ClassificationReport Class Reference

Reports various measures of classification accuracy. More...

#include <ClassificationReport.h>

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Detailed Description

Reports various measures of classification accuracy.

This MarSystem typically follows a classification MarSystem and output various measures used to evaluate the accuracy of a classifier for a particular dataset. These include accuracy, error-rate, the confusion matrix. When the mode control is set to "predict" then the classification decisions are tracked and the measures are computed until the done control is set to true. Then the measures are displayed to stdout. The formatting is similar to the one used by the Weka machine learning software.

This MarSystem typically follows a classification MarSystem and output various measures used to evaluate the accuracy of a classifier for a particular dataset. These include accuracy, error-rate, the confusion matrix. When the mode control is set to "predict" then the classification decisions are tracked and the measures are computed until the done control is set to true. Then the measures are displayed to stdout. The formatting is similar to the one used by the Weka machine learning software.

Controls:

• mrs_bool/regression [w] : output regression statistics instead of classication

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The documentation for this class was generated from the following file:

• /home/marsyas/marsyas/src/marsyas/ClassificationReport.cpp