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

Table 4

The comparison of the calculated distance between the new sample and each cluster by Mahalanobis and the Euclidean distance.

Features	Cluster 1		Cluster 2		Cluster 3
	MD	ED	MD	ED	MD	ED
Age	1.32	13.62	10.76	33.16	40.95	27.83
BMI	1.40	15.31	0.29	12.25	2.56	16.13
Pregnancy no.	0.43	7.91	3.21	17.68	7.96	28.02
Heredity	0.05	3.87	0.24	7.34	1.40	7.21
Distance	1.79	22.31	3.81	40.66	7.27	42.85