h2o.metric: H2O Model Metric Accessor Functions

Description

A series of functions that retrieve model metric details.

Usage

h2o.metric(object, thresholds, metric)
h2o.F0point5(object, thresholds)
h2o.F1(object, thresholds)
h2o.F2(object, thresholds)
h2o.accuracy(object, thresholds)
h2o.error(object, thresholds)
h2o.maxPerClassError(object, thresholds)
h2o.mcc(object, thresholds)
h2o.precision(object, thresholds)
h2o.tpr(object, thresholds)
h2o.fpr(object, thresholds)
h2o.fnr(object, thresholds)
h2o.tnr(object, thresholds)
h2o.recall(object, thresholds)
h2o.sensitivity(object, thresholds)
h2o.fallout(object, thresholds)
h2o.missrate(object, thresholds)
h2o.specificity(object, thresholds)

Arguments

object

An H2OModelMetrics object of the correct type.

thresholds

A value or a list of values between 0.0 and 1.0.

metric

A specified paramter to retrieve.

Value

Returns either a single value, or a list of values.

Details

Many of these functions have an optional thresholds parameter. Currently only increments of 0.1 are allowed. If not specified, the functions will return all possible values. Otherwise, the function will return the value for the indicated threshold.

Currently, the these functions are only supported by H2OBinomialMetrics objects.

Examples

Run this code

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.F1(perf)

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