themis

themis-package

A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <a href="https://arxiv.org/abs/1106.1813">arXiv:1106.1813</a>, BorderlineSMOTE 2005 tools:::Rd_expr_doi("10.1007/11538059_91") and ADASYN 2008 <a href="https://ieeexplore.ieee.org/document/4633969">https://ieeexplore.ieee.org/document/4633969</a>. Or by decreasing the number of majority cases using NearMiss 2003 <a href="https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf">https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf</a> or Tomek link removal 1976 <a href="https://ieeexplore.ieee.org/document/4309452">https://ieeexplore.ieee.org/document/4309452</a>.

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A dataset with an uneven number of cases in each class is
said to be unbalanced. Many models produce a subpar performance on
unbalanced datasets. A dataset can be balanced by increasing the
number of minority cases using SMOTE 2011 <arXiv:1106.1813>,
BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008
<https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the
number of majority cases using NearMiss 2003
<https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.

Emil Hvitfeldt

Extra Recipes Steps for Dealing with Unbalanced Data

themis-package function

Maintainer: Emil Hvitfeldt <a href="/link/emilhhvitfeldt%40gmail.com?package=themis&version=1.0.0" data-mini-rdoc="themis::emilhhvitfeldt@gmail.com">emilhhvitfeldt@gmail.com</a> (<a href="https://orcid.org/0000-0002-0679-1945">ORCID</a>)

Author

A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <a href='https://arxiv.org/abs/1106.1813'>arXiv:1106.1813</a>, BorderlineSMOTE 2005 tools:::Rd_expr_doi("10.1007/11538059_91") and ADASYN 2008 <a href='https://ieeexplore.ieee.org/document/4633969'>https://ieeexplore.ieee.org/document/4633969</a>. Or by decreasing the number of majority cases using NearMiss 2003 <a href='https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf'>https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf</a> or Tomek link removal 1976 <a href='https://ieeexplore.ieee.org/document/4309452'>https://ieeexplore.ieee.org/document/4309452</a>.

themis: Extra Recipes Steps for Dealing with Unbalanced Data — themis-package

Maintainer: Emil Hvitfeldt <a href='mailto:emilhhvitfeldt@gmail.com'>emilhhvitfeldt@gmail.com</a> (<a href='https://orcid.org/0000-0002-0679-1945'>ORCID</a>)

themis-package: themis: Extra Recipes Steps for Dealing with Unbalanced Data

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