Generate Simple yet Effective Metric of Feature Importance for
Classification Problems
Description
An intuitive and explainable metric of Feature Importance for Classification Problems.
Resolution Index measures the extent to which a Feature clusters different classes when data is
sorted on it. User provides a DataFrame, column name of the Class, sample size and number of
iterations used for calculation. Resolution Index for each Feature is returned, which can be
effectively used to rank Features and reduce Dimensionality of Training data. For more details
on Feature Selection see Theng and Bhoyar (2023) .