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
Deep Learning
Machine learning using multi-layered neural networks
Embedding
Learned vector representations of discrete objects in continuous space
Multimodal AI
AI that processes and integrates multiple data types
Diffusion Model
Generative model creating data by iteratively removing noise
Anomaly Detection
Identifying unusual patterns that deviate from expected behavior
Grounding
Connecting AI outputs to verifiable real-world sources