h2o.rmse

0th

Percentile

Retrieves Root Mean Squared Error Value

Retrieves the root mean squared error value from an '>H2OModelMetrics object. If "train", "valid", and "xval" parameters are FALSE (default), then the training RMSEvalue is returned. If more than one parameter is set to TRUE, then a named vector of RMSEs are returned, where the names are "train", "valid" or "xval".

Usage
h2o.rmse(object, train = FALSE, valid = FALSE, xval = FALSE)
Arguments
object

An '>H2OModelMetrics object of the correct type.

train

Retrieve the training RMSE

valid

Retrieve the validation RMSE

xval

Retrieve the cross-validation RMSE

Details

This function only supports '>H2OBinomialMetrics, '>H2OMultinomialMetrics, and '>H2ORegressionMetrics objects.

See Also

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

Aliases
  • h2o.rmse
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.rmse(perf)
# }
Documentation reproduced from package h2o, version 3.22.1.1, License: Apache License (== 2.0)

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