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
Value
Prediction result of the Testing samples for a particular tree
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.