A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters

Chettan Kumar, Martin Käppel, Nicolai Schützenmeier, Philipp Eisenhuth, Stefan Jablonski

Abstract

In this paper, we present a new cheat sheet based approach to select an adequate machine learning algorithm. However, we extend existing cheat sheet approaches at two ends. We incorporate two different perspectives towards the machine learning problem while simultaneously increasing the number of parameters decisively. For each family of machine learning algorithms (e.g. regression, classification, clustering, and association learning) we identify individual parameters that describe the machine learning problem accurately. We arrange those parameters in a table and assess known machine learning algorithms in such a table. Our cheat sheet is implemented as a web application based on the information of the presented tables.

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Paper Citation


in Harvard Style

Kumar C., Käppel M., Schützenmeier N., Eisenhuth P. and Jablonski S. (2019). A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters.In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 408-415. DOI: 10.5220/0008117404080415


in Bibtex Style

@conference{data19,
author={Chettan Kumar and Martin Käppel and Nicolai Schützenmeier and Philipp Eisenhuth and Stefan Jablonski},
title={A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2019},
pages={408-415},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008117404080415},
isbn={978-989-758-377-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters
SN - 978-989-758-377-3
AU - Kumar C.
AU - Käppel M.
AU - Schützenmeier N.
AU - Eisenhuth P.
AU - Jablonski S.
PY - 2019
SP - 408
EP - 415
DO - 10.5220/0008117404080415