TP: Computes the True Positive Value.

In D2MCS: Data Driving Multiple Classifier System

Computes the True Positive Value.

Description

TP is the number of individuals with a positive condition for which the test result is positive. The value entered here must be non-negative.

Super class

D2MCS::MeasureFunction -> TP

Methods

Public methods

• TP$new()

• TP$compute()

• TP$clone()

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Method new()

Method for initializing the object arguments during runtime.

Usage

TP$new(performance.output = NULL)

Arguments

performance.output

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

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Method compute()

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

Usage

TP$compute(performance.output = NULL)

Arguments

performance.output

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

TP$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.