SYNC all notebooks (#758)

INRIA · Dec 11, 2023 · cdc4f41 · cdc4f41
1 parent fa8225c
commit cdc4f41
Show file tree

Hide file tree

Showing 2 changed files with 5 additions and 5 deletions.
diff --git a/notebooks/metrics_sol_02.ipynb b/notebooks/metrics_sol_02.ipynb
@@ -214,8 +214,8 @@
    },
    "source": [
     "Even if the score distributions overlap due to the presence of outliers in the\n",
-    "dataset, it is true that the average MSE is lower when `loss=\"squared_error`,\n",
-    "whereas the average MAE is lower when `loss=\"absolute_error` as expected.\n",
+    "dataset, it is true that the average MSE is lower when `loss=\"squared_error\"`,\n",
+    "whereas the average MAE is lower when `loss=\"absolute_error\"` as expected.\n",
     "Indeed, the choice of a loss function is made depending on the evaluation\n",
     "metric that we want to optimize for a given use case.\n",
     "\n",

diff --git a/notebooks/parameter_tuning_nested.ipynb b/notebooks/parameter_tuning_nested.ipynb
@@ -354,12 +354,12 @@
     "<p class=\"first admonition-title\" style=\"font-weight: bold;\">Note</p>\n",
     "<p>This figure illustrates the nested cross-validation strategy using\n",
     "<tt class=\"docutils literal\">cv_inner = KFold(n_splits=4)</tt> and <tt class=\"docutils literal\">cv_outer = KFold(n_splits=5)</tt>.</p>\n",
-    "<p>For each inner cross-validation split (indexed on the left-hand side),\n",
+    "<p>For each inner cross-validation split (indexed on the right-hand side),\n",
     "the procedure trains a model on all the red samples and evaluate the quality\n",
     "of the hyperparameters on the green samples.</p>\n",
-    "<p>For each outer cross-validation split (indexed on the right-hand side),\n",
+    "<p>For each outer cross-validation split (indexed on the left-hand side),\n",
     "the best hyper-parameters are selected based on the validation scores\n",
-    "(computed on the greed samples) and a model is refitted on the concatenation\n",
+    "(computed on the green samples) and a model is refitted on the concatenation\n",
     "of the red and green samples for that outer CV iteration.</p>\n",
     "<p class=\"last\">The generalization performance of the 5 refitted models from the outer CV\n",
     "loop are then evaluated on the blue samples to get the final scores.</p>\n",