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https://issues.apache.org/jira/browse/OPENNLP-155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13023178#comment-13023178
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Jörn Kottmann commented on OPENNLP-155:
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I assume the updates you did for this change went into the PerceptronTrainer
class.
After applying this change and doing the evaluation on a pos data set, I
noticed that the accuracy is 2% higher than before, can you quickly explain how
this change affects the accuracy?
BTW, the diff is difficult to read because you changed many white spaces and
did minor reformatting here and there.
> unreliable training set accuracy in perceptron
> ----------------------------------------------
>
> Key: OPENNLP-155
> URL: https://issues.apache.org/jira/browse/OPENNLP-155
> Project: OpenNLP
> Issue Type: Improvement
> Components: Maxent
> Affects Versions: maxent-3.0.1-incubating
> Reporter: Jason Baldridge
> Assignee: Jason Baldridge
> Priority: Minor
> Original Estimate: 0h
> Remaining Estimate: 0h
>
> The training accuracies reported during perceptron training were much higher
> than final training accuracy, which turned out to be an artifact of the way
> training examples were ordered.
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