som.nn.confusion: Calculate confusion matrix

In som.nn: Topological k-NN Classifier Based on Self-Organising Maps

Calculate confusion matrix

Description

Calculates the confusion matrix for a prediction result if the corresponding vector of true class labels is provided.

Usage

som.nn.confusion(x, class.labels)

Arguments

x	data.frame with the predictions as returned by the SOM.nn predict method.
class.labels	vector of correct class labels for the predictions.

Details

The confusion matrix (also called table of confusion) displays the number of predicted class labels for each actual class. Example:

	pred. cat	pred. dog	pred. rabbit	unknown
actual cat	5	3	0	0
actual dog	2	3	1	0
actual rabbit	0	2	9	2

The confusion matrix includes a column unknown displaying the samples for which no unambiguous prediction is possible.

Value

data.frame containing the confusion matrix.

som.nn documentation built on May 29, 2024, 6:50 a.m.