Artificial Intelligence
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Feature Importance
Quick Definition
Quantifying each input features contribution to predictions
Full Definition
Quantifying the contribution of each input feature to a machine learning model predictions and decisions.
Examples
SHAP values, permutation importance, decision tree splits
Related Terms
explainable-ai
feature-engineering
More Artificial Intelligence Terms
Long Short-Term Memory
RNN variant designed to learn long-term dependencies
Prompt Engineering
Crafting effective inputs to guide AI model outputs
Variational Autoencoder
Generative model using latent space encoding and decoding
Reinforcement Learning
Learning through trial and error with reward feedback
Meta-Learning
Designing models that learn how to learn new tasks
AI Agent
Autonomous software taking goal-directed actions