h2o.mean_per_class_error function

Retrieve the mean per class error

Retrieve the mean per class error

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".

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

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)

See Also

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

  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11