Clinical Decision Support System for Diabetic Patients by Predicting Type 2 Diabetes Using Machine Learning Algorithms

Table 2

Accuracy of different classification algorithms with the raw dataset.

Classification techniques	Accuracy (%)
K-nearest neighbor	76.62
Decision tree	78.02
Random forest	75.20
Support vector machine	77.27
Naïve Bayes	75.97
Histogram-based gradient boosting	79.88