Table 4.

Performance evaluation metrics of eight classifiers for reduced dataset generated by proposed approach consisting of PL+ and PL- molecules based on 10-fold cross validation.

Classifiers	Sensitivity	Specificity	Accuracy	AUC	MCC
Navie Bayes	85.3	70.6	77.9	0.846	0.565
SMO	81.4	68.6	75.0	0.750	0.504
IBK	87.3	87.3	87.3	0.811	0.745
RARF	88.2	84.3	86.3	0.925	0.726
PART	71.6	72.5	72.1	0.778	0.441
JRip	74.5	80.4	77.5	0.811	0.550
RandomForest	84.3	84.3	84.3	0.915	0.686
J48	74.5	75.5	75.0	0.752	0.500