[Retracted] Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods

Table 1

Performance of the optimum classifiers based on different classification algorithms.

Classification algorithm	Number of features	Overall accuracy	MCC
Decision tree	511	0.867	0.818
-nearest neighbor	183	0.882	0.845
Support vector machine	168	0.938	0.917
Random forest	565	0.923	0.896