h2o.auuc_normalized {h2o}

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)