Methods and approaches on model evaluation and/or cross-validation
- 1_Hyperparameters
- 2_Informed-Hyperparameter-Tuning-Bayesian-Statistics
- Model Validation
- Train/Test Splitting
- Train/Test/Validation Splitting
- Seen vs. Unseen Data
- Validation for Regression
- Validation for Classification
- Cross-Validation
- Accuracy
- Score Comparison
- Why perform cross-validation
- Hold-out Test Set + GridSearch + Best Hyperparameters
- Linear Model Concept
- Lasso Regularization
- Alpha
- Combining Feature Selectors
- Ridge Regularization
- Lasso Regularization