Feature Importance Score
Score
Feature Importance Score evaluates the impact of different input features on the model’s predictions. It’s used to identify which features are most influential in the model's decision-making process.
Formula
Feature Importance Analysis
Example
In a loan approval model, credit score might have a feature importance score of 0.7, indicating a high impact on the model’s decisions.