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List: wekalist
Subject: Re: [Wekalist] Classification threshold selection with Random Forest
From: Alex De Felipe <alexdefelipe () gmail ! com>
Date: 2019-05-14 7:04:37
Message-ID: CAD+5K00Gi6h4DUfDn6vLwfQh3rR_tDtrPR==ygsvf0qQChoVkQ () mail ! gmail ! com
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Yes, that could be a possible solution.
Thank you for your help,
Cheers
El lun., 13 may. 2019 a las 12:33, Eibe Frank (<eibe@waikato.ac.nz>)
escribió:
> No, it doesn't, you are right.
>
>
>
> What you could perhaps do instead, depending on the classification that
> you are working on, is use CostSensitiveClassifier (setting it to
> minimum-expected-cost mode) in conjunction with an appropriately chosen
> cost matrix. This will always assign a classification though (the minimum
> cost one, as calculated using the classifier's class probability estimates
> and the cost matrix).
>
>
>
> Cheers,
>
> Eibe
>
>
>
> *From: *alexdefelipe <alexdefelipe@gmail.com>
> *Sent: *Monday, 13 May 2019 10:22 PM
> *To: *wekalist@list.waikato.ac.nz
> *Subject: *[Wekalist] Classification threshold selection with Random
> Forest
>
>
>
> Hi all,
>
>
>
> I'm working with Weka's Java API in a multiclass classification problem. I
>
> was wondering if there is a way to get Random Forest's scores for
>
> classification threshold selection. I've already tried ThresholdSelector's
>
> class, but it seems that it doesn't support multiclass labels, does it?
>
>
>
> Thank you
>
>
>
>
>
>
>
> --
>
> Sent from: http://weka.8497.n7.nabble.com/
>
> _______________________________________________
>
> Wekalist mailing list
>
> Send posts to: Wekalist@list.waikato.ac.nz
>
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>
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>
>
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>
--
*Álex De Felipe*
*Graduado en Ingeniería Biomédica por la Universidad Politécnica de
Valencia*
*.*
*Estudiante del Máster de Tecnologías web, computación en la nube y
aplicaciones móviles en la UV*
[Attachment #5 (text/html)]
<div dir="ltr">Yes, that could be a possible solution.<div><br></div><div>Thank you \
for your help,</div><div><br></div><div>Cheers</div></div><br><div \
class="gmail_quote"><div dir="ltr" class="gmail_attr">El lun., 13 may. 2019 a las \
12:33, Eibe Frank (<<a \
href="mailto:eibe@waikato.ac.nz">eibe@waikato.ac.nz</a>>) \
escribió:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px \
0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div lang="EN-NZ"><div \
class="gmail-m_-7148190815545058716WordSection1"><p class="MsoNormal">No, it doesn't, \
you are right. </p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">What \
you could perhaps do instead, depending on the classification that you are working \
on, is use CostSensitiveClassifier (setting it to minimum-expected-cost mode) in \
conjunction with an appropriately chosen cost matrix. This will always assign a \
classification though (the minimum cost one, as calculated using the classifier's \
class probability estimates and the cost matrix). </p><p class="MsoNormal"><u></u> \
<u></u></p><p class="MsoNormal">Cheers,</p><p class="MsoNormal">Eibe</p><p \
class="MsoNormal"><u></u> <u></u></p><div \
style="border-right:none;border-bottom:none;border-left:none;border-top:1pt solid \
rgb(225,225,225);padding:3pt 0cm 0cm"><p class="MsoNormal" \
style="border:none;padding:0cm"><b>From: </b><a href="mailto:alexdefelipe@gmail.com" \
target="_blank">alexdefelipe</a><br><b>Sent: </b>Monday, 13 May 2019 10:22 \
PM<br><b>To: </b><a href="mailto:wekalist@list.waikato.ac.nz" \
target="_blank">wekalist@list.waikato.ac.nz</a><br><b>Subject: </b>[Wekalist] \
Classification threshold selection with Random Forest</p></div><p \
class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Hi all,</p><p \
class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">I'm working with \
Weka's Java API in a multiclass classification problem. I</p><p \
class="MsoNormal">was wondering if there is a way to get Random Forest's scores \
for</p><p class="MsoNormal">classification threshold selection. I've already \
tried ThresholdSelector's</p><p class="MsoNormal">class, but it seems that it \
doesn't support multiclass labels, does it?</p><p class="MsoNormal"><u></u> \
<u></u></p><p class="MsoNormal">Thank you</p><p class="MsoNormal"><u></u> \
<u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> \
<u></u></p><p class="MsoNormal">--</p><p class="MsoNormal">Sent from: <a \
href="http://weka.8497.n7.nabble.com/" \
target="_blank">http://weka.8497.n7.nabble.com/</a></p><p \
class="MsoNormal">_______________________________________________</p><p \
class="MsoNormal">Wekalist mailing list</p><p class="MsoNormal">Send posts to: <a \
href="mailto:Wekalist@list.waikato.ac.nz" \
target="_blank">Wekalist@list.waikato.ac.nz</a></p><p class="MsoNormal">To subscribe, \
unsubscribe, etc., visit <a \
href="https://list.waikato.ac.nz/mailman/listinfo/wekalist" \
target="_blank">https://list.waikato.ac.nz/mailman/listinfo/wekalist</a></p><p \
class="MsoNormal">List etiquette: <a \
href="http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html" \
target="_blank">http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html</a></p><p \
class="MsoNormal"><u></u> \
<u></u></p></div></div>_______________________________________________<br> Wekalist \
mailing list<br> Send posts to: <a href="mailto:Wekalist@list.waikato.ac.nz" \
target="_blank">Wekalist@list.waikato.ac.nz</a><br> To subscribe, unsubscribe, etc., \
visit <a href="https://list.waikato.ac.nz/mailman/listinfo/wekalist" rel="noreferrer" \
target="_blank">https://list.waikato.ac.nz/mailman/listinfo/wekalist</a><br> List \
etiquette: <a href="http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html" \
rel="noreferrer" target="_blank">http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html</a><br>
</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr" \
class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div \
dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><u><b>Álex De \
Felipe</b></u><br></div><div><i>Graduado en Ingeniería Biomédica por la Universidad \
Politécnica de Valencia</i><i>.<br></i></div><div><i>Estudiante del Máster de \
Tecnologías web, computación en la nube y aplicaciones móviles en la \
UV</i></div></div></div></div></div></div></div></div></div></div></div>
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