Data & Features
Feature Importance
Measures indicating which features contribute most to model predictions, useful for interpretation and selection.
Related Concepts
- Interpretability: Explore how Interpretability relates to Feature Importance
- Feature Selection: Explore how Feature Selection relates to Feature Importance
- SHAP: Explore how SHAP relates to Feature Importance
Why It Matters
Understanding Feature Importance is crucial for anyone working with data & features. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
data-features interpretability feature-selection shap
Related Terms
Feature Selection
Choosing the most relevant features from available data to reduce dimensionality and improve model performance.
Interpretability
Understanding the internal workings of AI models, including which features influence predictions and why.
SHAP
SHapley Additive exPlanations - a unified approach to explaining model predictions using game theory.