Asked by: Filiberto Segurana
technology and computing artificial intelligence

What algorithm does Rpart use?

Last Updated: 12th February, 2020

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Note that the R implementation of the CART algorithm is called RPART (Recursive Partitioning And Regression Trees). This is essentially because Breiman and Co.

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Considering this, what is Rpart package in R?

rpart: Recursive Partitioning and Regression Trees Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Likewise, what is a cart model in R? A Decision Tree is a supervised learning predictive model that uses a set of binary rules to calculate a target value.It is used for either classification (categorical target variable) or regression (continuous target variable). Hence, it is also known as CART (Classification & Regression Trees).

Similarly, you may ask, what is Rpart Minsplit?

minsplit is “the minimum number of observations that must exist in a node in order for a split to be attempted” and minbucket is “the minimum number of observations in any terminal node”. Observe that rpart encoded our boolean variable as an integer (false = 0, true = 1).

Does Rpart do cross validation?

1 Answer. The rpart package's plotcp function plots the Complexity Parameter Table for an rpart tree fit on the training dataset. You don't need to supply any additional validation datasets when using the plotcp function. It then uses 10-fold cross-validation and fits each sub-tree T1

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