Evaluation of Machine-Learning Algorithm Ranking Advisors

Abstract

Selecting the best-suited machine-learning classi cation algorithms for data-mining tasks is a meta-learning activity of the METAL project. Two alternative approaches for providing a user with an `advisor' a ranked preference list of algorithms have been implemented. In this paper results of experiments designed to test thoroughly the consistency of these… (More)

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