Predictive Model for Diagnosis of Gestational Diabetes in the Kurdistan Region by a Combination of Clustering and Classification Algorithms: An Ensemble Approach

Table 5

Classification accuracy and each technique of the proposed model comparison.

	Algorithms	Accuracy of each classification algorithm (fitting the origin data) (%)	Accuracy of each classification algorithm (proposed model) (%)	Ensemble technique(proposed model) (%)
1	Decision tree	81	92	92
2	Random forest	83	92
3	SVM	86	90
4	KNN	89	92
5	Logistic regression	85	90
6	Naïve Bayes	85	92