diff --git a/notebooks/examples/logistic_regression.ipynb b/notebooks/examples/logistic_regression.ipynb
index 64cd5fb7fe76f3dddf8ae40ec1d3faa20e7b1982..c99a3202fd2b48f50b0778b2137a89a8faf8de21 100644
--- a/notebooks/examples/logistic_regression.ipynb
+++ b/notebooks/examples/logistic_regression.ipynb
@@ -208,6 +208,17 @@
"plt.show()"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "33791bdc",
+ "metadata": {},
+ "source": [
+ "Additional information for the pairplot graph to understand what is displayed on the diagonal:\n",
+ "\n",
+ "\"By default, this function will create a grid of Axes such that each numeric variable in data will by shared across the y-axes across a single row and the x-axes across a single column. The diagonal plots are treated differently: a univariate distribution plot is drawn to show the marginal distribution of the data in each column.\"\n",
+ "https://seaborn.pydata.org/generated/seaborn.pairplot.html"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 5,