RocAucBinary {fastai} | R Documentation |
RocAucBinary
Description
Area Under the Receiver Operating Characteristic Curve for single-label binary classification problems
Usage
RocAucBinary(
axis = -1,
average = "macro",
sample_weight = NULL,
max_fpr = NULL,
multi_class = "raise"
)
Arguments
axis |
axis |
average |
average |
sample_weight |
sample_weight |
max_fpr |
max_fpr |
multi_class |
multi_class |
Value
None
Examples
## Not run:
model = dls %>% tabular_learner(layers=c(200,100,100,200),
config = tabular_config(embed_p = 0.3, use_bn = FALSE),
metrics = list(accuracy, RocAucBinary(),
Precision(), Recall(),
F1Score()))
## End(Not run)
[Package fastai version 2.2.2 Index]