The effective interaction of the models of classification with the usage of auction heuristics

Abstract

The article proposes the approach that allows to make multi-model systems of classification systems more suitable for solving the practical problems in the field of information technologies. To achieve this, it was necessary to provide a stable system response time to support SLA (service-level agree-ment) and, on the other hand, to minimize the downtime of server hardware. The first requirement would allow to give the requests correctly and quickly to the client, and the second one would make the cost of renting servers more justified. The main idea of the proposed approach is to obtain the pre-dictions with the highest possible accuracy in a fixe time. We considered three auction models: Dutch auction (rate decreasing), English auction (rate increasing) and the adapted version of Vickrey auction (highest rate switched off). In all cases, we used the highest probability of the mark as a rate, and we set a time parameter, after which the prediction is recognized as final. The obtained results and their comparison with the methods of ensembling and balancing allow us to conclude that the proposed approaches can be use-ful in the development of multi-model systems of classification.