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
Responsible AI
Framework for developing fair, transparent, accountable AI
Reinforcement Learning
Learning through trial and error with reward feedback
Sentiment Analysis
NLP technique determining emotional tone in text
Knowledge Graph
Structured graph of entities and their relationships
Variational Autoencoder
Generative model using latent space encoding and decoding
Pruning
Removing redundant neural network connections to reduce size