Mubshr07/heartDiseasePrediction

This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.

adaboost catboost dicision-tree extratreesclassifier knn-classification lightgbm logistic-regression machine-learning mlp-classifier mlp-networks navies-bayes-classifer nhanes nhanes-data random-forest svm svm-classifier xgboost

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Created June 7, 2023

Updated January 11, 2026