Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning
TABLE II: Stopping Percents automatically determined during active learning by using the Stabilizing Predictions (SP) method from [14]
['Dataset', 'Stopping Percent']
the TPC is reduced to 10% from the previously used 15% since our results showed it could be pushed back to about 10% without sacrificing large amounts of forecast quality. However, the stopping percent is even smaller than this reduced TPC, showing that it would be practically valuable to develop new forecasting methods that can forecast with higher quality earlier than the current state-of-the-art approach.