This release introduces the integration of machine learning models for the Heart Failure Prediction project.
ML Models Integrated:
XGBoost (best-performing model with 92% accuracy).
Logistic Regression and Neural Networks are also implemented for comparative analysis.
Code Updates:
Model training, testing, and evaluation scripts included.
Feature importance analysis added to help explain predictions.