From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
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XAI View node demonstrating KNIME - KNIME Tutorial
From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
XAI View node demonstrating KNIME
- [Instructor] We're back in KNIME, but with a new workflow. Now that we've seen the Global Explanation View earlier in the course and just seen the Local Explanation View, now we're going to take a moment to take a look at a new view, the XAI View that combines elements of local and global. This can be found on the KNIME Hub, and you can see here that its name is 05. Now, that is their numbering convention, 05_XAI_Credit_Scoring_Example_XAI_View. So one quick note before we zoom into the report itself, notice that there's a note here, "Scatter Plot Selection." That's selecting a group of applicants, a small group as it were, because the XAI View, since it combines both local and global features, we don't want to throw the whole data set at it, we want to select a handful. So we're going to have one individual that was declined, or rather that has high risk, and we'll have five that were deemed creditworthy. Let's take a…
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Contents
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Developing an intuition for Shapley values4m 35s
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Introducing SHAP1m 48s
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Using LIME to provide local explanations for neural networks2m 23s
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What are counterfactuals?2m 27s
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KNIME's Local Explanation View node4m 3s
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XAI View node demonstrating KNIME6m 41s
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