updated book
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@@ -752,9 +752,9 @@ predicting the target features of query instances is as follows:</p>
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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: 2.1810415856976313
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first power: -0.2546817701709956
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second power: 0.0008297120772365539
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zero power: -2.767367275553824
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first power: 0.024011020121022356
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second power: -0.00021270681344726395
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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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@@ -1621,9 +1621,7 @@ 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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