Table 4.

Accuracy metrics of train and test datasets for learning model. The optimum γ parameter value of kernel function of SVM was chosen using a grid-search technique based on five-fold cross-validation.

	Dataset 1		Dataset 2		Dataset 3		Dataset 4		Dataset 5		Average
γ	0.003		0.003		0.003		0.003		0.003		-
	Train	Test	Train	Test	Train	Test	Train	Test	Train	test	Train	Test
Accuracy (%)	85.30	88.43	86.76	87.6	86.96	88.33	84.27	89.17	87.78	87.5	86.21	88.2
Sensitivity (%)	83.15	86.15	84.19	83.82	84.28	84.85	81.09	85.07	85.74	85.71	83.69	85.12
Specificity (%)	88.63	91.07	90.05	92.45	90.67	92.59	89.37	94.34	90.36	89.47	89.81	91.98
MCC (%)	71.19	77.01	73.89	75.69	74.43	77.05	69.50	78.87	75.83	75.09	72.96	76.74