predicting: Prediction of testing sample in a node

In MultivariateRandomForest: Models Multivariate Cases Using Random Forests

Description

Provides the value of a testing sample in a node which refers to which child node it will go using the splitting criteria of the tree node or prediction results if the node is a leaf.

Usage

predicting(Single_Model, i, X_test, Variable_number)

Arguments

Single_Model	Model of a particular tree
i	Number of split. Used as an index, which indicates where in the list the splitting criteria of this split has been stored.
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

The function considers the output at a particular node. If the node is a leaf, the average of output responses is returned as prediction result. For a non-leaf node, the direction of left or right node is decided based on the node threshold and splitting feature value.

Value

Prediction result of a testing samples in a node

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