k_knn_tester: k_knn_tester

In AlbertoAlmuinha/knnClassifier: K-Nearest Neighbor Algorithm for Classification

Description

Search the best 'k' parameter

Usage

k_knn_tester(data, target = is.integer(), k = is.vector(),
  method = c("bootstrap", "cross_validation"), metric = c("Accuracy",
  "Sensitivity", "Specificity"), ...)

Arguments

data	Dataframe that will be used
target	Integer with the column number of the target variable
k	vector of values to use
method	"bootstrap" or "cross_validation"
metric	Metric that will be evaluated. Possible values: "Accuracy", "Sensitivity" or "Specificity"

Value

Returns the mean values for the metric selected for each 'k' value and plots

Author(s)

Alberto Almui?a

Examples

data<-k_knn_tester(data = iris, target = 5, k = c(3,5,7,9), method = "bootstrap", metric = "Sensitivity")

AlbertoAlmuinha/knnClassifier documentation built on Oct. 30, 2019, 4:48 a.m.