my_knn_cv: K-Nearest Neighbors Cross-Validation function

In JudyTi/STAT302package: Project3 Package for STAT302

Description

This function predicts output class.

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

train	Input data frame.
cl	True class value of your training data.
k_nn	Integer representing the number of neighbors.
k_cv	Integer representing the number of folds.

Value

List with objects: a vector of the predicted class Y for all observations class and a numeric with the cross-validation misclassification error cv_err.

Examples

data <- na.omit(my_penguins)
train <- data[, 3:6]
my_knn_cv(train, data$species, 1, 5)

JudyTi/STAT302package documentation built on Dec. 18, 2021, 2:32 a.m.