3. Model selection and evaluation 3.1.1. Computing cross-validated metrics3.1.3. A note on shuffling 3.2. Tuning the hyper-parameters of an estimator 3.2.3. Tips for parameter search 3.3. Metrics and scoring: quantifying the quality of predictions 3.3.2. Classification metrics3.3.4. Regression metrics 3.4. Model persistence 3.4.2. Security & maintainability limitations 3.5.1. Validation curve