Heart Disease Prediction
Description
Personal Project
June 10, 2022
Built an end-to-end classification machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes. Experimentation still in progress, but currently with a baseline accuracy score of 88.5% and 5 cross validation accuracy score of 84% on the test data. The aim is to get at least 95% accuracy score after several experimentations with different models and hyperparameter tuning.