my_knn_cv: k-Nearest Neighbors Cross-Validation Function

In wanyeehing/project3package: STAT302 Project 3 Package

Description

This function performs k-nearest neighbors cross-validation.

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

train	Input data frame to be trained.
cl	Vector of true class value of the training data.
k_nn	Numeric input representing number of neighbors.
k_cv	Numeric input representing number of folds.

Value

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

Examples

train <- rbind(iris3[, , 1], iris3[, , 2], iris3[, , 3])
cl <- factor(c(rep("s", 50), rep("c", 50), rep("v", 50)))
my_knn_cv(train, cl, k_nn = 1, k_cv = 5)
my_knn_cv(train, cl, k_nn = 5, k_cv = 5)

wanyeehing/project3package documentation built on Dec. 23, 2021, 5:07 p.m.