Table 3.

GenomeForest Performance Measures Using Methylomics Data by Leave-One-Out Cross Validation

Experiment Name	topN	Ranking Metric Name	Scoring Metric Name	Accuracy	Sensitivity	Specificity	Precision	F1 Score	MCC
TMM + GenomeForest	23	Accuracy	Accuracy	0.870	0.929	0.800	0.848	0.886	0.740
qNorm + GenomeForest	22	F1 Score	F1 Score	0.909	0.929	0.886	0.907	0.918	0.817
vNorm + GenomeForest	22	F1 Score	F1 Score	0.909	0.929	0.886	0.907	0.918	0.817
TMM + GLM + GenomeForest	2	Specificity	Voting	0.831	0.881	0.771	0.822	0.851	0.659
qNorm + GLM + GenomeForest	7	AUC	AUC	0.818	0.810	0.829	0.850	0.829	0.636
vNorm + GLM + GenomeForest	1	F1 Score	F1 Score	0.792	0.810	0.771	0.810	0.810	0.581