evaluate_classification: Get performance metrics for classification predictions
In healthcareai: Tools for Healthcare Machine Learning
evaluate_classification R Documentation
Get performance metrics for classification predictions
Description
Get performance metrics for classification predictions
Usage
evaluate_classification(predicted, actual)
Arguments
predicted
Vector of predicted probabilities
actual
Vector of realized outcomes, must be 0/1
Value
Numeric vector of scores with metric as names
Examples
evaluate_classification(c(.7, .1, .6, .9, .4), c(1, 0, 0, 1, 1))
healthcareai documentation built on Sept. 5, 2022, 5:12 p.m.
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| evaluate_classification | R Documentation |
Get performance metrics for classification predictions
Description
Get performance metrics for classification predictions
Usage
evaluate_classification(predicted, actual)
Arguments
predicted |
Vector of predicted probabilities |
actual |
Vector of realized outcomes, must be 0/1 |
Value
Numeric vector of scores with metric as names
Examples
evaluate_classification(c(.7, .1, .6, .9, .4), c(1, 0, 0, 1, 1))
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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