classification_error: Calculates the classification error
In deeplearning: An Implementation of Deep Neural Network for Regression and Classification
Description
This function calculates the classification error
Usage
1
classification_error(output, target)
Arguments
output
the output of a classifier in the form of probability. Probability > 1
will be treated as positive (target = 1).
target
the target variable
deeplearning documentation built on Jan. 15, 2017, 9:52 a.m.
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Description
This function calculates the classification error
Usage
1 | classification_error(output, target)
|
Arguments
output |
the output of a classifier in the form of probability. Probability > 1 will be treated as positive (target = 1). |
target |
the target variable |
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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