课程: Machine Learning and AI Foundations: Decision Trees with KNIME
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The Give Me Some Credit data set - KNIME教程
课程: Machine Learning and AI Foundations: Decision Trees with KNIME
The Give Me Some Credit data set
- [Instructor] I want to introduce you to the dataset that we're going to be using for both C4.5 and classification trees. It's on the Kaggle website. It's called Give Me Some Credit. And as the name implies, it's about credit scoring specifically whether or not someone's going to have a serious default within the next two years. So if you go to the data tab, you can find where the data is. What we're really looking for is the cs-training.csv dataset. Now, what I've done is I've brought that into Excel just so that we can look at it together. And it also makes it easy to bring it into KNIME. If you ever have a very large dataset, you really don't want to turn into KNIME first, but this is a modestly sized dataset. Why am I showing you the Kaggle website? Well, I'm going to really encourage you to go here and either download the data or check out the discussion and so on. You'll also find some material on the KNIME Hub…
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内容
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Ross Quinlan, ID3, C4.5, and C5.02 分钟 37 秒
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Understanding the entropy calculation6 分钟 36 秒
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How C4.5 handles missing data3 分钟 5 秒
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The Give Me Some Credit data set2 分钟 58 秒
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Working with the prebuilt example5 分钟 30 秒
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KNIME settings for C4.53 分钟 10 秒
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How C4.5 handles nominal variables2 分钟 36 秒
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How C4.5 handles continuous variables1 分钟 46 秒
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Equal size sampling2 分钟 24 秒
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A quick look at the complete C4.5 tree2 分钟 45 秒
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Evaluating the accuracy of your C4.5 tree3 分钟 5 秒
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When to turn off pruning5 分钟 27 秒
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