3 datasets found
  1. f

    A comparison of the RN-SMOTE, SMOTE-Tomek Link, SMOTE-ENN, and the proposed...

    • plos.figshare.com
    xls
    Updated Feb 10, 2025
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    Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari (2025). A comparison of the RN-SMOTE, SMOTE-Tomek Link, SMOTE-ENN, and the proposed 1CRN-SMOTE methods on the ILPD and QSAR datasets is presented, based on various classification metrics using the Random Forest classifier. [Dataset]. http://doi.org/10.1371/journal.pone.0317396.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A comparison of the RN-SMOTE, SMOTE-Tomek Link, SMOTE-ENN, and the proposed 1CRN-SMOTE methods on the ILPD and QSAR datasets is presented, based on various classification metrics using the Random Forest classifier.

  2. f

    A comparison of the CRN-SMOTE and RN-SMOTE methods on the health risk...

    • plos.figshare.com
    xls
    Updated Feb 10, 2025
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    Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari (2025). A comparison of the CRN-SMOTE and RN-SMOTE methods on the health risk dataset based on different classification metrics using the Random Forest classifier. [Dataset]. http://doi.org/10.1371/journal.pone.0317396.t009
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A comparison of the CRN-SMOTE and RN-SMOTE methods on the health risk dataset based on different classification metrics using the Random Forest classifier.

  3. f

    The average values of evaluation metrics on ILDP, QSAR, Blood and Health...

    • plos.figshare.com
    xls
    Updated Feb 10, 2025
    + more versions
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    Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari (2025). The average values of evaluation metrics on ILDP, QSAR, Blood and Health risk imbalanced datasets using ADA classifiers and 10-fold cross validation methodology. [Dataset]. http://doi.org/10.1371/journal.pone.0317396.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The average values of evaluation metrics on ILDP, QSAR, Blood and Health risk imbalanced datasets using ADA classifiers and 10-fold cross validation methodology.

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Share
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Click to copy link
Link copied
Close
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Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari (2025). A comparison of the RN-SMOTE, SMOTE-Tomek Link, SMOTE-ENN, and the proposed 1CRN-SMOTE methods on the ILPD and QSAR datasets is presented, based on various classification metrics using the Random Forest classifier. [Dataset]. http://doi.org/10.1371/journal.pone.0317396.t007

A comparison of the RN-SMOTE, SMOTE-Tomek Link, SMOTE-ENN, and the proposed 1CRN-SMOTE methods on the ILPD and QSAR datasets is presented, based on various classification metrics using the Random Forest classifier.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Feb 10, 2025
Dataset provided by
PLOS ONE
Authors
Javad Hemmatian; Rassoul Hajizadeh; Fakhroddin Nazari
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

A comparison of the RN-SMOTE, SMOTE-Tomek Link, SMOTE-ENN, and the proposed 1CRN-SMOTE methods on the ILPD and QSAR datasets is presented, based on various classification metrics using the Random Forest classifier.

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