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After training is complete, the classification results are used to form a statistics report.

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Classification trigger types

  • If the class assigned to a page corresponds to a reference class, this is classified as a True Positive (TP) trigger.
  • If no class was assigned to a page with no reference class, this is classified as a True Negative (TN) trigger.
  • If the class assigned to a page does not correspond to a reference class, this is classified as a False Positive (FP) trigger.
  • If no class was assigned to a page that has a reference class, this is classified as a False Negative (FN) trigger.
As such, a tally is formed for each class, documenting the number of times it was:
  • Correctly assigned (TP)
  • Correctly not assigned (TN)
  • Incorrectly assigned (FP)
  • Incorrectly not assigned (FN)

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View the statistics

To view the statistics, select Classifier > Show statistics.

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Precision, recall, and F-measure

The higher the precision, recall, and the F-measure, the better the classification results are. For more information about how the F-measure is calculated, see the Glossary. The F-measure is a balanced measurement of both precision and recall and allows for a cumulative evaluation of the classification quality using these parameters. For more information about increasing the F-measure, see Tips for improving classification quality.

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Additional statistics tabs

For quality evaluation purposes, further statistics are also available in the following tabs.