my_knn_cv: k-Nearest Neighbors Cross-Validation

In mzhang98/project3: Project 3 Package

Description

This function implements knn to perform cross-validation.

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

A list with objects:

class	A vector of the predicted class for all observations.
cv_err	A numeric with the cross-validation misclassification error.

Examples

data <- na.omit(my_penguins)
data$species <- as.numeric(factor(data$species,
  levels = c('Adelie', 'Chinstrap', 'Gentoo'), labels = c(1, 2, 3)))
my_knn_cv(data[, 3:6], data[, 1], 1, 5)
my_knn_cv(data[, 3:6], data[, 1], 5, 5)

mzhang98/project3 documentation built on March 22, 2021, 1:51 p.m.