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acc

Classification Accuracy

Description

Classification measure defined as

mean(t == r).

Usage

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)
mlr3measures

Performance Measures for 'mlr3'

v0.3.1
LGPL-3
Authors
Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Martin Binder [ctb]
Initial release

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