<div dir="ltr"><div class="gmail_default" style="font-size:large;color:rgb(0,0,0)">Which of the following methods would you recommend to select good features (<=50) from a set of 534 features in order to train a MLPregressor? Please take into account that the datasets I use for training are small.<br></div><div class="gmail_default" style="font-size:large;color:rgb(0,0,0)"><br><a href="http://scikit-learn.org/stable/modules/feature_selection.html">http://scikit-learn.org/stable/modules/feature_selection.html</a><br><br></div><div class="gmail_default" style="font-size:large;color:rgb(0,0,0)">And please don't tell me to use a neural network that supports the dropout or any other algorithm for feature elimination. This is not applicable in my case because I want to know the best 50 features in order to append them to other types of feature that I am confident that are important.<br></div><div class="gmail_default" style="font-size:large;color:rgb(0,0,0)"><br clear="all"></div><br><div style="font-size:large;color:rgb(0,0,0)" class="gmail_default">cheers<br></div><div style="font-size:large;color:rgb(0,0,0)" class="gmail_default">Thomas</div><br><br>-- <br><div class="gmail_signature"><div dir="ltr"><div><div>
<p style="margin-bottom:0cm" align="LEFT"><span style="font-family:arial,helvetica,sans-serif"><font size="2">======================================================================</font></span></p>
<p style="margin-bottom:0cm" align="LEFT"><span style="font-family:arial,helvetica,sans-serif"><font size="2">Thomas Evangelidis</font></span></p>
<p style="margin-bottom:0cm" align="LEFT"><span style="font-family:arial,helvetica,sans-serif"><font size="2">Research Specialist<br></font></span></p><span style="font-family:arial,helvetica,sans-serif"><font size="2"><span style="color:rgb(0,0,0)">CEITEC - Central European Institute of Technology<br>Masaryk University<br>Kamenice 5/A35/1S081, <br>62500 Brno, Czech Republic <br></span></font></span></div><div dir="ltr"><br><p style="margin-bottom:0cm" align="LEFT"><span style="font-family:arial,helvetica,sans-serif"><font size="2">email: <a href="mailto:tevang@pharm.uoa.gr" target="_blank">tevang@pharm.uoa.gr</a></font></span></p>
<p style="margin-bottom:0cm" align="LEFT"><span style="font-family:arial,helvetica,sans-serif"><font size="2"> <a href="mailto:tevang3@gmail.com" target="_blank">tevang3@gmail.com</a></font></span></p>
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