Confusion Matrix

A function to compute the confusion matrix of two classification vectors. It can be useful for evaluating discriminant analysis or other classification systems.

confusionmatrix(obs, predict)

Arguments

obs	a vector containing the observed classes.
predict	a vector with the same length of obs containing the predicted classes.

Value

A square matrix containing the number of objects in each class, observed (rows) and predicted (columns). Diagonal elements refers to agreement of obs and predict.

Author

Anderson Rodrigo da Silva <anderson.agro@hotmail.com>

See also

aer, lda

Examples

data(iris)
da <- lda(Species ~ ., data = iris)
pred <- predict(da, dimen = 1)
confusionmatrix(iris$Species, pred$class)
#>            new setosa new versicolor new virginica
#> setosa             50              0             0
#> versicolor          0             48             2
#> virginica           0              0            50

# End (not run)