Questions tagged [cart]

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Random selection of variables in each run of python sklearn decision tree (regressio )

When I put random_state = None and run Decision tree for regression in python sklearn, it takes different variables to build tree each time? Shouldn't there be only ...
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0answers
31 views

Prediction in CART Decision Trees

I was studying the algorithm of CART (classification and regression trees), but the formula of the prediction is irritating me. First we have the following definition: Let $X:={x_1,...,x_N} \subset \...
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0answers
17 views

What is the difference between a decision tree and something called “subgroup discovery algorithms”?

I'm reading a paper which states that subgroup discovery is: ...
2
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1answer
36 views

Problems with decision tree labeling of nodes

Decision trees as we know assigns label to the node based on majority class voting. I am curious to find that what could be the problems with such labeling schemes? Does it lead to overfitting the ...
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27 views

CART classification for imbalanced datasets with R

Hey guys i need your help for a university project. The main Task is to analyze the effects of over/under-smapling on a imbalanced Dataset. But before we can even start with that, our task sheet says, ...
3
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1answer
65 views

Make a random forest estimator the exact same of a decision tree

The idea is to make one of the trees of a Random Forest, to be built exactly equal to a Decision Tree. First, we load all libraries, fit a decision tree and plot it. ...