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📄 predacc.html

📁 一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genet
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"><html><head></head><body><div style="text-align: center;"><big><big>Predictive Accuracy Tool</big></big><br></div><br><table style="width: 100%; text-align: left;" border="0" cellpadding="2" cellspacing="2">  <tbody>    <tr>      <td style="vertical-align: top;">This is a tool for testing thepredictive accuracy of supervised learning algorithms. The tool isimplemented in PredAcc.cpp and PredAcc.h.<br>      <br>      <span style="font-weight: bold; text-decoration: underline;">Howto use this tool:</span><br style="font-weight: bold; text-decoration: underline;">1- First select a supervised learning algorithm (by clicking in the boxat the top-left).<br>2- Next, select a testing method (by clicking in the box at thetop-right). N-fold cross validation is probably the most common choice.<br>3- Then select a ".arff" file in the file dialog. (A couple of themcome with Waffles. You can find more by searching the web.)<br>4- The data will appear in a table. You can click on the column headersto change which attributes are inputs and which attributes are outputs.<br>5- Click "begin"<br>6- The results are printed to stdout, so look in the console window.(If you want to keep these results, you can pipe the Waffles output toa file.)<br>      </td>      <td style="vertical-align: top; text-align: right;"><img alt="" src="PredAcc.png" style="width: 295px; height: 310px;"></td>    </tr>  </tbody></table><br><br><br><br></body></html>

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