h2o.aecu_table {h2o}

Retrieve the all types of AECU (average excess cumulative uplift) value in a table

Description

Retrieves the all types of AECU value in a table from an H2OBinomialUpliftMetrics. If "train" and "valid" parameters are FALSE (default), then the training AECU values are returned. If more than one parameter is set to TRUE, then a named vector of AECU values are returned, where the names are "train", "valid".

Usage

h2o.aecu_table(object, train = FALSE, valid = FALSE)

Arguments

object

An H2OBinomialUpliftMetrics

train

Retrieve the training AECU values table

valid

Retrieve the validation AECU values table

Examples

## Not run: 
library(h2o)
h2o.init()
f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/uplift/criteo_uplift_13k.csv"
train <- h2o.importFile(f)
train$treatment <- as.factor(train$treatment)
train$conversion <- as.factor(train$conversion)

model <- h2o.upliftRandomForest(training_frame=train, x=sprintf("f%s",seq(0:10)), y="conversion",
                                ntrees=10, max_depth=5, treatment_column="treatment",
                                auuc_type="AUTO")
perf <- h2o.performance(model, train=TRUE) 
h2o.aecu_table(perf)

## End(Not run)