Table 1.

Comparison between performance of lncRNA classifiers

Classifier	Accuracy	Sensitivity	Specificity	Precision	Area under the precision-recall curve	Area under the ROC curve
Our classifier	0.9972	0.9898	0.9989	0.9952	0.9996	0.9999
COME	0.9285	0.9639	0.9202	0.7391	0.9965	0.9859
CPAT	0.8661	0.9624	0.8436	0.5905	0.9906	0.9620
CPC	0.7487	0.9865	0.6930	0.4296	0.9895	0.9585
HMMER	—	—	—	—	0.9842	0.9326
lncScore	0.9374	0.9463	0.9353	0.7742	0.9949	0.9808
PhyloCSF	0.6079	0.8675	0.5471	0.4566	0.9689	0.8891
PLEK	0.7120	0.9069	0.6664	0.5446	0.9640	0.8586

For the computation of each performance metric, we considered lncRNAs as the positive class and coding transcripts as the negative class.