A Novel Architecture for Diabetes Patients’ Prediction Using K-Means Clustering and SVM

Table 4

Performance evaluation of several classification methods.

Method used	Accuracy	Precision	Recall	F1-score
Decision tree	70.77	67	69	67.5
Random forest	78.57	75	72.5	73.5
Kernel SVM	79.22	76	72.5	74
Naive Bayes	79.22	75.5	74.5	74.5
KNN	79.87	76.5	75.5	75.5
Logistic regression	82.46	80	77	78
SVM	82.46	80	77	78
Proposed approach	98.7	98.6	96.8	97.5