# Questions tagged [cart]

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### How to get variance for regression tree fit?

Suppose the true function is a tree such that: $$f(x)=\sum_{j=1}^{J}b_j I(x \in R_j)+e_i$$ where $b_j=E(y|x \in R_j)$ ,$E(e_i)=0$ and $R_j$ as terminal node. Suppose we got a fit for this tree via ...
35 views

### scikit learn target variable reversed (DecisionTreeClassifier)

I created a Decision Tree Classifier using sklearn, defined the target variable: ...
123 views

### List of samples that each tree in a random forest is trained on in Scikit-Learn

In Scikit-learn's random forest, you can set bootstrap=True and each tree would select a subset of samples to train on. Is there a way to see which samples are used in each tree? I went through the ...
15 views

### Looking for CART/ML model that works with relative data [duplicate]

I am a beginner at AI and ML. I have been given a dataset, where I have noticed the columns are relative to one another. So is there any CART or ML model that can work with relative data ? For example ...
44 views

### how are split decisions for observations(not features) made in decision trees

I have read a lot of articles about decision trees, and every one of them only focused on telling how a feature/column is considered for split, based on criterion like gini index, entropy, chi-square ...
24 views

### 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 ...
36 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 \...
32 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: ...
83 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 ...