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Morten Hjorth-Jensen
2024-11-17 15:55:37 +01:00
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commit 3147098147
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@@ -34,7 +34,7 @@
<link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=a3416100" />
<link rel="stylesheet" type="text/css" href="_static/togglebutton.css?v=13237357" />
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<link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
<link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css?v=be8a1c11" />
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<link rel="stylesheet" type="text/css" href="_static/sphinx-design.min.css?v=95c83b7e" />
@@ -65,7 +65,7 @@
<script>DOCUMENTATION_OPTIONS.pagename = 'week46';</script>
<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
<link rel="next" title="Project 1 on Machine Learning, deadline October 7 (midnight), 2024" href="project1.html" />
<link rel="next" title="Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods" href="week47.html" />
<link rel="prev" title="Week 45, Convolutional Neural Networks (CCNs) and Recurrent Neural Networks (RNNs)" href="week45.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<meta name="docsearch:language" content="en"/>
@@ -254,6 +254,9 @@
<li class="toctree-l1"><a class="reference internal" href="week44.html">Week 44, Convolutional Neural Networks (CNN)</a></li>
<li class="toctree-l1"><a class="reference internal" href="week45.html">Week 45, Convolutional Neural Networks (CCNs) and Recurrent Neural Networks (RNNs)</a></li>
<li class="toctree-l1 current active"><a class="current reference internal" href="#">Week 46: Decision Trees, Ensemble methods and Random Forests</a></li>
<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>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Projects</span></p>
<ul class="nav bd-sidenav">
@@ -690,13 +693,13 @@ 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: 7.589333851535161
first power: -0.12196114695438806
second power: 0.0007418846812148074
zero power: 1.391131752817723
first power: 0.023929544236763082
second power: -0.00011233101388608391
</pre></div>
</div>
<img alt="_images/58effb95a1a0bf3997384319821c981b4bdcca9b3258d31bbd5c1a95d1e70bc7.png" src="_images/58effb95a1a0bf3997384319821c981b4bdcca9b3258d31bbd5c1a95d1e70bc7.png" />
<img alt="_images/715cefc309086b67db1f2ee89af45beae39558661e3f141236b22fdaf3da1d83.png" src="_images/715cefc309086b67db1f2ee89af45beae39558661e3f141236b22fdaf3da1d83.png" />
<img alt="_images/54da4dcf618f83f729a4226ed97b89f907d17d25d6f1e00ebabeaabefc39c127.png" src="_images/54da4dcf618f83f729a4226ed97b89f907d17d25d6f1e00ebabeaabefc39c127.png" />
<img alt="_images/eb8a1d5930cd9fc5960f605b1df68a8d022a1f3d3f06c78dd6848a2fc9de92be.png" src="_images/eb8a1d5930cd9fc5960f605b1df68a8d022a1f3d3f06c78dd6848a2fc9de92be.png" />
</div>
</div>
</section>
@@ -2181,9 +2184,7 @@ SVC 0.896
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LogisticRegression 0.864
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>RandomForestClassifier 0.896
RandomForestClassifier 0.896
SVC 0.896
</pre></div>
</div>
@@ -2301,9 +2302,7 @@ Error: 0.06380941468319971
Bias^2: 0.05160313473529168
Var: 0.01220627994790804
0.06380941468319971 &gt;= 0.05160313473529168 + 0.01220627994790804 = 0.06380941468319971
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Polynomial degree: 2
Polynomial degree: 2
Error: 0.043464037468677004
Bias^2: 0.02659851591375224
Var: 0.01686552155492476
@@ -2464,7 +2463,9 @@ this setting.</p>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(426, 30)
(143, 30)
Test set accuracy Logistic Regression with scaled data: 0.96
Test set accuracy SVM with scaled data: 0.96
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy SVM with scaled data: 0.96
Test set accuracy with Decision Trees and scaled data: 0.87
</pre></div>
</div>
@@ -2824,11 +2825,11 @@ observations that are missed in the previous iterations.</p>
</div>
</a>
<a class="right-next"
href="project1.html"
href="week47.html"
title="next page">
<div class="prev-next-info">
<p class="prev-next-subtitle">next</p>
<p class="prev-next-title">Project 1 on Machine Learning, deadline October 7 (midnight), 2024</p>
<p class="prev-next-title">Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods</p>
</div>
<i class="fa-solid fa-angle-right"></i>
</a>