my_knn_cv: K-nearest Neighbors Cross-validation Function

In irenshaw99/stat302package: Linear inference and prediction functions from STAT 302

Description

This function is used to predict a class using the k-nearest neighbors algorithm

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

train	Data frame of covariate values used to predict a class
cl	String indicating the output class to predict
k_nn	Numeric for the number of neighbors to use in the k-nearest neighbors algorithm
k_cv	Numeric for the number of folds for cross-validation

Value

list with the cross-validation error and a vector of the predicted class

Examples

my_knn_cv(my_penguins[complete.cases(my_penguins), c(1, 3:6)], "species", 5, 5)
my_knn_cv(my_penguins[complete.cases(my_penguins), c(1, 3:5)], "species", 10, 10)

irenshaw99/stat302package documentation built on Dec. 20, 2021, 7:59 p.m.