website-phishing/index.html

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  <title>TensorFlow.js: Classify Website URLs as Phishy or Normal</title>

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      <h1>TensorFlow.js: Classify Website URLs as Phishy or Normal</h1>
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      <p class='section-head'>Description</p>

      <p>
        This example shows you how to classify URLs as <a href="https://en.wikipedia.org/wiki/Phishing">phishy</a> or
        normal using <a href="http://eprints.hud.ac.uk/id/eprint/24330/6/MohammadPhishing14July2015.pdf">Phishing
          Website Dataset</a>. Since we are classifying the elements of a given set into two groups ie. phishy or
        normal, this is a binary classification problem.
      </p>
      <p><a href="https://github.com/tensorflow/tfjs-examples/tree/master/website-phishing">30 different features</a>
        are available for each site.</p>
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      <p class='section-head'>Status</p>
      <p id="status">Loading data...</p>
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      <p class='section-head'>Training progress</p>

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        <div>ROC Curves</div>
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