Random Forest Classifier
This module belongs to the " Machine Learning algorithms" category.
Last updated
This module belongs to the " Machine Learning algorithms" category.
Last updated
The Random Forest Classifier module is a parameterizable and trainable Random Forest Classifier model.
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)
