Читать книгу AWS Certified Machine Learning Study Guide - Shreyas Subramanian - Страница 33
Subdomain 3.5: Evaluate machine learning models
Оглавление| Exam Objective | Chapter |
|---|---|
| 3.5-1. Avoid overfitting/underfitting (detect and handle bias and variance | 9 |
| 3.5-2. Metrics (AUC-ROC, accuracy, precision, recall, RMSE, F1 score) | 9 |
| 3.5-3. Confusion matrix | 9 |
| 3.5-4. Offline and online model evaluation, A/B testing | 9 |
| 3.5-5. Compare models using metrics (time to train a model, quality of model, engineering costs) | 9 |
| 3.5-6. Cross validation | 9 |
