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Table 4 Average AUC scores of RF, XGB, and LR models trained on methylation data, estimated using 10 runs of 5-fold cross validation

From: Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data

# Features

RF

XGB

LR

10

0.52

0.51

0.50

20

0.51

0.52

0.50

30

0.52

0.52

0.49

40

0.52

0.53

0.50

50

0.52

0.53

0.51

60

0.52

0.53

0.52

70

0.53

0.54

0.51

80

0.53

0.54

0.52

90

0.53

0.55

0.52

100

0.53

0.55

0.52

Max

0.53

0.55

0.52

Avg.

0.52

0.53

0.51