update jupyter-book

doc/LectureNotes/_build/html/chapter6.html

@@ -353,6 +353,11 @@ const thebe_selector_output = ".output, .cell_output"
    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>
 </ul>
 <p aria-level="2" class="caption" role="heading">
  <span class="caption-text">
@@ -817,9 +822,9 @@ predicting the target features of query instances is as follows:</p>
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 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2nd degree coefficients:
-zero power:  -0.7397605907501061
-first power:  0.007373805280423706
-second power:  0.00026005429911763394
+zero power:  -4.655365720948307
+first power:  0.09332315952999948
+second power:  -0.0004298347114567659
 </pre></div>
 </div>
 <img alt="_images/chapter6_1_1.png" src="_images/chapter6_1_1.png" />
@@ -1682,12 +1687,8 @@ 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)
-</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
-</pre></div>
-</div>
-<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 Logistic Regression: 0.94
+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