Feature Importance In Random Forests: Unveiling The Key Predictors
Feature importance random forest is a method used to determine the relative importance of different features in a random forest model. It calculates the closeness score, a metric that measures the strength of the relationship between a feature and the target variable. By considering the number of times a feature is used in decision trees,…