{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T09:07:12Z","timestamp":1765357632280,"version":"build-2065373602"},"reference-count":38,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100018818","name":"National Research, Development and Innovation Office","doi-asserted-by":"publisher","award":["2022-1.1.1-KK-2022-00002"],"award-info":[{"award-number":["2022-1.1.1-KK-2022-00002"]}],"id":[{"id":"10.13039\/501100018818","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>This paper highlights that metrics from the machine learning field (e.g., entropy and information gain) used to qualify a classifier model can be used to evaluate the effectiveness of separation systems. To evaluate the efficiency of separation systems and their operation units, entropy- and information gain-based metrics were developed. The receiver operating characteristic (ROC) curve is used to determine the optimal cut point in a separation system. The proposed metrics are verified by simulation experiments conducted on the stochastic model of a waste-sorting system.<\/jats:p>","DOI":"10.3390\/e26070571","type":"journal-article","created":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T09:01:39Z","timestamp":1719910899000},"page":"571","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9817-7079","authenticated-orcid":false,"given":"\u00c9va","family":"Kenyeres","sequence":"first","affiliation":[{"name":"HUN-REN-PE Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, Egyetem u. 10, P.O. Box 158, H-8200 Veszpr\u00e9m, Hungary"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6550-5101","authenticated-orcid":false,"given":"Alex","family":"Kummer","sequence":"additional","affiliation":[{"name":"HUN-REN-PE Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, Egyetem u. 10, P.O. Box 158, H-8200 Veszpr\u00e9m, Hungary"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8593-1493","authenticated-orcid":false,"given":"J\u00e1nos","family":"Abonyi","sequence":"additional","affiliation":[{"name":"HUN-REN-PE Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, Egyetem u. 10, P.O. Box 158, H-8200 Veszpr\u00e9m, Hungary"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3825","DOI":"10.1002\/aic.13779","article-title":"On separation efficiency","volume":"58","author":"Cussler","year":"2012","journal-title":"AIChE J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1016\/j.apt.2021.03.015","article-title":"Discrete element numerical simulation of fly ash triboelectrostatic separation in a nonlinear electric field","volume":"32","author":"Haoran","year":"2021","journal-title":"Adv. Powder Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1088\/0034-4885\/67\/3\/R01","article-title":"Size separation in vibrated granular matter","volume":"67","author":"Kudrolli","year":"2004","journal-title":"Rep. Prog. 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