From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
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Global feature importance demo - KNIME Tutorial
From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
Global feature importance demo
- [Instructor] Okay, we're going to talk about the impressive global feature importance node in KNIME. I've tried to present the conceptual material so that you can apply it in any venue, frankly, not just KNIME. But what we're about to discuss is highly specific to KNIME, 'cause frankly, it's a kind of shortcut that's going to run multiple analyses very easily for you. So let me walk you through where to find it and how to use it. I think you are going to find it very helpful. So this component is able to compute global feature importance with up to four different techniques. So in one step, you're going to get multiple views at global importance. So you can find this description of the node on the KNIME hub, but even better than that, there's a completely worked up example, including a workflow. So you can find this also on the KNIME hub, and it's a complete workflow. And if you go to download, you can download…
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Providing global explanations with partial dependence plots4m 58s
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Using surrogate models for global explanations1m 52s
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Developing and interpreting a surrogate model with KNIME4m 52s
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Permutation feature importance1m 11s
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Global feature importance demo6m 54s
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