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Confidence scores are reliable indicators of accuracy. For the test2000 data set we binned the maximum entropy predictions by confidence score, the estimated probability of the predicted code given the document, and calculated accuracy on each subset. Each data point has an x-error bar indicating the size of the bin and a 95% confidence interval on the accuracy estimate. As the confidence score increases along the x-axis, the accuracy of the prediction increases.
