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Morten Hjorth-Jensen
2024-11-25 08:12:27 +01:00
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commit c8f2aa3dc1
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doc/LectureNotes/_build/html/chapter6.html
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@@ -257,6 +257,9 @@
<li class="toctree-l1"><a class="reference internal" href="week47.html">Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods</a></li>
<li class="toctree-l1"><a class="reference internal" href="exercisesweek47.html">Exercise week 47</a></li>
<li class="toctree-l1"><a class="reference internal" href="week48.html">Week 48: Gradient boosting and summary of course</a></li>
<li class="toctree-l1"><a class="reference internal" href="exercisesweek48.html">Exercises week 48</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Projects</span></p>
<ul class="nav bd-sidenav">
@@ -621,13 +624,13 @@ predicting the target features of query instances is as follows:</p>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2nd degree coefficients:
zero power: -3.6801072677808095
first power: 0.14054303349959596
second power: -0.0002999281168222194
zero power: -1.399819665759832
first power: -0.04120453230477482
second power: 0.0007267213049602343
</pre></div>
</div>
<img alt="_images/928e4d75f6fb1b7a9e9c65e0db52145f075c9aed9b2e97bdef41ed3d957ace12.png" src="_images/928e4d75f6fb1b7a9e9c65e0db52145f075c9aed9b2e97bdef41ed3d957ace12.png" />
<img alt="_images/deb9b3ea985ab0b0e0d38d4431927a533e89aac53bf320412eff2b3ca55387f7.png" src="_images/deb9b3ea985ab0b0e0d38d4431927a533e89aac53bf320412eff2b3ca55387f7.png" />
<img alt="_images/b27afd9b9c2cb0727463c018ad254fd8be50dfbc3e2597029b6cb3b42667fdb5.png" src="_images/b27afd9b9c2cb0727463c018ad254fd8be50dfbc3e2597029b6cb3b42667fdb5.png" />
<img alt="_images/71a39e681516930bc9bdd50d3be601c8226c85a4b39549563a05614380c05e0c.png" src="_images/71a39e681516930bc9bdd50d3be601c8226c85a4b39549563a05614380c05e0c.png" />
</div>
</div>
</section>
@@ -1486,10 +1489,10 @@ attributes at each step while growing the tree.</p>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(426, 30)
(143, 30)
Test set accuracy with Logistic Regression: 0.94
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy with Logistic Regression: 0.94
Test set accuracy with SVM: 0.63
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy with SVM: 0.63
Test set accuracy with Decision Trees: 0.90
Test set accuracy Logistic Regression with scaled data: 0.96
Test set accuracy SVM with scaled data: 0.96