find_Knn_best_k {KMEANS.KNN}

find_Knn_best_k

Description

This function finds the best k-value for KNN based on the provided data.

Usage

find_Knn_best_k(data, target_column, k_values, Prop_train = 0.8)

Arguments

data

A dataframe containing the dataset to be used.

target_column

A string specifying the name of the target column in the dataset.

k_values

A numeric vector containing the different k-values to be tested.

Prop_train

A numeric value between 0 and 1 indicating the proportion of the dataset to be used for training.

Value

A list containing a dataframe with k-values and their corresponding accuracies, and the best k-value with its accuracy.

Examples

data(iris)
find_Knn_best_k(iris,"Species",1:10,Prop_train=0.8)