From 173fe8abf026db9ecff8f5ed141f8bfdcaf94409 Mon Sep 17 00:00:00 2001 From: serkor1 <77464572+serkor1@users.noreply.github.com> Date: Sat, 7 Jun 2025 06:54:14 +0200 Subject: [PATCH] Added 'performance evaluation'-section * Added a new section on packages that is built for performance evaluation of machine learning tasks- - yardtick - mlr3measures - MLmetrics - SLmetrics --- MachineLearning.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/MachineLearning.md b/MachineLearning.md index b05f55c..8977fd0 100644 --- a/MachineLearning.md +++ b/MachineLearning.md @@ -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/)