4. The method of claim 1 , further comprising generating a second binary decision model by training the binary classifier using the plurality of training documents and the confirmation or the negation of the classification label of the most relevant example of the classified test documents.
4. The method of claim 1 , further comprising generating a second binary decision model by training the binary classifier using the plurality of training documents and the confirmation or the negation of the classification label of the most relevant example of the classified test documents. 6. The method of claim 4 , wherein the confirmation or the negation of the classification label of the most relevant example of the classified test documents is the single example of user input used in generating the second binary decision model.