BINARY HEART DISEASE CLASSIFICATION

Binary classification for heart disease is a machine learning task aimed at predicting whether a patent has heart disease or not, based on various medical and personal data. The model is trained using labeled data where the target variable s ether 0 (no heart disease) or 1 (heart disease).