Heart Attack / MI Complications Prediction

This Project uses the UCi Myocardial Infarction Complications dataset to train a first machine learning model. https://archive.ics.uci.edu/dataset/579/myocardial+infarction+complications

Files

• heart_attack_prediction.py Main script that loads data, cleans it, trains models, and evaluates them

• src/load_data.py Loads the dataset from UCI using 'ucimlrepo'

• src/preprocess.py Selects the target, drops bad columns, and splits data

• src/train_model.py Builds preprocessing and achine learning pipelines

• src/evaluate.py Prints accuracy, precision, recall, F1, ROC-AUC, and confusion matrix

How to Run

pip install -r requirements.txt
python heart_attack_prediction.py