Introduction

1. Overview
2. Learning tasks
3. Wrapped learners
4. Training
5. Predictions
6. Evaluation of predictions
7. Resampling
8. Tuning
9. Benchmark experiment
10. Benchmark analysis
    (with benchmark package)
11. R documentation
Advanced Topics