bigctree-class: Classification Trees in Random Forests
Description
Class representing a tree in a classification random forest.
Objects from the Class
Objects can be created by calls of the form new("bigctree", ...), but most often are generated when building a bigcforest using bigrfc.Slots
insamp:- Object of class
"integer". Number of times each training example is in the bag for this tree. inweight:- Object of class
"numeric". Sum of class weights for each in-bag example. nnodes:- Object of class
"integer". Number of nodes in the tree. treemap:- Object of class
"matrix". Indices of tree nodes. For a given node n, treemap[n, ] represents the indices of the left and right children. If a node is terminal, then both elements of treemap[n, ] are 0. nodeclass:- Object of class
"integer". Majority class of each terminal node. nodewt:- Object of class
"numeric". Sum of class weights of the examples in each terminal node. bestvar:- Object of class
"integer". Best variable that each node was split on, or 0 for terminal nodes. bestnumsplit:- Object of class
"numeric". Split point for nodes split on a numerical variable. bestcatsplit:- Object of class
"list". Split point, expressed as integer vectors indicating which factor levels to split on, for nodes split on a categorical variable. termincount:- Object of class
"numeric". Number of training examples in each terminal node. trainprednode:- Object of class
"integer". Terminal node number for each training example. trainpredclass:- Object of class
"integer". Class of terminal node for each training example. tgini:- Object of class
"numeric". Total gini.
Methods
No methods defined with class "bigctree" in the signature.