From the course: Machine Learning and AI: Advanced Decision Trees with SPSS
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What is boosting?
From the course: Machine Learning and AI: Advanced Decision Trees with SPSS
What is boosting?
- [Instructor] Okay, here we are in modeler 18.4 and we're going to talk about boosting, but a particular kind of boosting that is supported by SPSS modeler. So I've got a stream that's very similar to the streams that we've been doing. Modeler 18.4 has a slightly different look and feel as you can see, but we've got the train dataset that we've been using all along, and I've got a C5 modeling node and I've run that twice. One is a model very similar to what we've been doing all along and then now I want to show you the boosting feature, but as a checkbox feature, let's take a look. So go in here and maximize that. And notice I can actually see the different trees that have been built from each boosted step to each boosted step because all we're doing is an AdaBoost style of boosting. And by that, I mean that we're weighting the rows and then running a very similar tree, but where the cases have been weighted so that…
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Contents
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Ensembles4m 48s
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What is bagging?7m 19s
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Using bagging for feature selection3m 55s
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Random forests2m 57s
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What is boosting?3m 32s
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What is XGBoost?1m 55s
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XGBoost Tree node2m 56s
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Costs and priors5m 11s
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XGBoost Linear1m 50s
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