BMC Bioinformatics

Table 1 The performance of different ML models and single omics dataset for COVID-19 detection

From: Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis

Model	DNA methylation						RNA-seq
	Without PCA			With PCA			Without PCA			With PCA
	AUC	Accuracy	F1-score	AUC	Accuracy	F1-score	AUC	Accuracy	F1-score	AUC	Accuracy	F1-score
SVM	0.63	0.59	0.67	0.54	0.81	0.89	0.63	0.59	0.67	0.95	0.98	0.98
RF	0.72	0.87	0.93	0.74	0.88	0.93	0.72	0.87	0.93	0.85	0.94	0.97
LR	0.79	0.90	0.93	0.82	0.91	0.95	0.79	0.91	0.95	0.95	0.98	0.98
KNN	0.51	0.30	0.27	0.61	0.56	0.64	0.51	0.30	0.27	0.93	0.89	0.92
RUS	0.75	0.87	0.92	0.81	0.87	0.92	0.75	0.87	0.92	0.93	0.94	0.96
MLP	0.54	0.61	0.62	0.88	0.93	0.93	0.54	0.61	0.62	0.99	0.98	0.98

Bold indicates best performing model

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ISSN: 1471-2105

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