Confusion matrix / Matching matrix 1.0

function [confmatrix] = cfmatrix(actual, predict, classlist, per)% Outputs: confusion matrix%%% Inputs:% 1. actual / 2. predict% The inputs provided are the 'actual' classes vector and the 'predict'ed classes vector. The actual classes are the classes to which the input feature vectors belong. The predicted classes are the class to which the input feature vectors are predicted to belong to, based on a prediction algorithm.% The length of actual class vector and the predicted class vector need to be the same. If they are not the same, an error message is displayed.% 3. classlist% The third input provides the list of all the classes {p,n,...} for which the classification is being done. All classes are numbers.% 4. per = 1/0 (default = 0)% This parameter when set to 1 provides the values in the confusion matrix as percentages. The default provides the values in numbers.%% Example:% >> a = [ 1 2 3 1 2 3 1 1 2 3 2 1 1 2 3];% >> b = [ 1 2 3 1 2 3 1 1 1 2 2 1 2 1 3];% >> Cf = cfmatrix(a, b);

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Algorithm,  Based,  Class,  Displayed,  Error,  Length,  Message,  Prediction
Users rating:	0/10