Yield (blue) and burden (red) curves for four learning strategies over the proton beam dataset as a function of the size of thetraining set. The thick lines are averages over 10 runs. Thin lines denote individual runs. Clockwise from the upper left, the strategies shown are: random sampling, SIMPLE, PAL, and PAL with aggressive undersampling. It is desirable to achieve maximum Yield while minimizing Burden. The upper right-corner (100% yield and 100% burden) corresponds to the manual approach of citation screening. Every point where Yield (the blue line) is at 1.0 and Burden (the red line) is less than 1.0 is thus progress. Note that Burden curves are U-shaped because classifiers trained on very small training sets tend to classify the majority of the unlabeled citations as "relevant" (due to our undersampling and cautious aggregation technique), and all citations classified as "relevant" must be subsequently screened by a human. When the training set is very large, the reviewers manually screen the majority of the citations during training.
Wallace et al. BMC Bioinformatics 2010 11:55 doi:10.1186/1471-2105-11-55