snn (version 1.1)

myerror: Classification Error

Description

Compute the error of the predict list given the true list.

Usage

myerror(predict, true)

Arguments

predict

The list of predicted labels

true

The list of true labels

Value

It returns the errors of the predicted labels from a classification algorithm.

Examples

	# Training data
	set.seed(1)
	n = 100
	d = 10
	DATA = mydata(n, d)
	
	# Testing data
	set.seed(2015)
	ntest = 100  
	TEST = mydata(ntest, d)
	TEST.x = TEST[,1:d]
	TEST.y = TEST[,d+1]
	
	## Compute the errors for knn, bnn, ownn, and snn with given parameters.
	predict.knn = myknn(DATA, TEST.x, K = 5)
	predict.bnn = mybnn(DATA, TEST.x, ratio = 0.5)
	predict.ownn = myownn(DATA, TEST.x, K = 5)
	predict.snn = mysnn(DATA, TEST.x, lambda = 10)

	myerror(predict.knn, TEST.y)
	myerror(predict.bnn, TEST.y)
	myerror(predict.ownn, TEST.y)
	myerror(predict.snn, TEST.y)