sits (version 0.10.0)

sits_conf_matrix: Accuracy assessment of classification based on a confusion matrix

Description

Evaluates the confusion matrix based on "reference" and "predicted" values provided in a sits tibble that has been classified. This function takes two kinds of input: (a) The output of the sits_classify function (a tibble with a list of predicted values); (b) The output of the sits_kfold_validate function (a tibble with two columns - predicted and reference). This function returns the Overall Accuracy, User's Accuracy, Producer's Accuracy, error matrix (confusion matrix), and Kappa value.

Usage

sits_conf_matrix(data, conv_lst = NULL)

Arguments

data

Set of classified samples whose labels are known.

conv_lst

List with labels to be converted. If NULL no conversion is done.

Value

A confusion matrix assessment produced by the caret package.

Examples

# NOT RUN {
# read a tibble with 400 samples of Cerrado and 346 samples of Pasture
data(cerrado_2classes)
# perform a 2 fold validation of this sample file
pred_ref <- sits_kfold_validate(cerrado_2classes,
    folds = 2,
    ml_method = sits_rfor(num_trees = 300)
)
# calculate and print the confusion matrix
conf_matrix <- sits_conf_matrix(pred_ref)
# }