Recall: Computes the Recall Value.

In D2MCS: Data Driving Multiple Classifier System

Computes the Recall Value.

Description

Recall (also known as sensitivity) is the fraction of the total amount of relevant instances that were actually retrieved.

Details

recall = TP / (TP + FN)

Super class

D2MCS::MeasureFunction -> Recall

Methods

Public methods

• Recall$new()

• Recall$compute()

• Recall$clone()

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Method new()

Method for initializing the object arguments during runtime.

Usage

Recall$new(performance.output = NULL)

Arguments

performance.output

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

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Method compute()

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

Usage

Recall$compute(performance.output = NULL)

Arguments

performance.output

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

Details

This function is automatically invoke by the ClassificationOutput object.

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

Recall$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.