lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

update on notes

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2024-10-19 09:58:39 +02:00
parent 2476609846
commit 9a699212fa
357 changed files with 36568 additions and 3216 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/LectureNotes/_build/html/chapter6.html
+11 -8
View File
@@ -338,6 +338,11 @@ const thebe_selector_output = ".output, .cell_output"
Exercises Week 42: Logistic Regression and Optimization, reminders from week 38 and week 40
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="week43.html">
Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
@@ -802,9 +807,9 @@ 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: 0.2965479984453907
first power: 0.008574628106492125
second power: 8.928769588424018e-05
zero power: 0.7112242518460867
first power: 0.15008902218011533
second power: -0.00042767357088773335
</pre></div>
</div>
<img alt="_images/chapter6_1_1.png" src="_images/chapter6_1_1.png" />
@@ -1668,13 +1673,11 @@ attributes at each step while growing the tree.</p>
<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
Test set accuracy with SVM: 0.63
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy with Decision Trees: 0.90
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy Logistic Regression with scaled data: 0.96
<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
Test set accuracy with Decision Trees and scaled data: 0.89
</pre></div>