Classification measure defined as $$ \frac{1}{n} \sum_{i=1}^n \left( t_i = r_i \right). $$

acc(truth, response, ...)

Arguments

truth

:: factor()
True (observed) labels. Must have the same levels and length as response.

response

:: factor()
Predicted response labels. Must have the same levels and length as truth.

...

:: any
Additional arguments. Currently ignored.

Value

Performance value as numeric(1).

Meta Information

  • Type: "classif"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: response

See also

Other Classification Measures: bacc(), ce(), logloss(), mauc_aunu(), mbrier()

Examples

set.seed(1) lvls = c("a", "b", "c") truth = factor(sample(lvls, 10, replace = TRUE), levels = lvls) response = factor(sample(lvls, 10, replace = TRUE), levels = lvls) acc(truth, response)
#> [1] 0.2