h2o.gainsLift: Access H2O Gains/Lift Tables

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

Access H2O Gains/Lift Tables

Description

Retrieve either a single or many Gains/Lift tables from H2O objects.

Usage

h2o.gainsLift(object, ...)

h2o.gains_lift(object, ...)

## S4 method for signature 'H2OModel'
h2o.gainsLift(object, newdata, valid = FALSE, xval = FALSE, ...)

## S4 method for signature 'H2OModelMetrics'
h2o.gainsLift(object)

Arguments

object	Either an H2OModel object or an H2OModelMetrics object.
...	further arguments to be passed to/from this method.
newdata	An H2OFrame object that can be scored on. Requires a valid response column.
valid	Retrieve the validation metric.
xval	Retrieve the cross-validation metric.

Details

The H2OModelMetrics version of this function will only take H2OBinomialMetrics objects.

Value

Calling this function on H2OModel objects returns a Gains/Lift table corresponding to the predict function.

See Also

predict for generating prediction frames, h2o.performance for creating H2OModelMetrics.

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, distribution = "bernoulli",
                 training_frame = prostate, validation_frame = prostate, nfolds = 3)
h2o.gainsLift(model)              ## extract training metrics
h2o.gainsLift(model, valid = TRUE)  ## extract validation metrics (here: the same)
h2o.gainsLift(model, xval = TRUE)  ## extract cross-validation metrics
h2o.gainsLift(model, newdata = prostate) ## score on new data (here: the same)
# Generating a ModelMetrics object
perf <- h2o.performance(model, prostate)
h2o.gainsLift(perf)               ## extract from existing metrics object

## End(Not run)

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