Predicts the output responses of testing samples based on the input regression tree
single_tree_prediction(Single_Model, X_test, Variable_number)Random Forest or Multivariate Random Forest Model of a particular tree
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)
Number of Output Features
Prediction result of the Testing samples for a particular tree
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.