update on jupyter-book

doc/LectureNotes/_build/html/chapter6.html

@@ -293,6 +293,11 @@ const thebe_selector_output = ".output, .cell_output"
    Exercises week 38
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="week38.html">
+   Week 38: Logistic Regression and Optimization
+  </a>
+ </li>
 </ul>
 <p aria-level="2" class="caption" role="heading">
  <span class="caption-text">
@@ -752,9 +757,9 @@ predicting the target features of query instances is as follows:</p>
 </div>
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 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2nd degree coefficients:
-zero power:  -2.767367275553824
-first power:  0.024011020121022356
-second power:  -0.00021270681344726395
+zero power:  -1.4725246793626128
+first power:  -0.08935132374099551
+second power:  0.00034688149480437765
 </pre></div>
 </div>
 <img alt="_images/chapter6_1_1.png" src="_images/chapter6_1_1.png" />
@@ -1621,7 +1626,9 @@ 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 Decision Trees: 0.90
+</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
 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