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
Chain-of-Thought
Technique encouraging AI to show step-by-step reasoning
Adversarial Attack
Crafting inputs that fool AI models into wrong predictions
Pruning
Removing redundant neural network connections to reduce size
Prompt Injection
Attack manipulating AI behavior by overriding instructions
AI Ethics
Study of moral implications in AI development
Synthetic Data
Artificially generated data mimicking real-world distributions