Calculating Feature Importance with Permutation to Explain the Model — Income Prediction Example

Feature importance measures the contribution of the features for prediction. It can be used for feature selection and XAI(Explainable AI) tasks. The permutation technique might be one of the most intuitive methods used in feature importance calculation. In this post, I'd like to share how permutation is used for calculating feature importance.

1. Permutation Explained
2. Permutation Codes
3. Feature Importance in a simple…