performance: provides performance measures using objects from h2o

In h2otools: Machine Learning Model Evaluation for 'h2o' Package

provides performance measures using objects from h2o

Description

takes h2o performance object of class "H2OBinomialMetrics" alongside caret confusion matrix and provides different model performance measures supported by h2o and caret

Usage

performance(perf)

Arguments

perf	h2o performance object of class "H2OBinomialMetrics"

Value

numeric vector

Author(s)

E. F. Haghish

Examples

## Not run: 
library(h2o)
h2o.init(ignore_config = TRUE, nthreads = 2, bind_to_localhost = FALSE, insecure = TRUE)
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.importFile(path = prostate_path, header = TRUE)
y <- "CAPSULE"
prostate[,y] <- as.factor(prostate[,y])  #convert to factor for classification
aml <- h2o.automl(y = y, training_frame = prostate, max_runtime_secs = 30)

# evaluate the model performance
perf <- h2o.performance(aml@leader, xval = TRUE)

# compute more performance measures
performance(perf)


## End(Not run)

h2otools documentation built on April 4, 2025, 2:33 a.m.