evaluate_class: Evaluate Class
In FACT: Feature Attributions for ClusTering
View source: R/classification_measure.R
evaluate_class R Documentation
Evaluate Class
Description
Calculation of binary similarity metric based on confusion matrix.
Usage
evaluate_class(actual, predicted, metric = "f1")
calculate_confusion(actual, predicted)
Arguments
actual
numeric
initial cluster assignments
predicted
numeric
cluster assignments of permuted data
metric
character(1)
binary score metric
Value
A binary score for each of the clusters and the number of instances.
Functions
-
calculate_confusion(): Calculate confusion matrix
FACT documentation built on May 29, 2024, 1:41 a.m.
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View source: R/classification_measure.R
| evaluate_class | R Documentation |
Evaluate Class
Description
Calculation of binary similarity metric based on confusion matrix.
Usage
evaluate_class(actual, predicted, metric = "f1")
calculate_confusion(actual, predicted)
Arguments
actual |
|
predicted |
|
metric |
|
Value
A binary score for each of the clusters and the number of instances.
Functions
-
calculate_confusion(): Calculate confusion matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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