The generally better performance displayed by our proposed system when evaluated using the G Q P -measure and its generally worse performance when evaluated using the -measure are not surprising, since we biased our system so that it classifies more data points as positive.
it is expected that our system will correctly discover new positive examples that were not discovered by Ada-Boost, but will incorrectly label as positive examples that are not positive.