Correct plot labels of AUPRC

The AUPRC plot takes precision for x-axis and recall for y-axis.

Author: jung-hunsoo

site/en/tutorials/structured_data/imbalanced_data.ipynb

@@ -986,8 +986,8 @@
         "    precision, recall, _ = sklearn.metrics.precision_recall_curve(labels, predictions)\r\n",
         "\r\n",
         "    plt.plot(precision, recall, label=name, linewidth=2, **kwargs)\r\n",
-        "    plt.xlabel('Recall')\r\n",
-        "    plt.ylabel('Precision')\r\n",
+        "    plt.xlabel('Precision')\r\n",
+        "    plt.ylabel('Recall')\r\n",
         "    plt.grid(True)\r\n",
         "    ax = plt.gca()\r\n",
         "    ax.set_aspect('equal')"