Question 1: It does not do an internal cross-validation to prevent
overfitting.
Question 2: Yes, you can put a higher weight on your positive class. Look
at the class_weights parameter in the documentation here:
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifie
Hi All,
This is my understanding of the Random Forest Algorithm :
Random Forest algorithm creates number of trees using randomly selected subset
of samples and features. At each node of the tree it uses the Gini information
gain
to find the best feature-threshold (various threshold is tested fo
