<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">hi,<div><br></div><div>it's not using the same input features for the logistic regression.</div><div>It's not surprising that pyriemann offers improved performance.</div><div>See published literature on this topic.</div><div><br></div><div>HTH</div><div>Alex</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Mar 6, 2019 at 11:43 PM Julian Long <<a href="mailto:julianlong988@gmail.com">julianlong988@gmail.com</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">Hi all,<div>Why pyriemann TS Classifier from pyriemann.classification.TSclassifier which is logistic regression classifier performs better than the csp(common spatial patterns)+logistic regression classifier especially in the case of multi-classification?</div></div></div>
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