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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Week38: Logistic Regression and Optimization — Applied Data Analysis and Machine Learning</title>
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<title>Week 38: Logistic Regression and Optimization — Applied Data Analysis and Machine Learning</title>
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@@ -295,7 +295,7 @@ const thebe_selector_output = ".output, .cell_output"
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</li>
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<a class="current reference internal" href="#">
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Week38: Logistic Regression and Optimization
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Week 38: Logistic Regression and Optimization
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</a>
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<!-- Table of contents that is only displayed when printing the page -->
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<h1>Week38: Logistic Regression and Optimization</h1>
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<h1>Week 38: Logistic Regression and Optimization</h1>
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@@ -1052,8 +1052,8 @@ const thebe_selector_output = ".output, .cell_output"
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doconce format html week38.do.txt --no_mako -->
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<h1>Week38: Logistic Regression and Optimization<a class="headerlink" href="#week38-logistic-regression-and-optimization" title="Permalink to this headline">¶</a></h1>
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<h1>Week 38: Logistic Regression and Optimization<a class="headerlink" href="#week-38-logistic-regression-and-optimization" title="Permalink to this headline">¶</a></h1>
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<p><strong>Morten Hjorth-Jensen</strong>, Department of Physics and Center for Computing in Science Education, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</p>
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<p>Date: <strong>September 18-22</strong></p>
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<div class="section" id="plans-for-week-38">
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@@ -1994,7 +1994,7 @@ case under study.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>RandomizedSearchCV(estimator=Ridge(), n_iter=100,
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param_distributions={'alpha': <scipy.stats._distn_infrastructure.rv_frozen object at 0x128a2b580>})
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param_distributions={'alpha': <scipy.stats._distn_infrastructure.rv_frozen object at 0x1309f4ca0>})
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Best estimated lambda-value: 0.9849967686928113
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MSE score: 1.0853136633465326
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R2 score: -0.0002382102844775691
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