deepboost.evaluate: Evaluates and prints statistics for a deepboost model

In deepboost: Deep Boosting Ensemble Modeling

Description

Evaluates and prints statistics for a deepboost model

Usage

deepboost.evaluate(object, data)

Arguments

object	A Deepboost S4 class object
data	a data.frame object to evaluate with the model

Value

a list with model statistics - error, avg_tree_size, num_trees

Examples

dpb <- deepboost(y ~ .,
 data.frame(x1=rep(c(0,0,1,1),2),x2=rep(c(0,1,0,1),2),y=factor(rep(c(0,0,0,1),2))),
 num_iter=2,tree_depth=2)
deepboost.evaluate(dpb,data.frame(x1=rep(c(1,1,1,0),2),x2=rep(c(1,1,1,1),2)))

deepboost documentation built on May 2, 2019, 8:35 a.m.