Developer Guide for Intel® Data Analytics Acceleration Library 2018 Update 2
Given:
The problem is to build a regression decision tree.
The library provides the decision tree regression algorithm based on the mean-squared error (MSE) [Breiman84]:
where
The test to be used in the node is selected as
.
For binary decision tree with 'true' and 'false' branches,
The regression decision tree follows the algorithmic framework of decision tree training described in Classification and Regression > Decision tree >Training stage.
The regression decision tree follows the algorithmic framework of decision tree prediction described in Classification and Regression > Decision tree > Prediction stage.
Given the regression decision tree and vectors x 1, …, x r , the problem is to calculate the responses for those vectors.