h2o.mean_per_class_error: Retrieve the mean per class error

Description Usage Arguments See Also Examples

View source: R/models.R

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

1
2
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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
library(h2o)
h2o.init()

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

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


h2o documentation built on May 19, 2017, 7:10 p.m.
Search within the h2o package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.