Interpretable Machine Learning - ICE plots in Knime

To improve Machine Learing Interpretability, Knime has introduced Individual Conditional Expectation (ICE) plots. ICE plots enable you to drill down to the level of individual observations, and show you what would happen to the model’s prediction if you varied one characteristic of a particular observation. These plots are extremely useful for explaining Machine Learning models. Here is a short video intro to ICE plots in Knime.
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