{
  "abstract": "The objective was to compare the performance of various data mining algorithms in estimating the body weight of fish. The effects of age, farm type and body morphological characteristics on the body weight of the hybrid silver carp (Hypophthalmichthys spp.) were analyzed using some data mining methods. The body weight of the fish was predicted using different morphological measurements taken during its lifetime and after slaughter. Prediction performances of the Chi-Squared Automatic Interaction Detector (CHAID), Classification and Regression Trees (CART), Artificial Neural Networks (ANN), Random Forest (RF), and Multivariate Adaptive Regression Splines (MARS) algorithms were compared. The prediction capabilities of the fitted models were assessed using model fit statistics. The MARS algorithm was demonstrated to be the most effective model for characterizing body weight. Body length showed the greatest relative importance among all traits measured during the fish's lifetime. When the body length of fish exceeds 145 mm, the body weight is expected to reach 173 g. The MARS algorithm is the most effective model for predicting the body weight of fish, based on the experimental data. It provides an excellent alternative to existing data mining techniques.",
  "abstract_shown": true,
  "affiliations": [
    "Biometry and Genetics Unit, Department of Animal Science, Faculty of Agriculture, Bingöl University, Bingöl 12000, Türkiye.",
    "Department of Animal Science, Centre for Sustainable Agriculture and Rural Development, Faculty of Agriculture, Nasarawa State University, Shabu-Lafia Campus, Lafia 950101, Nigeria.",
    "Department of Hydrobiology and Ichthyology, Faculty of Animal Science and Water Bioresources, National University of Life and Environmental Sciences of Ukraine, Horikhuvats'kyy Shlyakh 19, 03041 Kyiv, Ukraine.",
    "Department of Aquculture, Faculty of Animal Science and Water Bioresources, National University of Life and Environmental Sciences of Ukraine, Horikhuvats'kyy Shlyakh 19, 03041 Kyiv, Ukraine.",
    "Department of Applied Biology, Animal Breeding and Genetics, Faculty of Animal Science and Water Bioresources, National University of Life and Environmental Sciences of Ukraine, Horikhuvats'kyy Shlyakh 19, 03041 Kyiv, Ukraine.",
    "Department of Animal Technology, Faculty of Animal Science and Water Bioresources, National University of Life and Environmental Sciences of Ukraine, Heroiv Oborony St, 12A, 03041 Kyiv, Ukraine.",
    "Department of Molecular Sciences, Swedish University of Agricultural Sciences, P.O. BOX 7015, 750 07 Uppsala, Sweden."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Şenol Çelik"
    },
    {
      "affs": [
        1
      ],
      "name": "Abdulmojeed Yakubu",
      "orcid": "0000-0002-0700-9361"
    },
    {
      "affs": [
        2
      ],
      "name": "Alina Makarenko"
    },
    {
      "affs": [
        2
      ],
      "name": "Ruslan Kononenko"
    },
    {
      "affs": [
        3
      ],
      "name": "Iryna Kononenko"
    },
    {
      "affs": [
        4
      ],
      "name": "Andriy Getya",
      "orcid": "0000-0002-4747-9261"
    },
    {
      "affs": [
        5
      ],
      "name": "Mykhailo Matvieiev",
      "orcid": "0000-0003-1281-9032"
    },
    {
      "affs": [
        5
      ],
      "name": "Nataliia Hryshchenko"
    },
    {
      "affs": [
        6
      ],
      "name": "Galia Zamaratskaia",
      "orcid": "0000-0003-0926-4849"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8mzhn30fv4ayh.bib",
  "cited_by": 0,
  "doi": "10.3390/ani16193124",
  "fulltext_url": "https://europepmc.org/articles/PMC13663363",
  "id": "8mzhn30fv4ayh",
  "issns": [
    "2076-2615"
  ],
  "landing_url": "https://europepmc.org/article/MED/42883093",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1104|Fish Biology and Ecology Studies"
    ]
  ],
  "openalex": "W7220402509",
  "pdf_url": "https://europepmc.org/articles/PMC13663363?pdf=render",
  "pmcid": "PMC13663363",
  "pmid": "42883093",
  "published": "2026-10-05",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/8mzhn30fv4ayh.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:00Z",
      "native_id": "MED:42883093",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42883093"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1104|Fish Biology and Ecology Studies",
      "subfield": "ecology"
    }
  ],
  "title": "Estimating Fish Body Weight from Morphological Features Using Some Data Mining Algorithms.",
  "title_text": "Estimating Fish Body Weight from Morphological Features Using Some Data Mining Algorithms.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:00Z",
  "url": "https://research.draconitic.com/paper/8mzhn30fv4ayh",
  "venue": "Animals : an open access journal from MDPI",
  "versions": []
}