课程: Machine Learning and AI Foundations: Decision Trees with KNIME

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An overview of decision tree algorithms

An overview of decision tree algorithms - KNIME教程

课程: Machine Learning and AI Foundations: Decision Trees with KNIME

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An overview of decision tree algorithms

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- [Instructor] Okay, now I want to orient you to the most common, most well-known decision tree algorithms and discuss what kinds of decision tree algorithms are supported in KNIME. So let's widen these very useful windows over here so that we can see them better. And you can see that our node repository is still showing all the nodes that have decision tree in the name. Now, we can see some of the ones listed that were in our example, like the decision tree learner and the decision tree predictor, but they don't have the name of an algorithm seemingly. The two most common when building a single decision tree, now that's in contrast to what's called an ensemble and we'll mention that in a moment, but when you're building a single decision tree, the ones that you very often hear about are CART, that's an acronym for Classification And Regression Trees, or C5, so we don't see anything seemingly that says that. So for instance…

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