| harvest {Harvest.Tree} | R Documentation |
A harvested classification tree
Description
The main function of the package, aiming at develop the harvest classification tree. Training data input and
Usage
harvest(training, num.var, numeric.info, sig = 0.95)
Arguments
training |
original data where 'y' stores classmembership 0 and 1,in the first column, with explanatory variable stores in the second to the last column. |
num.var |
number of explanatory variables |
numeric.info |
the vector stores the number of which variable is continuous |
sig |
significance level (default 0.95) |
Details
The function will return the harvested tree model. Missing values are allowed, and they will be treated accordingly. To use the trained tree model to predict, you can use predict function in this package.
Value
An object of class "harvest", which is the result of algorithm with the following elements for each nodes(nodes are ordered in sequence of harvesting):
rule constriants of the node
total total number of data points in the node
'1' the number of data points belonging to class 1 in the node
'logchange' the improvement of log likelihood of deleting the redundent rules by the algorithm for the node
Examples
data(training)
harvest(training,4,3)