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Added 'performance evaluation'-section #29

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2 changes: 2 additions & 0 deletions MachineLearning.md
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Expand Up @@ -319,5 +319,7 @@ roughly structured into the following topics:
Alternative decompositions of predictions are implemented in
`r pkg("lime")` and `r pkg("iBreakDown")`.

- *Performance evaluation*: `r pkg(mlr3measures)`, `r pkg(yardstick)`, `r pkg(MLmetrics)` and `r pkg(SLmetrics)` provide a wide array of classification, regression and clustering metrics for machine learning tasks. mlr3measures is a part of the mlr3verse framework, yardstick is built with tidyverse for the tidymodels framework. MLmetrics and SLmetrics are standalone packages built in base 'R' and 'C++', respectively.

### Links
- [MLOSS: Machine Learning Open Source Software](http://www.MLOSS.org/)