A Framework for Prediction of Response to HCV Therapy Using Different Data Mining Techniques

Table 5

Performances of 6 iterations of DT with selected features.

DT number	Number of nodes	Number of pruning levels	TP	TN	Positive predictive value %	Negative predictive value %	Sensitivity %	Specificity %	AUC %	Accuracy %
DT1	45	11	7	27	35.3	84.8	54.5	71.1	62.8	68
DT2	51	9	7	28	38.9	87.5	60	71.8	66.9	70
DT3	45	13	10	26	55.6	81.25	60	76.5	68.2	72
DT4	53	17	8	28	44.4	90.6	70	74.4	72.2	74
DT5	47	11	8	30	44.4	93.8	77.8	75	78.4	76
DT6	61	11	8	32	47.0	97.0	88.9	77.5	83.2	80
Average			8	29	44.27	89.16	68.53	74.38	71.95	73.33