Analysis of the Dependence of the Performance of the Ensemble on the Accuracy of its Individual Models

DOI

10.2991/mdsmes-19.2019.70How to use a DOI?

Keywords

Ensemble (committee) of models, probability of a correct classification, surface of probabilities

Abstract

The article devoted to studying the problem of finding methods to increase modeling efficiency by combining the results of calculations of several models. Conditions of expediency of creation of ensemble of models for the solution of the problem of binary classification are investigated. The theoretical basis for the dependence of the ensemble efficiency on the accuracy of the models that form it is studied. Suggestions are given for creating an ensemble of models and increasing its effectiveness.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Inesa Khvostina
AU  - Andriy Matviychuk
AU  - Svitlana Savina
AU  - Oleh Yatsiuk
PY  - 2019/10
DA  - 2019/10
TI  - Analysis of the Dependence of the Performance of the Ensemble on the Accuracy of its Individual Models
BT  - Proceedings of the 2019 7th International Conference on Modeling, Development and Strategic Management of Economic System (MDSMES 2019)
PB  - Atlantis Press
SP  - 371
EP  - 375
SN  - 2352-5428
UR  - https://doi.org/10.2991/mdsmes-19.2019.70
DO  - 10.2991/mdsmes-19.2019.70
ID  - Khvostina2019/10
ER  -