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Partial Dependence Plots

[ˈpɑːʃəl dɪˈpɛndəns plɒts]
Machine Learning
Last updated: December 9, 2024

Definition

Visualizations that show how a feature affects model predictions while accounting for other features.

Detailed Explanation

These plots display the marginal effect of a feature on the predicted outcome of a machine learning model. They show how the prediction partially depends on the feature of interest, averaging out the effects of all other features.

Use Cases

Understanding feature impacts in house price prediction, analyzing risk factors in insurance modeling

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