ml2/3_7_SVM.ipynb

@@ -222,7 +222,7 @@
     "kernel = types_of_kernels[0]\n",
     "gamma = 3.0\n",
     "\n",
-    "# Create SVM model\n",
+    "# Create kNN model\n",
     "model = SVC(kernel=kernel, probability=True, gamma=gamma)"
    ]
   },
@@ -418,7 +418,7 @@
     "plt.ylim([0.0, 1.0])\n",
     "plt.title('ROC curve for Titanic')\n",
     "plt.xlabel('False Positive Rate (1 - Recall)')\n",
-    "plt.ylabel('True Positive Rate (Sensitivity)')\n",
+    "plt.xlabel('True Positive Rate (Sensitivity)')\n",
     "plt.grid(True)"
    ]
   },