fit_decision_tree-DecisionTreeClassifier-method.Rdmethod in class DecisionTreeClassifier used to build a Decision Tree
# S4 method for DecisionTreeClassifier fit_decision_tree( object, X, y, min_samples_split = 20, min_samples_leaf = ceiling(min_samples_split/3), w = 0.5 )
| object | A DecisionTreeClassifier object |
|---|---|
| X | A object that can be coerced as data.frame. Training instances |
| y | A vector with the labels of the training instances. In this vector
the unlabeled instances are specified with the value |
| min_samples_split | the minimum number of observations to do split |
| min_samples_leaf | the minimum number of any terminal leaf node |
| w | weight parameter ranging from 0 to 1 |