Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach

Table 4

Statistical information on the various adapted DT algorithms.

	Decision tree algorithm	Accuracy	value	Kappa	No information rate
Dataset with all initial predictors	C5.0	1	2.2e − 16	1	0.4899
	C4.5	0.9412	2.2e − 16	0.9094	0.5076
	CART	0.8787	2.2e − 16	0.8078	0.4949
Dataset with the 13 predictors	C5.0	1	2.2e − 16	1	0.4646
	C4.5	0.9387	2.2e − 16	0.9038	0.4646
	CART	0.8131	2.2e − 16	0.7048	0.4949