High data dimensionality and irrelevant features can negatively impact the performance of machine learning algorithms. This repository implements the Permutation feature importance method to enhance the performance of some machine learning models by identifying the contribution of each feature used.
feature-selection
classification
optimization-methods
decision-trees
predictive-modeling
support-vector-machines
optimization-algorithms
feature-importance
k-nearest-neighbors
permutation-importance
relevant-feature-analysis
wrapper-methods
feature-selection-methods
permutation-feature-importance
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Updated
Mar 12, 2024 - Jupyter Notebook