mattcc: Compute Matthews Correlation Coefficient
In PriceLab/FPML: Footprint Machine Learning
Description
Usage
Arguments
Value
Description
Given the true classes and predicted classes, compute Matthews Correlation Coefficient
Usage
1
mattcc(true_classes, predicted_classes)
Arguments
true_classes
A binary vector of classes that indicate the true classification of each
point
predicted_classes
A binary vector of classes that indicate the predicted classification
of each point
Value
The Matthews Correlation Coefficient for the given prediction/truth sets
PriceLab/FPML documentation built on May 28, 2019, 2:25 p.m.
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Description Usage Arguments Value
Description
Given the true classes and predicted classes, compute Matthews Correlation Coefficient
Usage
1 | mattcc(true_classes, predicted_classes)
|
Arguments
true_classes |
A binary vector of classes that indicate the true classification of each point |
predicted_classes |
A binary vector of classes that indicate the predicted classification of each point |
Value
The Matthews Correlation Coefficient for the given prediction/truth sets
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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