confusion: Calculate confusion matrix
In difuture-lmu/dsBinVal: ROC and Calibration Analysis for DataSHIELD
confusion R Documentation
Calculate confusion matrix
Description
This function calculates the confusion matrix.
Usage
confusion(truth_name, prob_name, threshold = 0.5)
Arguments
truth_name
('character(1L)') Character containing the name of the vector of 0-1-values
encoded as integer or numeric.
prob_name
('character(1L)') Character containing the name of the vector of probabilities.
threshold
('numeric(1L)') Threshold used to transform probabilities into classes (default = 0.5).
Value
Confusion matrix.
Author(s)
Daniel S.
difuture-lmu/dsBinVal documentation built on Oct. 9, 2024, 8:43 a.m.
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| confusion | R Documentation |
Calculate confusion matrix
Description
This function calculates the confusion matrix.
Usage
confusion(truth_name, prob_name, threshold = 0.5)
Arguments
truth_name |
('character(1L)') Character containing the name of the vector of 0-1-values encoded as integer or numeric. |
prob_name |
('character(1L)') Character containing the name of the vector of probabilities. |
threshold |
('numeric(1L)') Threshold used to transform probabilities into classes (default = 0.5). |
Value
Confusion matrix.
Author(s)
Daniel S.
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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