 17 6 2.84 4 21 1 28.77 1 train 0 0.029923782 0.080769911
30 8 5 1.87 1 2 1 1.3 0 train 0 0.001394554 0.138001129
31 0 0 2.88 0 0 1 1000 0 train 1 0.003235931 0.665387928
32 2 1 1.76 0 2 1 35.3 1 train 0 0.003235931 0.554360509
33 0 0 0.98 0 0 1 21.77 0 train 1 0.001394554 0.776594102
34 0 0 1.95 0 0 1 51.14 0 train 1 0.001394554 0.777647853
35 1 0 1.18 1 0 0.966 66.5 4 train 0 0.001394554 0.760737062
36 0 0 4.45 0 7 0.766 16.18 20 train 1 0.003496092 0.857691586
37 4 0 3.12 2 6 0.932 10.91 7 train 1 0.01390351 0.654835403
38 1 0 3.3 1 0 1 12.67 0 train 1 0.001394554 0.534160733
39 0 0 1.35 0 0 0.889 44.54 10 train 1 0.001394554 0.841225147
40 19 4 1.82 6 13 1 34.28 0 train 0 0.614339645 0.117811546
41 7 2 1.33 4 22 0.923 1000 16 train 0 0.6447438 0.282098174
42 2 1 1.25 0 30 0.986 7.84 4 train 1 0.003235931 0.691334546
43 0 0 5.63 0 5 0.919 29.97 2 train 1 0.001394554 0.70600456
44 3 3 2.19 0 15 0.899 8.63 10 train 0 0.001394554 0.369474232
45 4 4 1.74 0 0 1 210 0 train 0 0.001394554 0.2744928
46 10 5 6.19 0 28 0.991 5.69 6 train 0 0.027969923 0.191082969
47 0 0 2.81 0 7 0.829 28.23 4 train 1 0.001394554 0.777138889
48 1 0 2.27 1 4 0.866 19.8 20 train 1 0.001394554 0.908340812
49 10 4 3.59 2 0 0.986 413.2 3 train 0 0.001394554 0.093227774
50 12 4 2.29 1 6 1 365.1 0 train 0 0.551805012 0.132132694
51 1 1 1.95 0 2 1 14.41 1 train 1 0.001394554 0.650615573
52 0 0 2.67 0 0 0 11.44 22 train 0 0.001394554 0.605403125
53 1 0 1.99 1 1 0.92 84.05 12 train 1 0.002989232 0.878322244
54 0 0 1.54 0 0 1 8.47 0 train 1 0.001394554 0.786213636
55 7 4 4.16 2 8 0.959 334.2 4 train 0 0.00522458 0.103130944
56 3 3 2.32 0 2 1 143.1 0 train 1 0.001394554 0.333588243
57 11 2 1.6 1 2 0.998 3.82 3 train 0 0.001365864 0.183552742
58 5 4 4.01 0 4 0.999 136.5 1 train 0 0.003285284 0.195141941
59 4 0 4.86 4 6 0.709 736 17 train 0 0.001394554 0.602727473
60 0 0 1.77 0 0 1 46.75 0 train 1 0.001394554 0.805464089
61 6 3 3.02 3 4 0.938 11.81 4 train 0 0.001394554 0.13577956
62 1 0 2.22 1 0 0.004 11.25 24 train 1 0.001394554 0.868460119
63 3 1 4.48 2 13 1 27.44 1 train 0 0.005608468 0.182003245
64 0 0 1.53 0 0 0 11.65 22 train 1 0.001394554 0.780888855
65 10 5 4.36 2 8 1 250.4 1 train 0 0.016038351 0.084998898
66 0 0 0 0 0 0 0 22 train 1 0.001394554 0.780888855
67 4 3 1.4 1 3 0.749 49.43 12 train 1 0.001394554 0.564353287
68 0 0 3.1 0 0 1 54.56 0 train 0 0.001394554 0.535039485
69 3 1 2.68 1 5 0.994 227.2 3 train 0 0.001394554 0.25766927
70 9 1 1.85 5 7 1 3.84 0 train 0 0.001394554 0.190255746
71 1 1 2.25 0 2 0.92 68.89 18 train 1 0.003235931 0.814887047
72 0 0 3.34 0 0 1 150.1 0 train 0 0.001394554 0.563892186
73 3 1 3.86 2 3 0.837 30.41 13 train 0 0.003235931 0.626993656
74 5 4 0 1 5 0.93 0 2 train 0 0.001394554 0.18006517
75 1 1 4.57 0 2 0.816 32 14 train 1 0.001394554 0.743840873
76 5 1 0 2 1 0.986 0 1 train 0 0.001394554 0.19835642
77 0 0 2.34 0 0 0 9.42 22 train 1 0.001394554 0.780888855
78 3 3 0 0 1 0.861 313.3 8 train 1 0.001394554 0.507146299
79 4 0 1.37 3 4 0.796 13.62 11 train 1 0.001394554 0.850536704
80 0 0 2.01 0 0 1 18.06 0 train 1 0.001394554 0.777647853
81 2 2 2.69 0 1 1 30.96 0 train 0 0.001394554 0.490009397
82 4 1 3.11 3 0 1 31.36 0 train 0 0.001394554 0.157132864
83 5 1 4.08 3 17 0.979 18.67 3 train 0 0.002849457 0.136958256
84 0 0 4.4 0 0 1 45.71 1 train 0 0.001394554 0.543549538
85 1 1 5.12 0 2 0.881 15.66 10 train 1 0.001394554 0.693366587
86 0 0 5.76 0 0 0 63.2 22 train 0 0.001394554 0.562712014
87 0 0 5.77 0 0 1 65.5 0 train 0 0.001394554 0.535039485
88 1 0 2.02 1 2 1 1000 0 train 1 0.001394554 0.664768457
89 0 0 2.74 0 0 0 89.75 22 train 0 0.001394554 0.542930841
90 3 3 1.46 0 0 1 354.7 0 train 0 0.001394554 0.302417755
91 9 3 3.39 6 19 0.921 12.85 10 train 0 0.003187425 0.133943468
92 9 2 1.96 3 1 0.997 250.9 1 train 0 0.001394554 0.124010943
93 3 1 2.37 1 3 0.672 5.31 22 train 1 0.004767623 0.815450072
94 3 1 3.31 1 5 0.947 3.89 6 train 1 0.001394554 0.338389397
95 6 0 1.87 3 5 0.916 8.18 8 train 1 0.001394554 0.739910126
96 5 3 0.87 2 0 0.88 46.36 5 train 0 0.001394554 0.15947035
97 2 1 2.7 1 0 0.983 16.58 1 train 0 0.001394554 0.295909554
98 0 0 3.45 0 0 1 72.28 0 train 0 0.001394554 0.611201108
99 6 2 2.58 4 15 0.856 110.4 17 train 1 0.016038351 0.513475299
100 0 0 2.22 0 0 1 59.78 0 train 1 0.001394554 0.782043695