k_fold_cross_validation: k-Fold Cross Validation

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

Description

k-Fold Cross Validation for knn Classifier algorithm

Usage

k_fold_cross_validation(data, target, method = c("k_fold",
  "multi_k_fold"), algorithm = "knn", k_fold = 10, times = 5,
  metric = "Accuracy", ...)

Arguments

data	Dataframe that will be used
target	Integer with the column number of the target variable
method	Could be "k_fold" or "multi_k_fold"
algorithm	Only "knn" available
k_fold	Number of folds that will be created
times	Number of times to create "multi_k_fold"
metric	Metric that will be evaluated. Possible values: "Accuracy", "Sensitivity" or "Specificity"

Value

Returns the mean values for the metric selected

Author(s)

Alberto Almui?a

Examples

data<-k_fold_cross_validation(data = iris, target = 5, method = "k_fold", k_fold = 3, metric = "Sensitivity")

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