FN: Computes the False Negative errors.

In D2MCS: Data Driving Multiple Classifier System

Computes the False Negative errors.

Description

Computes the ratio of number of Type II errors achieved by the final M.L. model.

Super class

D2MCS::MeasureFunction -> FN

Methods

Public methods

• FN$new()

• FN$compute()

• FN$clone()

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Method new()

Method for initializing the object arguments during runtime.

Usage

FN$new(performance.output = NULL)

Arguments

performance.output

An optional ConfMatrix parameter to define the type of object used to compute the FN measure.

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Method compute()

The function computes the FN achieved by the M.L. model.

Usage

FN$compute(performance.output = NULL)

Arguments

performance.output

An optional ConfMatrix parameter to define the type of object used as basis to compute the FN measure

Details

This function is automatically invoked by the ClassificationOutput framework.

Returns

A numeric vector of size 1 or NULL if an error occurred.

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Method clone()

The objects of this class are cloneable with this method.

Usage

FN$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

MeasureFunction, ClassificationOutput, ConfMatrix

D2MCS documentation built on Aug. 23, 2022, 5:07 p.m.