That is , if the current hypothesis is unable to label a candidate or is uncertain about it , then the candidate might be a good training example ( Lewis and Catlett 1994 ) .
heterogeneous uncertainty sampling for supervised learning
David D Lewis Jason Catlett
Performance of the hypothesis : Testing the candidates on the current working hypothesis shows the type of input data on which the hypothesis may perform weakly . That is , if the current hypothesis is unable to label a candidate or is uncertain about it , then the candidate might be a good training example ( Lewis and Catlett 1994 ) . The underlying assumption is that an uncertain output is likely to be wrong .
That is , if the current hypothesis is unable to label a candidate or is uncertain about it , then the candidate might be a good training example ( @@CITATION ) .