The training data is used by algorithms to divide the predictor space, or the collection of all possible values for the predictor variables, into distinct, nonoverlapping regions.
A two-child X has a predecessor who is the highest value in the left subtree and a successor who is the lowest value in the right subtree. A node's first left ancestor is its predecessor if it has no left children.
In a BST, a node's predecessor is the biggest value in the left subtree. The predecessor may be one of his ancestors if the left subtree is absent. Similar to this, the smallest value found in a node's right subtree is its successor in a BST.
The following node in the Binary Tree's Inorder traversal is referred to as a node's Inorder successor. For the final node in an inorder traverse, Inorder Successor is NULL. The Inorder Successor of an Input in a Binary Search Tree.
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