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