Case Study: Local Explanations with ICE Curves
Learn how to apply ICE plots to explore how the instance’s prediction changes when a feature changes.
In this lesson, we’ll learn about a technique called individual conditional expectation (ICE) curves, which helps us understand how changing a specific feature affects the predictions of a machine learning model for each individual data point.
Individual conditional expectation (ICE) curves show how the prediction of each individual data point changes when a feature is changed. Each data point is represented by a line on the ICE curve, illustrating how the prediction varies with different feature values.
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