[ci skip] Explicit that fitting time is measured in seconds (#862) d5d06d8

Author: ArturoAmorQ

_sources/python_scripts/03_categorical_pipeline_ex_02.py

@@ -82,7 +82,7 @@
 print(
     "The mean cross-validation accuracy is: "
     f"{scores.mean():.3f} ± {scores.std():.3f} "
-    f"with a fitting time of {elapsed_time:.3f}"
+    f"with a fitting time of {elapsed_time:.3f} seconds"
 )
 
 # %% [markdown]

_sources/python_scripts/03_categorical_pipeline_sol_02.py

@@ -76,7 +76,7 @@
 print(
     "The mean cross-validation accuracy is: "
     f"{scores.mean():.3f} ± {scores.std():.3f} "
-    f"with a fitting time of {elapsed_time:.3f}"
+    f"with a fitting time of {elapsed_time:.3f} seconds"
 )
 
 # %% [markdown]

appendix/notebook_timings.html

@@ -761,9 +761,9 @@ <h1>Notebook timings<a class="headerlink" href="#notebook-timings" title="Link t
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="../python_scripts/03_categorical_pipeline_ex_02.html"><span class="doc">python_scripts/03_categorical_pipeline_ex_02</span></a></p></td>
-<td><p>2025-09-26 09:21</p></td>
+<td><p>2025-10-02 14:18</p></td>
 <td><p>cache</p></td>
-<td><p>5.72</p></td>
+<td><p>6.58</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="../python_scripts/03_categorical_pipeline_sol_01.html"><span class="doc">python_scripts/03_categorical_pipeline_sol_01</span></a></p></td>
@@ -773,9 +773,9 @@ <h1>Notebook timings<a class="headerlink" href="#notebook-timings" title="Link t
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="../python_scripts/03_categorical_pipeline_sol_02.html"><span class="doc">python_scripts/03_categorical_pipeline_sol_02</span></a></p></td>
-<td><p>2025-09-26 09:22</p></td>
+<td><p>2025-10-02 14:18</p></td>
 <td><p>cache</p></td>
-<td><p>26.57</p></td>
+<td><p>26.41</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="../python_scripts/03_categorical_pipeline_visualization.html"><span class="doc">python_scripts/03_categorical_pipeline_visualization</span></a></p></td>

python_scripts/03_categorical_pipeline_ex_02.html

@@ -787,13 +787,13 @@ <h2>Reference pipeline (no numerical scaling and integer-coded categories)<a cla
 <span class="nb">print</span><span class="p">(</span>
     <span class="s2">&quot;The mean cross-validation accuracy is: &quot;</span>
     <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">scores</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2"> ± </span><span class="si">{</span><span class="n">scores</span><span class="o">.</span><span class="n">std</span><span class="p">()</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2"> &quot;</span>
-    <span class="sa">f</span><span class="s2">&quot;with a fitting time of </span><span class="si">{</span><span class="n">elapsed_time</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2">&quot;</span>
+    <span class="sa">f</span><span class="s2">&quot;with a fitting time of </span><span class="si">{</span><span class="n">elapsed_time</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2"> seconds&quot;</span>
 <span class="p">)</span>
 </pre></div>
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.873 ± 0.003 with a fitting time of 4.019
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.874 ± 0.002 with a fitting time of 4.136 seconds
 </pre></div>
 </div>
 </div>

python_scripts/03_categorical_pipeline_sol_02.html

@@ -793,13 +793,13 @@ <h2>Reference pipeline (no numerical scaling and integer-coded categories)<a cla
 <span class="nb">print</span><span class="p">(</span>
     <span class="s2">&quot;The mean cross-validation accuracy is: &quot;</span>
     <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">scores</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2"> ± </span><span class="si">{</span><span class="n">scores</span><span class="o">.</span><span class="n">std</span><span class="p">()</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2"> &quot;</span>
-    <span class="sa">f</span><span class="s2">&quot;with a fitting time of </span><span class="si">{</span><span class="n">elapsed_time</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2">&quot;</span>
+    <span class="sa">f</span><span class="s2">&quot;with a fitting time of </span><span class="si">{</span><span class="n">elapsed_time</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2"> seconds&quot;</span>
 <span class="p">)</span>
 </pre></div>
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.873 ± 0.002 with a fitting time of 4.019
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.873 ± 0.003 with a fitting time of 4.046 seconds
 </pre></div>
 </div>
 </div>
@@ -841,7 +841,7 @@ <h2>Scaling numerical features<a class="headerlink" href="#scaling-numerical-fea
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.873 ± 0.003 with a fitting time of 4.042
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.874 ± 0.003 with a fitting time of 4.052
 </pre></div>
 </div>
 </div>
@@ -897,7 +897,7 @@ <h2>One-hot encoding of categorical variables<a class="headerlink" href="#one-ho
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.874 ± 0.003 with a fitting time of 16.595
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The mean cross-validation accuracy is: 0.873 ± 0.003 with a fitting time of 16.474
 </pre></div>
 </div>
 </div>