1. Model Evaluation Techniques 1.1 Cross-Validation Methods K-Fold Cross-Validation A resampling method that divides data into k subsets, using each subset as a test set while training on others. Use Cases: Model selection Hyperparameter tuning Performance estimation Bias-variance analysis Model stability assessment Strengths: Robust evaluation Reduces overfitting Better use of data Handles small datasets Reliable…
