Table 3.

Accuracy metrics of train and test datasets for memory 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	0.001		0.003		0.001		0.003		0.001		-
	Train	Test	Train	Test	Train	Test	Train	Test	Train	test	Train	Test
Accuracy (%)	86.77	88.24	87.15	91.6	87.92	92.44	85.27	88.14	88.60	93.39	87.14	90.76
Sensitivity (%)	86.10	88.33	85.70	93.10	86.32	94.74	83.43	86.89	87.60	93.55	85.83	91.32
Specificity (%)	88.52	88.14	89.38	90.16	89.85	90.32	88.51	89.47	89.94	93.22	89.24	90.26
MCC (%)	74.08	76.46	74.69	83.24	75.87	84.98	71.25	76.31	77.33	86.76	74.64	81.55