h2o.mean_per_class_error: Retrieve the mean per class error

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

Retrieve the mean per class error

Description

Retrieves the mean per class error from an H2OBinomialMetrics. If "train", "valid", and "xval" parameters are FALSE (default), then the training mean per class error value is returned. If more than one parameter is set to TRUE, then a named vector of mean per class errors are returned, where the names are "train", "valid" or "xval".

Usage

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

Arguments

object	An H2OBinomialMetrics object.
train	Retrieve the training mean per class error
valid	Retrieve the validation mean per class error
xval	Retrieve the cross-validation mean per class error

See Also

h2o.mse for MSE, and h2o.metric for the various threshold metrics. See h2o.performance for creating H2OModelMetrics objects.

Examples

## Not run: 
library(h2o)
h2o.init()

prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(prostate_path)

prostate[, 2] <- as.factor(prostate[, 2])
model <- h2o.gbm(x = 3:9, y = 2, training_frame = prostate, distribution = "bernoulli")
perf <- h2o.performance(model, prostate)
h2o.mean_per_class_error(perf)
h2o.mean_per_class_error(model, train=TRUE)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.