Use as_frame=False when calling fetch_openml()

07_ensemble_learning_and_random_forests.ipynb

@@ -452,6 +452,13 @@
     "## Feature importance"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Warning:** since Scikit-Learn 0.24, `fetch_openml()` returns a Pandas `DataFrame` by default. To avoid this and keep the same code as in the book, we use `as_frame=False`."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 25,
@@ -460,7 +467,7 @@
    "source": [
     "from sklearn.datasets import fetch_openml\n",
     "\n",
-    "mnist = fetch_openml('mnist_784', version=1)\n",
+    "mnist = fetch_openml('mnist_784', version=1, as_frame=False)\n",
     "mnist.target = mnist.target.astype(np.uint8)"
    ]
   },
@@ -1395,7 +1402,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.8"
+   "version": "3.7.9"
   },
   "nav_menu": {
    "height": "252px",