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
Few-Shot Learning
Learning to perform tasks from a small number of examples
Knowledge Graph
Structured graph of entities and their relationships
Neural Architecture Search
Automating the design of optimal neural network architectures
Image Segmentation
Partitioning images into labeled segments per pixel
Federated Learning
Distributed ML training without sharing raw data
Retrieval-Augmented Generation
Combining LLMs with external knowledge for accurate responses