h2o.auuc_normalized: Retrieve normalized AUUC

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

Retrieve normalized AUUC

Description

Retrieves the AUUC value from an H2OBinomialUpliftMetrics. If the metric parameter is "AUTO", the type of AUUC depends on auuc_type which was set before training. If you need specific normalized AUUC, set metric parameter. If "train" and "valid" parameters are FALSE (default), then the training normalized AUUC value is returned. If more than one parameter is set to TRUE, then a named vector of normalized AUUCs are returned, where the names are "train", "valid".

Usage

h2o.auuc_normalized(object, train = FALSE, valid = FALSE, metric = NULL)

Arguments

object	An H2OBinomialUpliftMetrics
train	Retrieve the training AUUC
valid	Retrieve the validation AUUC
metric	Specify the AUUC metric to get specific AUUC. Possibilities are NULL, "qini", "lift", "gain".

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.auuc_normalized(perf)

## End(Not run)

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