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".
h2o.qini(object, train = FALSE, valid = FALSE)An H2OBinomialUpliftMetrics or
Retrieve the training Qini value
Retrieve the validation Qini
if (FALSE) { # \dontrun{
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)
} # }