myerror: Classification Error

In snn: Stabilized Nearest Neighbor Classifier

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.

Author(s)

Wei Sun, Xingye Qiao, and Guang Cheng

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)

snn documentation built on May 1, 2019, 7:05 p.m.