Kappa {D2MCS}

Computes the Kappa Cohen value.

Description

Cohen's Kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories.

Details

\kappa \hspace{0.1cm} is \hspace{0.1cm} equivalent \hspace{0.1cm} to \hspace{0.1cm} (p_o - p_e) / (1 - p_e) = 1 - (1 - p_0) / (1 - p_e)

Super class

D2MCS::MeasureFunction -> Kappa

Methods

Public methods

• Kappa$new()

• Kappa$compute()

• Kappa$clone()

Method new()

Method for initializing the object arguments during runtime.

Usage

Kappa$new(performance.output = NULL)

Arguments

performance.output

An optional ConfMatrix used as basis to compute the performance.

Method compute()

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

Usage

Kappa$compute(performance.output = NULL)

Arguments

performance.output

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

Details

This function is automatically invoked by the ClassificationOutput object.

Returns

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

Method clone()

The objects of this class are cloneable with this method.

Usage

Kappa$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

MeasureFunction, ClassificationOutput, ConfMatrix