Fixed confusion matrix labels

Author: GraemeMalcolm

03 - Classification.ipynb

@@ -946,8 +946,8 @@
     "tick_marks = np.arange(len(penguin_classes))\n",
     "plt.xticks(tick_marks, penguin_classes, rotation=45)\n",
     "plt.yticks(tick_marks, penguin_classes)\n",
-    "plt.xlabel(\"Actual Species\")\n",
-    "plt.ylabel(\"Predicted Species\")\n",
+    "plt.xlabel(\"Predicted Species\")\n",
+    "plt.ylabel(\"Actual Species\")\n",
     "plt.show()"
    ]
   },
@@ -1083,8 +1083,8 @@
     "tick_marks = np.arange(len(penguin_classes))\n",
     "plt.xticks(tick_marks, penguin_classes, rotation=45)\n",
     "plt.yticks(tick_marks, penguin_classes)\n",
-    "plt.xlabel(\"Actual Species\")\n",
-    "plt.ylabel(\"Predicted Species\")\n",
+    "plt.xlabel(\"Predicted Species\")\n",
+    "plt.ylabel(\"Actual Species\")\n",
     "plt.show()"
    ]
   },

05b - Convolutional Neural Networks (PyTorch).ipynb

@@ -415,8 +415,8 @@
     "tick_marks = np.arange(len(classes))\n",
     "plt.xticks(tick_marks, classes, rotation=45)\n",
     "plt.yticks(tick_marks, classes)\n",
-    "plt.xlabel(\"Actual Shape\")\n",
-    "plt.ylabel(\"Predicted Shape\")\n",
+    "plt.xlabel(\"Predicted Shape\")\n",
+    "plt.ylabel(\"Actual Shape\")\n",
     "plt.show()"
    ]
   },
@@ -572,4 +572,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

05b - Convolutional Neural Networks (Tensorflow).ipynb

@@ -288,8 +288,8 @@
     "tick_marks = np.arange(len(classnames))\n",
     "plt.xticks(tick_marks, classnames, rotation=85)\n",
     "plt.yticks(tick_marks, classnames)\n",
-    "plt.xlabel(\"Actual Shape\")\n",
-    "plt.ylabel(\"Predicted Shape\")\n",
+    "plt.xlabel(\"Predicted Shape\")\n",
+    "plt.ylabel(\"Actual Shape\")\n",
     "plt.show()"
    ]
   },

05c - Transfer Learning (PyTorch).ipynb

@@ -379,8 +379,8 @@
     "tick_marks = np.arange(len(classes))\n",
     "plt.xticks(tick_marks, classes, rotation=45)\n",
     "plt.yticks(tick_marks, classes)\n",
-    "plt.xlabel(\"Actual Shape\")\n",
-    "plt.ylabel(\"Predicted Shape\")\n",
+    "plt.xlabel(\"Predicted Shape\")\n",
+    "plt.ylabel(\"Actual Shape\")\n",
     "plt.show()"
    ]
   },
@@ -502,4 +502,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

05c - Transfer Learning (Tensorflow).ipynb

@@ -274,8 +274,8 @@
     "tick_marks = np.arange(len(classnames))\n",
     "plt.xticks(tick_marks, classnames, rotation=85)\n",
     "plt.yticks(tick_marks, classnames)\n",
-    "plt.xlabel(\"Actual Shape\")\n",
-    "plt.ylabel(\"Predicted Shape\")\n",
+    "plt.xlabel(\"Predicted Shape\")\n",
+    "plt.ylabel(\"Actual Shape\")\n",
     "plt.show()"
    ]
   },
@@ -387,4 +387,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}