Random Forest Classifier
This module belongs to the " Machine Learning algorithms" category.
Description
The Random Forest Classifier module is a parameterizable and trainable Random Forest Classifier model.
Parameters
In the parameters, among others, we can choose:
the number of estimators
the criteria : gini and entropy
the maximum depth
the minimum samples
split and samples leaf value
maximum impurity decrease
weight fraction leaf
max features (auto, SQRT, Log2, Integer, Float , None)
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