Models and predicts Multiple Features in single random forest considering the linear relation among the features.
|Date of publication||2016-12-07 08:43:33|
|Maintainer||Raziur Rahman <email@example.com>|
|License||GPL (>= 2)|
build_forest_predict: Prediction using Random Forest or Multivariate Random Forest
build_single_tree: Model of a single tree of Random Forest or Multivariate...
CrossValidation: Generate training and testing samples for cross validation
Imputation: Imputation of a numerical vector
Node_cost: Information Gain
predicting: Prediction of testing sample in a node
single_tree_prediction: Prediction of Testing Samples for single tree
split_node: Splitting Criteria of all the nodes of the tree
splitt: Split of the Parent node
variable_importance_measure: Calculates variable Importance of a Regression Tree Model
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