h2o.qini: Retrieve the default Qini value

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

Retrieve the default Qini value

Description

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

Usage

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

Arguments

object	An H2OBinomialUpliftMetrics or
train	Retrieve the training Qini value
valid	Retrieve the validation Qini

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.qini(perf)

## End(Not run)

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