Table 8.

Performances comparison of the proposed method with previous methods on the diabetes dataset.

Reference	Method	Accuracy (%)	p-Value
[9]	LANFIS	88.05	0.87
[26]	SM-Rule-Miner	89.87	0.92
[10]	TSHDE	91.91	0.21
[11]	C4.5 algorithm	92.38	0.69
[12]	Modified K-Means Clustering +SVM (10-FC)	96.71	0.07
[56]	Support Vector Machine	97.14	0.06
[57]	Artificial Neural Network (ANN)	82.35	1.23
[58]	SBNN + PSO + ALR	88.75	0.31
[59]	DPM	96.74	0.08
[60]	DNN	95.6	0.09
[13]	BN	99.51	0.06
	DT(ID3) + DT	99 (Hold out)	0.04
Our study	DT(ID3) + DT	99.8 (K-fold)
	DT(ID3) + DT	99.9 (LOSO)