accuracy: Accuracy
In nikitagusarov/performancer: Performance Metrics for Discrete Choice Analysis
accuracy R Documentation
Accuracy
Description
Compute Accuracy using confusion matrix.
Accuracy the describes the fraction of correctly classified instances in the test set.
Usage
accuracy(confusion_matrix, r = NULL)
Arguments
confusion_matrix
Confusion matrix to be used.
r
Skew Ratio parameter, which is required to calculate skew-sensitive form of Accuracy,
which is a class specific measure.
In the case of symmetric misclassification cost (in absence of knowledge about costs),
'r' can represent the class ratio.
In the event of 'r' representing the class ratio,
it can be seen that a value of 'r' less than unity weighs the positive examples more than the negative ones and vice versa.
Default to NULL, which calculates overall (class-insensitive) accuracy.
Value
integer value of Accuracy
nikitagusarov/performancer documentation built on Jan. 12, 2023, 12:19 a.m.
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| accuracy | R Documentation |
Accuracy
Description
Compute Accuracy using confusion matrix. Accuracy the describes the fraction of correctly classified instances in the test set.
Usage
accuracy(confusion_matrix, r = NULL)
Arguments
confusion_matrix |
Confusion matrix to be used. |
r |
Skew Ratio parameter, which is required to calculate skew-sensitive form of Accuracy, which is a class specific measure. In the case of symmetric misclassification cost (in absence of knowledge about costs), 'r' can represent the class ratio. In the event of 'r' representing the class ratio, it can be seen that a value of 'r' less than unity weighs the positive examples more than the negative ones and vice versa. Default to NULL, which calculates overall (class-insensitive) accuracy. |
Value
integer value of Accuracy
R Package Documentation
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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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