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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