single_tree_prediction

Random Forest or Multivariate Random Forest Model of a particular tree

Single_Model

Testing samples of Q x N, Q is the number of testing samples and N is the number of features(same order and
size used as training)

X_test

Variable_number


Predicts the output features of testing samples using the model of a tree


In Random Forest, prediction has been done for single
output feature, while linear relation between the
output features has not been considered in other
packages. In this package, using linear relation of
the output features, a multivariate random forest
prediction has been done, which can predict all the
output features with one Random forest. If there is
high correlation among the features, this MRF
prediction gives better result than the individual
RFs.

single_tree_prediction: Prediction of Testing Samples for single tree

Description

Usage

Arguments

Value

Details