To compare different kind of machine learning classifier with eachother on the diabetes dataset -> KNN, logistic regression, SVM, Random Forest Trees (logistic regression with added higher order features) (automatised parameter searching on the SVM with random search) (logistic regression with bagging & adaboost) (random forest trees with adaboost & gradient boosting & XGBoost)
- The random forest trees where the most accurate , knn also did really well.
- The bagging and boosting on the logistic regression had a positive effect