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update lecture notes

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Morten Hjorth-Jensen
2024-10-28 06:15:26 +01:00
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@@ -348,6 +348,11 @@ const thebe_selector_output = ".output, .cell_output"
Exercises week 43
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<li class="toctree-l1">
<a class="reference internal" href="week44.html">
Week 44, Convolutional Neural Networks (CNN)
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@@ -855,9 +860,7 @@ classification.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(426, 30)
(143, 30)
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy with Logistic Regression: 0.94
Test set accuracy with Logistic Regression: 0.94
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<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:460: ConvergenceWarning: lbfgs failed to converge (status=1):
@@ -997,6 +1000,9 @@ applications. This will be discussed later this semester (<a class="reference ex
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(426, 30)
(143, 30)
[1. 0.86666667 1. 0.85714286 1. 0.85714286
1. 0.92857143 0.92857143 1. ]
Test set accuracy with Logistic Regression: 0.94
</pre></div>
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<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:460: ConvergenceWarning: lbfgs failed to converge (status=1):
@@ -1089,14 +1095,9 @@ Please also refer to the documentation for alternative solver options:
n_iter_i = _check_optimize_result(
</pre></div>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[1. 0.86666667 1. 0.85714286 1. 0.85714286
1. 0.92857143 0.92857143 1. ]
Test set accuracy with Logistic Regression: 0.94
</pre></div>
</div>
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