agtboost (version 0.9.3)

gbt.importance: Importance of features in a model.

Description

gbt.importance creates a data.frame of feature importance in a model

Usage

gbt.importance(feature_names, object)

Arguments

feature_names

character vector of feature names

object

object or pointer to object of class ENSEMBLE

Value

data.frame with percentwise reduction in loss of total attributed to each feature.

Details

Sums up "expected reduction" in generalization loss (scaled using learning_rate) at each node for each tree in the model, and attributes it to the feature the node is split on. Returns result in terms of percents.

Examples

# NOT RUN {
## Load data
data(caravan.train, package = "agtboost")
train <- caravan.train
mod <- gbt.train(train$y, train$x, loss_function = "logloss", verbose=10)
feature_names <- colnames(train$x)
imp <- gbt.importance(feature_names, mod)
imp
# }
# NOT RUN {
# }