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Sorry, I meant Evaluation.results.TSS when I wrote
Evaluation.results.Kappa<br>
<br>
<br>
<br>
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En/na Pep Serra ha escrit:
<blockquote cite="mid:4AF1A127.3090402@uab.cat" type="cite">Hi
BIOMODers,<br>
<br>
I run BIOMOD for some species and I obtained these results which are a
bit difficult to interpret to me:<br>
<br>
I am checking AUC and TSS model by model and comparing it to the
Ensemble modeling approach:<br>
<br>
<br>
<table style="border-collapse: collapse; width: 120pt;" border="0"
cellpadding="0" cellspacing="0" width="160">
<col style="width: 60pt;" span="2" width="80"> <tbody>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt; width: 60pt;" height="20" width="80"><br>
</td>
<td style="width: 60pt;" width="80">TSS</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20"><br>
</td>
<td>mean</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">ANN</td>
<td align="right">0.70566667</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">CTA</td>
<td align="right">0.7495</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">GAM</td>
<td align="right">0.75466667</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">GBM</td>
<td align="right">0.77866667</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">GLM</td>
<td align="right">0.7365</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">MARS</td>
<td align="right">0.75016667</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">MDA</td>
<td align="right">0.69866667</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">RF</td>
<td align="right">0.80516667</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">SRE</td>
<td align="right">0.436</td>
</tr>
<tr style="height: 15pt;" height="20">
<td style="height: 15pt;" height="20">EF</td>
<td align="right">0.97055927</td>
</tr>
</tbody>
</table>
<br>
I am producing an ensemble forecasting giving weights according to the
TSS statistic (decay=1.6). For each model I used the cross-validation
result out of Evaluation.results.Kappa.<br>
Is it possible to obtain a TSS statistic even much better than the best
model and the best run of the best model (according to TSS)?<br>
<br>
Thanx !<br>
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</blockquote>
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