Diabetes prediction on women using data mining technique

The Pima Indian diabetes database (PIDD) was obtained from the UCI repository used for analysis. In this research, three machine learning classification algorithms, correspondingly Logistic Regression, Decision Tree and Random Forest have been accomplished. The performances of all three algorithms are estimated on various metrics. The final process has shown that Random Forest has the most perceptible results out of three algorithms when all the attributes were applied.