single_tree_prediction: Prediction of Testing Samples for single tree

In MultivariateRandomForest: Models Multivariate Cases Using Random Forests

Description

Predicts the output responses of testing samples based on the input regression tree

Usage

single_tree_prediction(Single_Model, X_test, Variable_number)

Arguments

Single_Model	Random Forest or Multivariate Random Forest Model of a particular tree
X_test	Testing samples of size Q x N, Q is the number of testing samples and N is the number of features (same order and size used as training)
Variable_number	Number of Output Features

Details

A regression tree model contains splitting criteria for all the splits in the tree and output responses of training samples in the leaf nodes. A testing sample using these criteria will reach a leaf node and the average of the Output response vectors in the leaf node is considered as the prediction of the testing sample.

Value

Prediction result of the Testing samples for a particular tree

MultivariateRandomForest documentation built on May 2, 2019, 1:05 p.m.