my_knn_cv: k-Nearest Neighbors Cross Validation Function

In alishaluo/STAT302package: Package Building for STAT 302

Description

This function uses k-nearest neighbors cross validation to predict the output class.

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

train	data frame input.
cl	true class value of the training data.
k_nn	numeric input of the number of neighbors.
k_cv	numeric input of the number of folds.

Value

A list with the predicted class, and a numeric output of the cross validation error.

Examples

my_knn_cv(train = my_gapminder[, c(4, 6)], cl = my_gapminder$continent, k_nn = 5,
          k_cv = 5)

alishaluo/STAT302package documentation built on March 17, 2020, 4:37 a.m.