Controlling Complexity
Learn to control the complexity of CART decision trees via hyperparameters.
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The CART hyperparameters in R
The classification and regression tree (CART) algorithms are available in R via the rpart package. CART trees can be specified in tidymodels by using the value rpart with the set_engine() function.
The rpart package supports many hyperparameters for controlling the complexity (i.e., tuning) of decision tree models as they are being built. Of these hyperparameters, the ...
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