A Hybrid Technique for creating classification model using Random Committee and Voted Perceptron Classifier
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Various researchers were experimenting with various manual or automated data sets, sometimes we found that due to high error rate various classification tasks of data mining lands into failure zone. This paper tries to give an hybrid approach for reducing error rate during classification tasks with the help of combination of classifiers. All these algorithms are experimented in weka tool. Each algorithm is performed on same data set. It is illustrated that combination of classifiers work better than individual classifiers on some performance measures.
Authors and Affiliations
Prashant Sahu, Rohit Miri
Keywords
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