h2o (version 3.16.0.2)

h2o.mse: 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()

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.mse(perf)
# }

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