Abstract5.1 Training and Testing5.2 Predicting Performance5.3 Cross-Validation5.4 Other Estimates5.5 Hyperparameter Selection5.6 Comparing Data Mining Schemes5.7 Predicting Probabilities5.8 Counting the Cost5.9 Evaluating Numeric Prediction5.10 The MDL Principle5.11 Applying the MDL Principle to Clustering5.12 Using a Validation Set for Model Selection5.13 Further Reading and Bibliographic Notes