knncLoo

Leave-one-out recognition rate of KNNC

Contents

Syntax

Description

recogRate=knncLoo(DS) returns the recognition rate of the KNNC over the dataset DS based on the leave-one-out criterion.

recogRate=knncLoo(DS, opt) uses the parameters in opt for the computation. (In fact, only opt.k will be used for this function.)

recogRate=knncLoo(DS, opt, showPlot) plots the results if the dimension of the dataset is 2.

[recogRate, computed, nearestIndex]=knncLoo(...) also returns the computed class and the nearest index of each data instance.

opt=knncLoo('defaultOpt') returns the default options obtain from knncTrain('defaultOpt'). (In fact, only opt.k will be used for this function.)

Example

DS=prData('iris');
DS.input=DS.input(3:4, :);	% Use the last 2 dims for plotting
opt=knncLoo('defaultOpt');
showPlot=1;
tic
[recogRate, computed, nearestIndex] = knncLoo(DS, opt, showPlot);
fprintf('Elapsed time = %g sec\n', toc);
fprintf('Recog. rate = %.2f%% for %s dataSet\n', 100*recogRate, DS.dataName);

Elapsed time = 0.140837 sec
Recog. rate = 95.33% for iris dataSet

See Also

knncEval, knncTrain.

Published with MATLAB® R2018a