[ci skip] Change c.c. to cm³ (#771) 6205ca5

INRIA · Mar 14, 2024 · 27f81a4 · 27f81a4
1 parent 55d77b6
commit 27f81a4
Show file tree

Hide file tree

Showing 98 changed files with 677 additions and 680 deletions.
diff --git a/_images/00392353c1ca246e51f86dae231c2a4cb6ee36d039ddd4d5e4fd4469f2c02791.png b/_images/00392353c1ca246e51f86dae231c2a4cb6ee36d039ddd4d5e4fd4469f2c02791.png
diff --git a/_images/0734001b6a84cfdcda5a74b4431ee5c18bc4aff6400cc4ab1a7e04eab1da1786.png b/_images/0734001b6a84cfdcda5a74b4431ee5c18bc4aff6400cc4ab1a7e04eab1da1786.png
diff --git a/_images/07cbf4a87c6b448a6bda7dff8ecf00f4ae9d482f69224c5025db958fe2247241.png b/_images/07cbf4a87c6b448a6bda7dff8ecf00f4ae9d482f69224c5025db958fe2247241.png
diff --git a/_images/09333674c30a7305be20ca568fa75c99b9dbe7c8c4dff49d15fe194dff933ba3.png b/_images/09333674c30a7305be20ca568fa75c99b9dbe7c8c4dff49d15fe194dff933ba3.png
diff --git a/_images/0fcec31ae82e5b95f444a9c2c83a0f56c4aacab8ced4f3c38ee237aaa53a2929.png b/_images/0fcec31ae82e5b95f444a9c2c83a0f56c4aacab8ced4f3c38ee237aaa53a2929.png
diff --git a/_images/165314e7877761c1062242b8de89cc5c682a3707aff70983841838d06f6149a2.png b/_images/165314e7877761c1062242b8de89cc5c682a3707aff70983841838d06f6149a2.png
diff --git a/_images/1b7131829e5e49c25729c47c6464328df074a638a9c7540f1478cf69171f054e.png b/_images/1b7131829e5e49c25729c47c6464328df074a638a9c7540f1478cf69171f054e.png
diff --git a/_images/20ed75398a48180572aa63caec2c837be2a789d05586b3e25f4af31312c567c6.png b/_images/20ed75398a48180572aa63caec2c837be2a789d05586b3e25f4af31312c567c6.png
diff --git a/_images/2215c2947df1a3033fb856e7ab2bfbd3f1c67a7be63a0fc2cab89c409477bdf1.png b/_images/2215c2947df1a3033fb856e7ab2bfbd3f1c67a7be63a0fc2cab89c409477bdf1.png
diff --git a/_images/2236ffafb3d84298a3e76953ed976f5aa59c1513def0b4678e2be2ef95398f65.png b/_images/2236ffafb3d84298a3e76953ed976f5aa59c1513def0b4678e2be2ef95398f65.png
diff --git a/_images/24662ba29bc249eacdf68cdb2ee73a3408d0dfa97b9cf9775c307ea770ebae1d.png b/_images/24662ba29bc249eacdf68cdb2ee73a3408d0dfa97b9cf9775c307ea770ebae1d.png
diff --git a/_images/2ffadb284332abcf71e017907143072209c187b343d152879667f92f32ae4795.png b/_images/2ffadb284332abcf71e017907143072209c187b343d152879667f92f32ae4795.png
diff --git a/_images/340a98442ebc658101125a883044ebd1d2c1838c2a4cfcbeef202ad643b9366d.png b/_images/340a98442ebc658101125a883044ebd1d2c1838c2a4cfcbeef202ad643b9366d.png
diff --git a/_images/3486f06511af2fbdced698306aa18bdee4021a11317fce769cdd68e01d2886d8.png b/_images/3486f06511af2fbdced698306aa18bdee4021a11317fce769cdd68e01d2886d8.png
diff --git a/_images/3d218a205fc8ced4319cfecce0aa44cd7850b934ff27d43d9eb94b232de8bff9.png b/_images/3d218a205fc8ced4319cfecce0aa44cd7850b934ff27d43d9eb94b232de8bff9.png
diff --git a/_images/4862c12db653db7470e7ce521b2562fe82a437548df69c61175743810b6a383b.png b/_images/4862c12db653db7470e7ce521b2562fe82a437548df69c61175743810b6a383b.png
diff --git a/_images/50ebedb61c92656389dfa480779b55497347060fd66ec34ffada0671581c39fb.png b/_images/50ebedb61c92656389dfa480779b55497347060fd66ec34ffada0671581c39fb.png
diff --git a/_images/546aa8053317a04bda3f8325439acb9b1365822caa91f511989e48b9fb1904ae.png b/_images/546aa8053317a04bda3f8325439acb9b1365822caa91f511989e48b9fb1904ae.png
diff --git a/_images/59a4d60a65164a4984242481bbd3c2917b4f4ad90650fc66dd1675787156cb28.png b/_images/59a4d60a65164a4984242481bbd3c2917b4f4ad90650fc66dd1675787156cb28.png
diff --git a/_images/5c1c4f4ee41eb7d45a54055d7916bc1186cde3346d03f3b8db079e5d56390a32.png b/_images/5c1c4f4ee41eb7d45a54055d7916bc1186cde3346d03f3b8db079e5d56390a32.png
diff --git a/_images/5dcdb586f9cf9a2f1731b41d336e0b882f40e713d1e5905c7608fc7e14e1fc0d.png b/_images/5dcdb586f9cf9a2f1731b41d336e0b882f40e713d1e5905c7608fc7e14e1fc0d.png
diff --git a/_images/5f962ae8d784f1b504c8e715e3836d2997d559f5779ebf3f13fbad1d54358d47.png b/_images/5f962ae8d784f1b504c8e715e3836d2997d559f5779ebf3f13fbad1d54358d47.png
diff --git a/_images/62fd92032617ac1f10b45af22f14660bcda68eadfc153b95a0896b2eea209e82.png b/_images/62fd92032617ac1f10b45af22f14660bcda68eadfc153b95a0896b2eea209e82.png
diff --git a/_images/65a78a9ec9f093953169ad9f543b7729ee71fad8425169ac910d7659f6a6af8d.png b/_images/65a78a9ec9f093953169ad9f543b7729ee71fad8425169ac910d7659f6a6af8d.png
diff --git a/_images/693a6e93e279486acdaf647b944d66217817a97933e4e4d11b5bca1d3436b576.png b/_images/693a6e93e279486acdaf647b944d66217817a97933e4e4d11b5bca1d3436b576.png
diff --git a/_images/6fea80456b94fe35aadfa8a273884de1f7868ebffd8c23e838057e74108a1106.png b/_images/6fea80456b94fe35aadfa8a273884de1f7868ebffd8c23e838057e74108a1106.png
diff --git a/_images/7240f75198cd816379bb54aa36850803195e16868bf151570d55a03da3db9c5d.png b/_images/7240f75198cd816379bb54aa36850803195e16868bf151570d55a03da3db9c5d.png
diff --git a/_images/756aa5f3699bc6daaf811d4e07f43b7d39cb17093154288e83f048375ffa8dc1.png b/_images/756aa5f3699bc6daaf811d4e07f43b7d39cb17093154288e83f048375ffa8dc1.png
diff --git a/_images/77f4cbca094dc523dad1ed144110b9ad1ab15a8944951598c0dec3c724e1941e.png b/_images/77f4cbca094dc523dad1ed144110b9ad1ab15a8944951598c0dec3c724e1941e.png
diff --git a/_images/8077ce4a246e48e19aac0d466157556704f5308e7e7b691847e74c5bf102235e.png b/_images/8077ce4a246e48e19aac0d466157556704f5308e7e7b691847e74c5bf102235e.png
diff --git a/_images/825e43d31b83d14ef591ed23aa85e962b58b149021030e531c90bea3c7b59742.png b/_images/825e43d31b83d14ef591ed23aa85e962b58b149021030e531c90bea3c7b59742.png
diff --git a/_images/8d183de8897df3e5d0e6f92c70abd62a07d28962ae591fc97276559125b31652.png b/_images/8d183de8897df3e5d0e6f92c70abd62a07d28962ae591fc97276559125b31652.png
diff --git a/_images/9acd98a8817d4a2fdaac3ad3ca8d8f7861833070197c68365eb21d9e2476b207.png b/_images/9acd98a8817d4a2fdaac3ad3ca8d8f7861833070197c68365eb21d9e2476b207.png
diff --git a/_images/b08db72b01e5fcfa183ed79378a9a127a2ddbbfd89c1a1b963520ee512cd050a.png b/_images/b08db72b01e5fcfa183ed79378a9a127a2ddbbfd89c1a1b963520ee512cd050a.png
diff --git a/_images/b9c0f1180482f98e0e991d976164f22bf4a20d9241a0888f86aae61bbad53545.png b/_images/b9c0f1180482f98e0e991d976164f22bf4a20d9241a0888f86aae61bbad53545.png
diff --git a/_images/bd120f32b3c033990e7dc026c103f5c429a1e9cc8824cabd7266b87adbf95a40.png b/_images/bd120f32b3c033990e7dc026c103f5c429a1e9cc8824cabd7266b87adbf95a40.png
diff --git a/_images/bd494f5ddd42e6033988976e41f614c766314874f2386a03ffb6a3d86165c9f5.png b/_images/bd494f5ddd42e6033988976e41f614c766314874f2386a03ffb6a3d86165c9f5.png
diff --git a/_images/c2258ca6c77f26957ff5f9b2ccbbb58571146c06a0a35b8599ca119ef3283712.png b/_images/c2258ca6c77f26957ff5f9b2ccbbb58571146c06a0a35b8599ca119ef3283712.png
diff --git a/_images/c29fe893038f0fe72c3bc3aa3e481bb40d80a1af2a3e46d46ab44991e900cc19.png b/_images/c29fe893038f0fe72c3bc3aa3e481bb40d80a1af2a3e46d46ab44991e900cc19.png
diff --git a/_images/c65ce88b0179728087e171a1095ead1b07dc89fdd0a84a618ee04260675ea240.png b/_images/c65ce88b0179728087e171a1095ead1b07dc89fdd0a84a618ee04260675ea240.png
diff --git a/_images/c9d38595b97dfd00a5ba6c27b7a8607103748526a4172f15f1465f8212a45581.png b/_images/c9d38595b97dfd00a5ba6c27b7a8607103748526a4172f15f1465f8212a45581.png
diff --git a/_images/d0dd0b609bc36046fa1c7493615545b79c47a2db5d0c478ff93a2c9b938158e3.png b/_images/d0dd0b609bc36046fa1c7493615545b79c47a2db5d0c478ff93a2c9b938158e3.png
diff --git a/_images/d1675ee3bbde6d6e26f7b138bc8979887c8d23e5588e3f2c4a57601805ce4461.png b/_images/d1675ee3bbde6d6e26f7b138bc8979887c8d23e5588e3f2c4a57601805ce4461.png
diff --git a/_images/d244075ed05aeabb69ffec54024d078fae5c435c66aa092aaa79f58943fcaccf.png b/_images/d244075ed05aeabb69ffec54024d078fae5c435c66aa092aaa79f58943fcaccf.png
diff --git a/_images/d2ad30ad5e5432063acf48ad88e386ecc94dc4d4107a8aa21909a5981022df33.png b/_images/d2ad30ad5e5432063acf48ad88e386ecc94dc4d4107a8aa21909a5981022df33.png
diff --git a/_images/d38db5862a0786f769369e92914306b9e7aec5899b147928a1b0bf7298cea1db.png b/_images/d38db5862a0786f769369e92914306b9e7aec5899b147928a1b0bf7298cea1db.png
diff --git a/_images/d5812d694fcfff06bdca815145989a66b160488652d04dfb6fca3927c6c32630.png b/_images/d5812d694fcfff06bdca815145989a66b160488652d04dfb6fca3927c6c32630.png
diff --git a/_images/dc067345fa905c9132c4c71ef4ef1a84ae5cbdb033a2be92cad261a8878e64a8.png b/_images/dc067345fa905c9132c4c71ef4ef1a84ae5cbdb033a2be92cad261a8878e64a8.png
diff --git a/_images/dc56420d564af2fe0d801b34f10652d1888f16e40e62b217aaf6cf29bad49dcf.png b/_images/dc56420d564af2fe0d801b34f10652d1888f16e40e62b217aaf6cf29bad49dcf.png
diff --git a/_images/dfac9a8d6abef6d0d7d7a86e38bb2bea63f5c224bc649eae2340a59b437bf9fe.png b/_images/dfac9a8d6abef6d0d7d7a86e38bb2bea63f5c224bc649eae2340a59b437bf9fe.png
diff --git a/_images/e1aa4b79a29c00d341c5e0626174147e8c162b15f53b669e766a3bb998cdd6ad.png b/_images/e1aa4b79a29c00d341c5e0626174147e8c162b15f53b669e766a3bb998cdd6ad.png
diff --git a/_images/e50a1e9767c1676d2a1039dc62ad7a53190921e234f51197a804c9ecaa07cb6e.png b/_images/e50a1e9767c1676d2a1039dc62ad7a53190921e234f51197a804c9ecaa07cb6e.png
diff --git a/_images/e7df47cd35ebaef72a3713f0816ed6c4b81ff35757495e73810b1c1351265abe.png b/_images/e7df47cd35ebaef72a3713f0816ed6c4b81ff35757495e73810b1c1351265abe.png
diff --git a/_images/f55e33703258ea616772b0074e5981004cd2245d45d802a5b27b30d9e7660178.png b/_images/f55e33703258ea616772b0074e5981004cd2245d45d802a5b27b30d9e7660178.png
diff --git a/_images/f809f3d207674b9ef84eca8b3b6c2a2ac46e7783929f0bc1a58b66715d256c55.png b/_images/f809f3d207674b9ef84eca8b3b6c2a2ac46e7783929f0bc1a58b66715d256c55.png
diff --git a/_images/fe07a5237ae09be5e5ca293afe754d4ca4f1a5901054f3427a6db748611826bc.png b/_images/fe07a5237ae09be5e5ca293afe754d4ca4f1a5901054f3427a6db748611826bc.png
diff --git a/_sources/python_scripts/datasets_blood_transfusion.py b/_sources/python_scripts/datasets_blood_transfusion.py
@@ -46,7 +46,7 @@
 # * `Recency`: the time in months since the last time a person intended to give
 #   blood;
 # * `Frequency`: the number of time a person intended to give blood in the past;
-# * `Monetary`: the amount of blood given in the past (in c.c.);
+# * `Monetary`: the amount of blood given in the past (in cm³);
 # * `Time`: the time in months since the first time a person intended to give
 #   blood.
 #

diff --git a/_sources/python_scripts/metrics_classification.py b/_sources/python_scripts/metrics_classification.py
@@ -78,7 +78,7 @@
 # predictions a classifier can provide.
 #
 # For this reason, we will create a synthetic sample for a new potential donor:
-# they donated blood twice in the past (1000 c.c. each time). The last time was
+# they donated blood twice in the past (1000 cm³ each time). The last time was
 # 6 months ago, and the first time goes back to 20 months ago.
 
 # %%

diff --git a/appendix/notebook_timings.html b/appendix/notebook_timings.html
diff --git a/python_scripts/02_numerical_pipeline_cross_validation.html b/python_scripts/02_numerical_pipeline_cross_validation.html
@@ -799,12 +799,12 @@ <h2>The need for cross-validation<a class="headerlink" href="#the-need-for-cross
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 462 ms, sys: 267 ms, total: 728 ms
-Wall time: 411 ms
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 469 ms, sys: 281 ms, total: 751 ms
+Wall time: 422 ms
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;fit_time&#39;: array([0.06059599, 0.05906844, 0.05620313, 0.05689025, 0.05796146]),
- &#39;score_time&#39;: array([0.01392531, 0.01375055, 0.01452756, 0.01398158, 0.01382446]),
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;fit_time&#39;: array([0.06269455, 0.06022215, 0.06006885, 0.06087542, 0.05975509]),
+ &#39;score_time&#39;: array([0.01281929, 0.01433253, 0.01422644, 0.01378584, 0.01394677]),
  &#39;test_score&#39;: array([0.79557785, 0.80049135, 0.79965192, 0.79873055, 0.80456593])}
 </pre></div>
 </div>

diff --git a/python_scripts/02_numerical_pipeline_scaling.html b/python_scripts/02_numerical_pipeline_scaling.html
@@ -2037,7 +2037,7 @@ <h2>Model fitting with preprocessing<a class="headerlink" href="#model-fitting-w
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The accuracy using a Pipeline is 0.807 with a fitting time of 0.074 seconds in 9 iterations
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The accuracy using a Pipeline is 0.807 with a fitting time of 0.057 seconds in 9 iterations
 </pre></div>
 </div>
 </div>
@@ -2067,7 +2067,7 @@ <h2>Model fitting with preprocessing<a class="headerlink" href="#model-fitting-w
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The accuracy using a LogisticRegression is 0.807 with a fitting time of 0.158 seconds in 60 iterations
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The accuracy using a LogisticRegression is 0.807 with a fitting time of 0.128 seconds in 60 iterations
 </pre></div>
 </div>
 </div>

diff --git a/python_scripts/03_categorical_pipeline.html b/python_scripts/03_categorical_pipeline.html
@@ -1944,8 +1944,8 @@ <h2>Evaluate our predictive pipeline<a class="headerlink" href="#evaluate-our-pr
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;fit_time&#39;: array([0.18781209, 0.17397404, 0.18133903, 0.18490911, 0.17868161]),
- &#39;score_time&#39;: array([0.0243237 , 0.02378368, 0.02416205, 0.02540421, 0.02295303]),
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;fit_time&#39;: array([0.18273258, 0.17200065, 0.17647791, 0.18191218, 0.16968513]),
+ &#39;score_time&#39;: array([0.02293396, 0.02304316, 0.02214861, 0.02400017, 0.02363253]),
  &#39;test_score&#39;: array([0.83232675, 0.83570478, 0.82831695, 0.83292383, 0.83497133])}
 </pre></div>
 </div>

diff --git a/python_scripts/03_categorical_pipeline_column_transformer.html b/python_scripts/03_categorical_pipeline_column_transformer.html
@@ -1480,8 +1480,8 @@ <h2>Evaluation of the model with cross-validation<a class="headerlink" href="#ev
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;fit_time&#39;: array([0.26318002, 0.26783419, 0.23443294, 0.24915934, 0.2725606 ]),
- &#39;score_time&#39;: array([0.02992344, 0.0289917 , 0.02811599, 0.02935672, 0.02843928]),
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;fit_time&#39;: array([0.25529766, 0.26091695, 0.23097396, 0.24259877, 0.26471639]),
+ &#39;score_time&#39;: array([0.02783799, 0.0291338 , 0.02745199, 0.02845907, 0.02718282]),
  &#39;test_score&#39;: array([0.85116184, 0.84993346, 0.8482801 , 0.85257985, 0.85544636])}
 </pre></div>
 </div>
@@ -1553,8 +1553,8 @@ <h2>Fitting a more powerful model<a class="headerlink" href="#fitting-a-more-pow
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 691 ms, sys: 7.92 ms, total: 699 ms
-Wall time: 698 ms
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 688 ms, sys: 0 ns, total: 688 ms
+Wall time: 687 ms
 </pre></div>
 </div>
 </div>
@@ -1566,7 +1566,7 @@ <h2>Fitting a more powerful model<a class="headerlink" href="#fitting-a-more-pow
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.8805994595037262
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.881008926377856
 </pre></div>
 </div>
 </div>

diff --git a/python_scripts/03_categorical_pipeline_ex_02.html b/python_scripts/03_categorical_pipeline_ex_02.html
@@ -782,7 +782,7 @@ <h2>Reference pipeline (no numerical scaling and integer-coded categories)<a cla
 </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 4.393
+<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 4.275
 </pre></div>
 </div>
 </div>

diff --git a/python_scripts/03_categorical_pipeline_sol_02.html b/python_scripts/03_categorical_pipeline_sol_02.html
@@ -788,7 +788,7 @@ <h2>Reference pipeline (no numerical scaling and integer-coded categories)<a cla
 </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 4.379
+<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 4.267
 </pre></div>
 </div>
 </div>
@@ -835,7 +835,7 @@ <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 ± 0.002 with a fitting time of 4.416
+<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 4.277
 </pre></div>
 </div>
 </div>
@@ -891,7 +891,7 @@ <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: 0.873 ± 0.002 with a fitting time of 17.401
+<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 17.032
 </pre></div>
 </div>
 </div>

diff --git a/python_scripts/cross_validation_baseline.html b/python_scripts/cross_validation_baseline.html
@@ -743,13 +743,13 @@ <h1>Comparing model performance with a simple baseline<a class="headerlink" href
 </div>
 <div class="cell_output docutils container">
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>count    30.000000
-mean     45.711788
-std       1.191156
-min      43.291196
-25%      44.897219
-50%      45.784888
-75%      46.688555
-max      48.157434
+mean     45.633816
+std       1.217253
+min      43.164525
+25%      44.863200
+50%      45.826493
+75%      46.525464
+max      47.717535
 Name: Decision tree regressor, dtype: float64
 </pre></div>
 </div>
@@ -826,152 +826,152 @@ <h1>Comparing model performance with a simple baseline<a class="headerlink" href
   <tbody>
     <tr>
       <th>0</th>
-      <td>47.014650</td>
+      <td>46.314723</td>
       <td>90.713153</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>46.995805</td>
+      <td>46.595711</td>
       <td>90.539353</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>44.469734</td>
+      <td>44.224121</td>
       <td>91.941912</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>43.439962</td>
+      <td>43.745801</td>
       <td>90.213912</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>48.157434</td>
+      <td>47.610850</td>
       <td>92.015862</td>
     </tr>
     <tr>
       <th>5</th>
-      <td>45.057621</td>
+      <td>44.862297</td>
       <td>90.542490</td>
     </tr>
     <tr>
       <th>6</th>
-      <td>44.501008</td>
+      <td>43.805296</td>
       <td>89.757566</td>
     </tr>
     <tr>
       <th>7</th>
-      <td>44.865934</td>
+      <td>45.151203</td>
       <td>92.477244</td>
     </tr>
     <tr>
       <th>8</th>
-      <td>44.991075</td>
+      <td>45.123296</td>
       <td>90.947952</td>
     </tr>
     <tr>
       <th>9</th>
-      <td>44.816389</td>
+      <td>44.865907</td>
       <td>91.991373</td>
     </tr>
     <tr>
       <th>10</th>
-      <td>46.726934</td>
+      <td>46.926475</td>
       <td>92.023571</td>
     </tr>
     <tr>
       <th>11</th>
-      <td>46.017070</td>
+      <td>46.083784</td>
       <td>90.556965</td>
     </tr>
     <tr>
       <th>12</th>
-      <td>45.756531</td>
+      <td>45.482961</td>
       <td>91.539567</td>
     </tr>
     <tr>
       <th>13</th>
-      <td>45.652805</td>
+      <td>45.484250</td>
       <td>91.185225</td>
     </tr>
     <tr>
       <th>14</th>
-      <td>46.891755</td>
+      <td>47.208010</td>
       <td>92.298971</td>
     </tr>
     <tr>
       <th>15</th>
-      <td>44.549413</td>
+      <td>44.087635</td>
       <td>91.084639</td>
     </tr>
     <tr>
       <th>16</th>
-      <td>46.296850</td>
+      <td>45.902660</td>
       <td>90.984471</td>
     </tr>
     <tr>
       <th>17</th>
-      <td>47.169953</td>
+      <td>47.221503</td>
       <td>89.981744</td>
     </tr>
     <tr>
       <th>18</th>
-      <td>45.071770</td>
+      <td>44.656508</td>
       <td>90.547140</td>
     </tr>
     <tr>
       <th>19</th>
-      <td>46.774847</td>
+      <td>46.690062</td>
       <td>89.820219</td>
     </tr>
     <tr>
       <th>20</th>
-      <td>43.291196</td>
+      <td>43.164525</td>
       <td>91.768721</td>
     </tr>
     <tr>
       <th>21</th>
-      <td>45.929062</td>
+      <td>45.879401</td>
       <td>92.305556</td>
     </tr>
     <tr>
       <th>22</th>
-      <td>45.200743</td>
+      <td>45.949361</td>
       <td>90.503017</td>
     </tr>
     <tr>
       <th>23</th>
-      <td>46.573420</td>
+      <td>46.844423</td>
       <td>92.147974</td>
     </tr>
     <tr>
       <th>24</th>
-      <td>46.315741</td>
+      <td>46.232214</td>
       <td>91.386320</td>
     </tr>
     <tr>
       <th>25</th>
-      <td>45.813246</td>
+      <td>46.061211</td>
       <td>90.815660</td>
     </tr>
     <tr>
       <th>26</th>
-      <td>44.145274</td>
+      <td>43.905906</td>
       <td>92.216574</td>
     </tr>
     <tr>
       <th>27</th>
-      <td>45.934293</td>
+      <td>45.773585</td>
       <td>90.107460</td>
     </tr>
     <tr>
       <th>28</th>
-      <td>45.376586</td>
+      <td>45.443278</td>
       <td>90.620318</td>
     </tr>
     <tr>
       <th>29</th>
-      <td>47.556537</td>
+      <td>47.717535</td>
       <td>91.165331</td>
     </tr>
   </tbody>
@@ -992,7 +992,7 @@ <h1>Comparing model performance with a simple baseline<a class="headerlink" href
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/2236ffafb3d84298a3e76953ed976f5aa59c1513def0b4678e2be2ef95398f65.png" src="../_images/2236ffafb3d84298a3e76953ed976f5aa59c1513def0b4678e2be2ef95398f65.png" />
+<img alt="../_images/2215c2947df1a3033fb856e7ab2bfbd3f1c67a7be63a0fc2cab89c409477bdf1.png" src="../_images/2215c2947df1a3033fb856e7ab2bfbd3f1c67a7be63a0fc2cab89c409477bdf1.png" />
 </div>
 </div>
 <p>We see that the generalization performance of our decision tree is far from

diff --git a/python_scripts/cross_validation_grouping.html b/python_scripts/cross_validation_grouping.html
@@ -753,7 +753,7 @@ <h1>Sample grouping<a class="headerlink" href="#sample-grouping" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The average accuracy is 0.966 ± 0.005
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The average accuracy is 0.964 ± 0.013
 </pre></div>
 </div>
 </div>
@@ -787,7 +787,7 @@ <h1>Sample grouping<a class="headerlink" href="#sample-grouping" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/d38db5862a0786f769369e92914306b9e7aec5899b147928a1b0bf7298cea1db.png" src="../_images/d38db5862a0786f769369e92914306b9e7aec5899b147928a1b0bf7298cea1db.png" />
+<img alt="../_images/c9d38595b97dfd00a5ba6c27b7a8607103748526a4172f15f1465f8212a45581.png" src="../_images/c9d38595b97dfd00a5ba6c27b7a8607103748526a4172f15f1465f8212a45581.png" />
 </div>
 </div>
 <p>The cross-validation testing error that uses the shuffling has less variance
@@ -1014,7 +1014,7 @@ <h1>Sample grouping<a class="headerlink" href="#sample-grouping" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/c2258ca6c77f26957ff5f9b2ccbbb58571146c06a0a35b8599ca119ef3283712.png" src="../_images/c2258ca6c77f26957ff5f9b2ccbbb58571146c06a0a35b8599ca119ef3283712.png" />
+<img alt="../_images/2ffadb284332abcf71e017907143072209c187b343d152879667f92f32ae4795.png" src="../_images/2ffadb284332abcf71e017907143072209c187b343d152879667f92f32ae4795.png" />
 </div>
 </div>
 <p>As a conclusion, it is really important to take any sample grouping pattern

diff --git a/python_scripts/cross_validation_learning_curve.html b/python_scripts/cross_validation_learning_curve.html
@@ -794,7 +794,7 @@ <h2>Learning curve<a class="headerlink" href="#learning-curve" title="Permalink
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/3486f06511af2fbdced698306aa18bdee4021a11317fce769cdd68e01d2886d8.png" src="../_images/3486f06511af2fbdced698306aa18bdee4021a11317fce769cdd68e01d2886d8.png" />
+<img alt="../_images/7240f75198cd816379bb54aa36850803195e16868bf151570d55a03da3db9c5d.png" src="../_images/7240f75198cd816379bb54aa36850803195e16868bf151570d55a03da3db9c5d.png" />
 </div>
 </div>
 <p>Looking at the training error alone, we see that we get an error of 0 k$. It