text: The class represents split in a decision tree. More...
  #include <opencv2/ml.hpp>
  The class represents split in a decision tree.
  The threshold value in case of split on an ordered variable. The rule is:
  If true, then the inverse split rule is used (i.e. left and right branches are exchanged in the rule expressions below).
  Index of the next split in the list of splits for the node.
  The split quality, a positive number. It is used to choose the best split.
  Offset of the bitset used by the split on a categorical variable. The rule is:
  Index of variable on which the split is created.