h2o.mse: Retrieves Mean Squared Error Value

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

Retrieves Mean Squared Error Value

Description

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

Usage

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

Arguments

object	An H2OModelMetrics object of the correct type.
train	Retrieve the training MSE
valid	Retrieve the validation MSE
xval	Retrieve the cross-validation MSE

Details

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

See Also

h2o.auc for AUC, 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.mse(perf)

## End(Not run)

h2o documentation built on Aug. 9, 2023, 9:06 a.m.