general.indexes: general.indexes

In PROMiDAT/trainR: Predictive Models Homologator

Description

Calculates the confusion matrix, overall accuracy, overall error and the category accuracy

Usage

general.indexes(newdata, prediction, mc = NULL)

Arguments

newdata	matrix or data frame of test data.
prediction	a prmdt prediction object.
mc	(optional) a matrix for calculating the indices. If mc is entered as parameter newdata and prediction are not necessary.

Value

A list with the confusion matrix, overall accuracy, overall error and the category accuracy. The class of this list is indexes.prmdt

Examples

data("iris")

n <- seq_len(nrow(iris))
.sample <- sample(n, length(n) * 0.75)
data.train <- iris[.sample,]
data.test <- iris[-.sample,]

modelo.knn <- train.knn(Species~., data.train)
modelo.knn
prob <- predict(modelo.knn, data.test, type = "prob")
prob
prediccion <- predict(modelo.knn, data.test, type = "class")
prediccion
general.indexes(data.test, prediccion)

PROMiDAT/trainR documentation built on Oct. 27, 2020, 8:33 p.m.