Can anyone explain me about Decision tree parameters - minSplit, minBucket, Complexity, minDepth with some simple decision tree example?
And how this parameters will affect the accuracy measure?
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This is a very good introduction to building decision trees with the rpart package in R. Although it's not cart, it provides very good insights on how this works.