Local Grading of Learners

We propose a technique of localized grading of weak classifiers. This technique identifies local regions having similar characteristics and then uses grading of weak classifiers to describe the relationship between the data characteristics and the target class. Our experiment for several UCI datasets shows that the proposed combining method outperforms other combining methods we tried as well as any base classifier.