1. Software Engineering
  2. Artificial Intelligence

Feature Importance 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.


Feature Importance Analysis


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.