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
Adversarial Robustness
AI model ability to resist adversarial perturbations
Object Detection
Identifying and locating objects within images
Speech Recognition
Converting spoken language into written text using AI
Transformer
Architecture using self-attention for parallel processing
Quantization
Reducing model precision from 32-bit to lower bit representations
Multimodal AI
AI that processes and integrates multiple data types