Algorithm 5: Proposed method for Diabetes detection.

1 Begin

2 Preprocessing of the Dataset using Different Statistical Techniques

3 Feature selection using DT (ID3) algorithm;

4 Using hold out, k folds and LOSO cross validation techniques for tuning hyper parameters and best model selection

5 Classification of diabetes and healthy people using DT classifier

6 Computes different performance evaluation metrics for model evaluation

7 Finish