acc {mlr3measures} | R Documentation |
Classification Accuracy
Description
Measure to compare true observed labels with predicted labels in multiclass classification tasks.
Usage
acc(truth, response, sample_weights = NULL, ...)
Arguments
truth |
( |
response |
( |
sample_weights |
( |
... |
( |
Details
The Classification Accuracy is defined as
Value
Performance value as numeric(1)
.
Meta Information
Type:
"classif"
Range:
Minimize:
FALSE
Required prediction:
response
See Also
Other Classification Measures:
bacc()
,
ce()
,
logloss()
,
mauc_aunu()
,
mbrier()
,
mcc()
,
zero_one()
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)
[Package mlr3measures version 0.6.0 Index]