h2o.multinomial_aucpr_table: Retrieve the all PR AUC values in a table (One to Rest, One...

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

Retrieve the all PR AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.

Description

Retrieves the PR AUC table from an H2OMultinomialMetrics. If "train", "valid", and "xval" parameters are FALSE (default), then the training PR AUC table is returned. If more than one parameter is set to TRUE, then a named vector of PR AUC tables are returned, where the names are "train", "valid" or "xval".

Usage

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

Arguments

object	An H2OMultinomialMetrics object.
train	Retrieve the training PR AUC table
valid	Retrieve the validation PR AUC table
xval	Retrieve the cross-validation PR AUC table

See Also

h2o.giniCoef for the Gini coefficient, 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.multinomial_aucpr_table(perf)

## End(Not run)

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