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Table 2 Machine learning experiment test results of gene expression and VCF data

From: A novel gene selection method for gene expression data for the task of cancer type classification

Dataset

Feature count

Accuracy

F-Score

Roc-Auc

FPR

MCC

FPKM all features

60483

99.46 ±0.42

99.46 ±0.42

99.45 ±0.50

0.40 ±0.31

99.09 ±0.71

VCF BM25-tf-rf

16383

93.70 ±1.02

93.62 ±1.07

93.26 ±1.27

3.60 ±0.71

89.31 ±1.76