R中knn函数中的cl参数是什么意思? [英] What does cl parameter in knn function in R mean?

问题描述

我正在使用R来实现knn. "class"包中的knn函数包含一个名为cl:

I'm using R to implement knn. The knn function in 'class' package contains a parameter called cl:

knn(train, test, cl, k = 1, l = 0, prob = FALSE, use.all = TRUE)

在包装文档中写道，cl是对训练集进行真正分类的一个因素.我不知道那意味着什么！有人可以帮忙吗?

It is written in the package documentation that cl is a factor of true classifications of training set. I don't know that means! could any one help?

推荐答案

正如您所指出的，CL代表分类. CL应包含属于训练测试的响应变量的类别.如果将X定义为自变量，将Y定义为自变量，然后从两者定义训练和测试集，则knn应称为:

As you point out CL stands for classifications. CL should contain the categories of the response variables belonging to the training test. If one defines X as the independent variables and Y as the independent variable and then defines a training and a test set from the two, than knn should be called as:

train <- sample(1 : dim(data)[1], round(dim(data)[1] / 3 * 2))
trainX <- data[train, ]
testX <- data[-train, ]
trainCl <- factor(data[train, "classifications"])
testCl <- factor(data[-train, "classifications"])
knnPred <- knn(trainX, testX, trainCl, k=1)
# confusion matrix
table(knnPred, testCl)

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