my_knn_cv: k-Nearest Neighbors Cross-Validation

In jingnanyuan/STAT302package: Packge Building Demonstration

Description

This function predicts output from existing variables by using k-nearest neighbors cross-validation

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

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

Value

List with objects:

class

a vector of the predicted class Y hat for all observations

df

a numeric with the cross-validation misclassification error

Examples

my_knn_cv(my_iris[, -5], my_iris$Species, 5, 5)

jingnanyuan/STAT302package documentation built on April 2, 2020, 9:42 p.m.