h2o.aucpr: Retrieve the AUCPR (Area Under Precision Recall Curve)

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

Retrieve the AUCPR (Area Under Precision Recall Curve)

Description

Retrieves the AUCPR value from an H2OBinomialMetrics. If "train", "valid", and "xval" parameters are FALSE (default), then the training AUCPR value is returned. If more than one parameter is set to TRUE, then a named vector of AUCPRs are returned, where the names are "train", "valid" or "xval".

Usage

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

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

Arguments

object	An H2OBinomialMetrics object.
train	Retrieve the training aucpr
valid	Retrieve the validation aucpr
xval	Retrieve the cross-validation aucpr

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.aucpr(perf)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.