Posted 12/19/2023, 9:35:57 AM
21 Ways to Better Understand Your Data and Improve ML Models by Assessing Feature Importance
- Explains 21 different methods to assess feature importance in machine learning models, across various Python packages
- Knowing feature importance helps with model training time, avoiding overfitting, handling high dimensionality, and transfer learning
- Focuses on tabular data features rather than image, text, etc.
- Feature importance helps you understand your data better to build better ML models
- Author argues having multiple feature importance assessment techniques is useful for getting multiple perspectives