knn_classifier: knn Classifier

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

Description

Application of knn algorithm for classification

Usage

knn_classifier(data = NULL, p_train = NULL, train = NULL,
  test = NULL, k = 3, target = is.numeric(),
  dist_method = "euclidean", probs = F)

Arguments

data	Dataframe that will be used
p_train	Percentage of rows that will be used as train
train	Dataset used as train set (Only when data and p_train are NULL)
test	Dataset used as test set (Only when data and p_train are NULL)
k	Number of neighbors used
target	Integer with the column number of the target variable
dist_method	Method to calculate the distance between data. Only "Euclidean" available
probs	If TRUE, the results are given in probability. Default is FALSE.

Value

Returns a list with the original dataset + predicted values and a confusion matrix with several data.

Author(s)

Alberto Almui?a

Examples

data<-knn(data = iris, p_train = 0.7, target = 5, k = 3)

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