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@@ -298,6 +298,16 @@ const thebe_selector_output = ".output, .cell_output"
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Week 38: Logistic Regression and Optimization
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="exercisesweek39.html">
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Exercises week 39
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="week39.html">
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Week 39: Optimization and Gradient Methods
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</a>
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</li>
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</ul>
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<p aria-level="2" class="caption" role="heading">
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<span class="caption-text">
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@@ -757,9 +767,9 @@ predicting the target features of query instances is as follows:</p>
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</div>
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<div class="cell_output docutils container">
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2nd degree coefficients:
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zero power: -1.4725246793626128
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first power: -0.08935132374099551
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second power: 0.00034688149480437765
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zero power: -1.5105332296929628
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first power: 0.08398399377155011
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second power: -0.0003701342170783489
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</pre></div>
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</div>
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<img alt="_images/chapter6_1_1.png" src="_images/chapter6_1_1.png" />
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@@ -1626,9 +1636,7 @@ Test set accuracy with Logistic Regression: 0.94
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</pre></div>
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</div>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy with SVM: 0.63
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</pre></div>
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</div>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy with Decision Trees: 0.90
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Test set accuracy with Decision Trees: 0.90
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Test set accuracy Logistic Regression with scaled data: 0.96
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Test set accuracy SVM with scaled data: 0.96
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Test set accuracy with Decision Trees and scaled data: 0.89
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