In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches

Table 3

Classification results for four classifiers based on 360 and 9598 non-.

Classifier	Sensitivity (%)	Specificity (%)	Accuracy (%)	MCC	Correctly classified rate
GDBT	51.39	99.66	75.52	0.5828	0.9791
RF	41.39	99.86	70.63	0.5085	0.9775
libSVM	58.89	97.76	78.32	0.6148	0.9635
-NN	51.94	98.17	75.06	0.5651	0.9650