Part VIII

Evaluation and Practical ML

5 chapters, from the first idea to the working mechanism.

1. III-35Cross-Validation and Hyperparameter TuningExplore →
2. III-36Learning Curves and Model SelectionExplore →
3. III-37Class Imbalance, Calibration and Metric ChoiceExplore →
4. III-38Preprocessing, Feature Engineering and PipelinesExplore →
5. III-39Reproducibility and Numerical ReliabilityExplore →