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Parameter estimation. The number of abstracts in the background and training sets has an impact on the ROC area for various biomedical topics. The y-axis shows the mean ROC area after leave-one-out cross validations over 10 random background sets using 1000 training set abstracts (left column), or 10 bootstrapped training sets using the rest of Medline as background set (right column).
