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. 2008 Sep 22;9:389. doi: 10.1186/1471-2105-9-389

Figure 1.

Figure 1

Two punting strategies. (A) Two classifiers are combined to produce a hybrid classifier with improved accuracy and coverage. The punting thresholds (T = [T1, ..., Tn]) are class-dependent and are set using held-out data. (B) This approach is similar to (A), except that using two vectors of punting thresholds – T1 for the primary classifier and T2 for the secondary classifier – allows the method sometimes to make no prediction at all.