updated book
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@@ -1021,10 +1021,10 @@ example of the functionality of <strong>Scikit-Learn</strong>.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The intercept alpha:
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[2.00955125]
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[1.99194201]
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Coefficient beta :
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[[4.94419718]]
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Mean squared error: 0.31
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[[4.85108001]]
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Mean squared error: 0.28
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Variance score: 0.87
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Mean squared log error: 0.01
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Mean absolute error: 0.43
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@@ -1127,7 +1127,7 @@ a linear <span class="math notranslate nohighlight">\(x\)</span>-dependence we s
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<img alt="_images/chapter1_33_0.png" src="_images/chapter1_33_0.png" />
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.005000000000000001
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.005
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</pre></div>
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