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doc/LectureNotes/_build/html/chapter4.html

@@ -313,6 +313,26 @@ const thebe_selector_output = ".output, .cell_output"
    Week 40: Gradient descent methods (continued) and start Neural networks
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="exercisesweek41.html">
+   Exercises week 41
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="week41.html">
+   Week 41 Neural networks and constructing a neural network code
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="exercisesweek42.html">
+   Exercises week 42
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="week42.html">
+   Week 42 Constructing a Neural Network code with introduction to Tensor flow
+  </a>
+ </li>
 </ul>
 <p aria-level="2" class="caption" role="heading">
  <span class="caption-text">
@@ -325,6 +345,11 @@ const thebe_selector_output = ".output, .cell_output"
    Project 1 on Machine Learning, deadline October 9 (midnight), 2023
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+ <li class="toctree-l1">
+  <a class="reference internal" href="project2.html">
+   Project 2 on Machine Learning, deadline November 13 (Midnight)
+  </a>
+ </li>
 </ul>
 
     </div>
@@ -1182,6 +1207,10 @@ Based on this we can then define the accuracy score as the sum of correctly pred
 <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 Logistic Regression with scaled data: 0.96
+[1.         1.         1.         1.         1.         1.
+ 1.         1.         0.92857143 0.92857143]
+Test set accuracy with Logistic Regression  and scaled data: 0.96
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):
@@ -1194,15 +1223,9 @@ Please also refer to the documentation for alternative solver options:
   n_iter_i = _check_optimize_result(
 </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
-[1.         1.         1.         1.         1.         1.
- 1.         1.         0.92857143 0.92857143]
-Test set accuracy with Logistic Regression  and scaled data: 0.96
-</pre></div>
-</div>
+<img alt="_images/chapter4_64_2.png" src="_images/chapter4_64_2.png" />
 <img alt="_images/chapter4_64_3.png" src="_images/chapter4_64_3.png" />
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-<img alt="_images/chapter4_64_5.png" src="_images/chapter4_64_5.png" />
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