diff --git a/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb b/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb
index 94567d4..7c0adab 100644
--- a/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb	
+++ b/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb	
@@ -595,7 +595,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Ridge regression adds an L2 regularization term to the linear regression objective function. The L2 penalty shrinks the coefficients of less important features towards zero, but does not eliminate them completely. Features with larger absolute coefficients are considered more important.\n"
+    "Ridge regression adds an L2 regularization term to the linear regression objective function. The L2 penalty shrinks the coefficients of less important features towards zero, but does not eliminate them completely. Features with larger absolute coefficients are considered more important?!!!!??? [In example lower absolute coefficients are considered more important].\n"
    ]
   },
   {