FeatureImportance 0.0.3

A library to compute feature importance for voting classifiers in the ensembled voting

This package is for computing feature importance in voting classifiers

The steps of the algorithm to compute the feature importance of the Voting Classifier is:

Compute Feature Importance score of each of the base estimators Multiply the weights of the base estimator to the importance score of each of the features. Average out the features importance score (from step 2) for each feature.

The algorithm takes the voting classifier and the weights as input and returns the feature importance as a pandas dataframe

Change Log

0.0.2 (10/02/2023)

-First Release