Ranking Classi cation Algorithms with Dataset Selection: Using Accuracy and Time Results

Abstract

Given that wide variety of available classiication algorithms exists, the selection of the right algorithm to use on a new problem is an important issue. In this paper we present zooming, that analyzes a given dataset and selects relevant (similar) datasets used in the past. This process is based on the \distance" calculated on the basis of several dataset… (More)

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