Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects

Table 21

Decision table for experimental scenario 3.

Datasets	Evaluation measurements
	Specificity	Precision	Recall	F-measure	G-measure	MCC	Accuracy
AR1	J48	CDT, HT, REP-T	CS-Forest	CDT, HT, REP-T	J48	J48	CDT, REP-T
AR3	DS	CDT	RF	RF	DS	RF	RF
CM1	RF	DS, HT	CS-Forest	DS, HT	RF	CS-Forest	DS, HT
KC2	LMT	LMT	CS-Forest	LMT	LMT	CS-Forest	LMT
KC3	DS	DS	CDT	DS	CDT	DS	CDT, DS
MW1	LMT	HT	CS-Forest	LMT	LMT	LMT	LMT
PC1	Forest-PA	DS, HT	CS-Forest	RF	Forest-PA	RF	RF
PC2	CS-Forest	Seven techniques	CS-Forest	Seven techniques	CS-Forest	CS-Forest	Seven techniques
PC3	RF	DS, HT	CS-Forest	RF	RF	CS-Forest	RF
PC4	J48	J48	CS-Forest	J48	CS-Forest	J48	RF