Why Your Model Overfits and How to Fix It

What is Overfitting?

Overfitting occurs when a model learns the detail and noise in the training data to the extent that it negatively impacts the performance of the model on new data.

Solutions

1. Cross-Validation: Use K-Fold to ensure model generalization.
2. Regularization: Add L1 (Lasso) or L2 (Ridge) penalties.
3. Simplify the Model: Reduce features or tree depth.