<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr">You can use a one-versus-all classifier and compute the average AUC across categories<div><br></div><div>HTH</div><div>JR</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, 10 Oct 2019 at 05:24, Maryam Zolfaghar <<a href="mailto:Maryam.Zolfaghar@colorado.edu">Maryam.Zolfaghar@colorado.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p><p></p><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><font face="arial, sans-serif" style="color:rgb(0,0,0)">Hi all, </font><div style="color:rgb(0,0,0)"><font face="arial, sans-serif"><br></font></div><div style="color:rgb(0,0,0)"><font face="arial, sans-serif">I am trying to </font></div><div><ul style="color:rgb(0,0,0)"><li><font face="arial, sans-serif">use decoders to decode whether ERP or time-frequency signals have any meaninful information of four classes (location of the target on the screen) in my experiment <b>over time </b>(according to <a href="https://mne.tools/stable/auto_tutorials/machine-learning/plot_sensors_decoding.html#decoding-over-time" target="_blank">this example</a>). </font></li><li><font face="arial, sans-serif"> and then test whether the output of the decoder is significantly above the chance (in my case: 1/4=0.25) using a permutation t-test with cluster-based correction.</font></li></ul><div style="color:rgb(0,0,0)"><font face="arial, sans-serif">My question is:</font></div><div><ul><li><font color="#000000" face="arial, sans-serif"><span>In <a href="https://mne.tools/stable/auto_tutorials/machine-learning/plot_sensors_decoding.html#decoding-over-time" target="_blank">the example</a> there are only two classes, so AUC was used. However, what if there are more than two classes? How I can analyze the significance of the decoder's output with the cluster-based correction? </span></font></li></ul><div><font color="#000000" face="arial, sans-serif"><span><br></span></font></div></div><div><font color="#000000" face="arial, sans-serif"><span>Thanks, </span></font></div><div><font color="#000000" face="arial, sans-serif"><span>-Mary</span></font></div><br></div></div></div><div dir="ltr" style="color:rgb(0,0,0)"></div></div></div></div></div>
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