h2o.aecu_table: Retrieve the all types of AECU (average excess cumulative...

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

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)

h2o documentation built on Aug. 9, 2023, 9:06 a.m.