mlr Tutorial
Julia Schiffner, Bernd Bischl, Michel Lang, Jakob Richter, Zachary M., Jones, Philipp Probst, Florian Pfisterer, Mason Gallo, Dominik Kirchhoff,, Tobias K\"uhn, Janek Thomas, Lars Kotthoff
TL;DR
This paper offers a comprehensive introduction to the mlr framework, a tool in R for conducting machine learning experiments efficiently and systematically.
Contribution
It provides an in-depth tutorial on using the mlr framework, highlighting its features and capabilities for machine learning research.
Findings
Facilitates systematic machine learning experimentation in R
Enhances reproducibility of experiments
Simplifies complex machine learning workflows
Abstract
This document provides and in-depth introduction to the mlr framework for machine learning experiments in R.
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Taxonomy
TopicsData Analysis with R