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. 2012 Apr 4;19(e1):e137–e144. doi: 10.1136/amiajnl-2011-000751

Table 4.

Different strategies (BEST, CROSS, RANDOM, and ADAPT) to choose the model to predict test cases

Strategies Details
BEST
 E2E Trained on Edinburgh data (80%), evaluated on Edinburgh data (20%).
 S2S Trained on Sheffield data (80%), evaluated on Sheffield data (20%).
CROSS
 E2S Trained on Edinburgh data (80%), evaluated on Sheffield data (20%).
 S2E Trained on Sheffield data (80%), evaluated on Edinburgh data (20%).
RANDOM Pick a random model learned from either training set to evaluate a given test set.
ADAPT Use our proposed method to choose model.