feature importance
FI refers to a measure of how much each feature contribute to the predictive power of the model. It's calculated based o how much each feature helps reduce incertanty or error in the predictions across all the trees in the forest.
FI refers to a measure of how much each feature contribute to the predictive power of the model. It's calculated based o how much each feature helps reduce incertanty or error in the predictions across all the trees in the forest.