Path Planning
Machine Learning
Visualizations that show how a feature affects model predictions while accounting for other features.
Detailed Explanation
Partial Dependence Plots (PDPs) are visual tools used in machine learning to illustrate the relationship between a specific feature and the predicted outcome. They show the average effect of a feature on the model's predictions, marginalizing over other features, helping interpret the influence of that feature and identify potential non-linear relationships or thresholds.
Use Cases
- •Use case: Identifying how age impacts loan approval likelihood in a credit scoring model.
Related Terms
Other terms in the Machine Learning category