This plugin provides the ability to extract a set of interpretable rules from a Random Forest. The approach is based on the article "Learning accurate and interpretable models based on regularized random forests regression".
|Author||Dataiku (Pierre P & Du P)|
|License||Apache Software License|
You first need to set some general parameters: target, type of prediction, mettric to optimize, performance drop threshold ...
Next there are two parameters for the algorithm:
Finally, using the min support parameter, you can also choose to precise that all rules below a certain support threshold are not interesting.