This project is a minor project in MSc[IT] . diabetes(Type-2) is a todays leading health concern in world. we to early prediction of diabetes and clustering based risk prediction using data analytics . In it we perform various supervised classification model to find optimized solution by comparing various model. stacking model performance is 96.4
random-forest supervised-learning xgboost ensemble-learning logistic-regression svm-classifier k-nearest-neighbours stacking boosting light-gbm baging
-
Updated
Nov 4, 2024 - Jupyter Notebook