# Heart Disease Prediction Model
This model uses random forest classifier model, which ia a classification algorithm, to predict whether a person is suffering from heart disease or not.
## Accuracy
The heart disease predicter has an acuuracy of 87.82%
## Dataset
The dataset is picked from kaggle: https://www.kaggle.com/datasets/priyanka841/heart-disease-prediction-uci
This dataset was preprocessed and then the model was trained on this cleaned dataset.
The dataset after preprocessing is attached here.
