Evaluating of machine learning and artificial intelligence algorithms (Data Train Course 2023)

Contents

This repository contains course materials from the

“Evaluating machine learning and artificial intelligence algorithms”
Data Train Course 2023.

The rendered html slides can be accessed here:

https://maxwestphal.github.io/evaluation_in_ml_datatrain_2023/

Author: Max Westphal ([email protected])

Course instructors:

• Max Westphal
• Werner Brannath
• Pascal Rink

Instructions For Course Participants

To prepare for the course,

• install R + Rstudio from https://posit.co/download/rstudio-desktop/,
• clone this repository: git clone https://github.com/maxwestphal/evaluation_in_ml_datatrain_2023.git [terminal] (in desired parent directory),
• open the project “evaluation_in_ml_datatrain_2023.Rproj” in RStudio,
• install renv: install.packages(c("yaml", "renv"), dependencies = TRUE) [R],
• activate renv: renv::activate() [R],
• install packages renv::install() [R] (confirm if asked to),
• restore dependencies: renv::restore() [R] (confirm if asked to).

License

This work is released under a CC BY-SA 4.0 license.

Issues

If you find an error or have suggestions for improvements, please create a new issue here:

https://github.com/maxwestphal/evaluation_in_ml_datatrain_2023/issues

Reproduction

If you are interested in reproducing the course materials (i.e. train prediction models and produce the evaluation data), please conduct the following steps:

• re-produce pre-computed results: source("scripts/_run.R) [R]
• render the file “slides.qmd”: quarto::quarto_render() [R]

R Version Info

str(R.Version())

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