Results of testing: classification of unlabelled texts.

Precision (positive predictive value) is the percentage of texts positively classified by the algorithm that are true positive, and recall (sensitivity) is the percentage of all positive texts correctly classified as positive by the algorithm. F score is the harmonic mean of precision and recall. Figures in parentheses are 95% confidence intervals.