Appendix B — Glossary

Flexible and Robust Machine Learning Using mlr3 in R

Getting Started
Preface
1 Introduction and Overview
2 Fundamentals
3 Evaluation, Resampling and Benchmarking
4 Hyperparameter Optimization
5 Feature Selection
6 Pipelines
7 Preprocessing
8 Beyond Deterministic Regression and Single-Label Classification
9 Technical
10 Model Interpretation
11 Extending
References
Appendices

Appendix B — Glossary

Term	Definition
Resampling	Repeatedly splitting data into training and test sets.

A Solutions to exercises

Source Code

# Glossary {#sec-glossary}

{{< include _setup.qmd >}}

| Term | Definition |
| ---- | ---------- |
| Resampling | Repeatedly splitting data into training and test sets. |

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