If "train", "valid", and "xval" parameters are FALSE (default), then the training Hit Ratios value is returned. If more than one parameter is set to TRUE, then a named list of Hit Ratio tables are returned, where the names are "train", "valid" or "xval".

h2o.hit_ratio_table(object, train = FALSE, valid = FALSE, xval = FALSE)

Arguments

object

An H2OModel object.

train

Retrieve the training Hit Ratio

valid

Retrieve the validation Hit Ratio

xval

Retrieve the cross-validation Hit Ratio

Examples

# NOT RUN {
library(h2o)
h2o.init()

f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/iris/iris_wheader.csv"
iris <- h2o.importFile(f)
iris_split <- h2o.splitFrame(data = iris, ratios = 0.8, seed = 1234)
train <- iris_split[[1]]
valid <- iris_split[[2]]

iris_xgb <- h2o.xgboost(x = 1:4, y = 5, training_frame = train, validation_frame = valid)
hrt_iris <- h2o.hit_ratio_table(iris_xgb, valid = TRUE)
hrt_iris
# }