diff --git a/notebooks/b05_Supervised_Learning/supervised_part1.ipynb b/notebooks/b05_Supervised_Learning/supervised_part1.ipynb
index a8d819c..cfddfba 100644
--- a/notebooks/b05_Supervised_Learning/supervised_part1.ipynb
+++ b/notebooks/b05_Supervised_Learning/supervised_part1.ipynb
@@ -52,8 +52,8 @@
    "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-21T02:09:27.383030Z",
-     "start_time": "2020-10-21T02:09:26.144881Z"
+     "end_time": "2020-10-21T03:47:12.541452Z",
+     "start_time": "2020-10-21T03:47:11.781470Z"
     }
    },
    "outputs": [],
@@ -110,7 +110,7 @@
     "\n",
     "- It's usually done by expert humans (Petrophysicists) with years to decades of experience, not an random human\n",
     "- it takes into account context in the form of prior knowledge, geology, nearby wells, rock samples, and many more. Many of these are forms of information the machine doesn't have access to\n",
-    "- The data is unbalanced with important rocks like sandstone sometimes appearing as very this layers\n",
+    "- The data is unbalanced with important rocks like sandstone sometimes appearing as very thin layers\n",
     "\n",
     "\n",
     "<table>\n",
@@ -148,8 +148,8 @@
    "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-21T02:09:38.627820Z",
-     "start_time": "2020-10-21T02:09:27.384522Z"
+     "end_time": "2020-10-21T03:47:14.397431Z",
+     "start_time": "2020-10-21T03:47:12.542954Z"
     }
    },
    "outputs": [
@@ -444,8 +444,8 @@
    "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-21T02:09:38.636710Z",
-     "start_time": "2020-10-21T02:09:38.629621Z"
+     "end_time": "2020-10-21T03:47:14.405942Z",
+     "start_time": "2020-10-21T03:47:14.399266Z"
     }
    },
    "outputs": [
@@ -483,8 +483,8 @@
    "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-21T02:09:39.559794Z",
-     "start_time": "2020-10-21T02:09:38.638189Z"
+     "end_time": "2020-10-21T03:47:15.285424Z",
+     "start_time": "2020-10-21T03:47:14.407381Z"
     }
    },
    "outputs": [
@@ -492,11 +492,11 @@
      "data": {
       "text/plain": [
        "(<Figure size 576x864 with 7 Axes>,\n",
-       " array([<matplotlib.axes._subplots.AxesSubplot object at 0x7fac0008b3c8>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fac00c3ec50>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fac00bd9c88>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fac04606f98>,\n",
-       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fac045c5208>],\n",
+       " array([<matplotlib.axes._subplots.AxesSubplot object at 0x7f83ef2edf98>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f83ee7a1898>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f83ef3101d0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f83f2ce50b8>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f83f2c972e8>],\n",
        "       dtype=object))"
       ]
      },
@@ -528,8 +528,8 @@
    "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-21T02:09:39.577823Z",
-     "start_time": "2020-10-21T02:09:39.561162Z"
+     "end_time": "2020-10-21T03:47:15.303973Z",
+     "start_time": "2020-10-21T03:47:15.286844Z"
     }
    },
    "outputs": [
@@ -777,19 +777,20 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "NOTE: our dataset is imbalanced, this is always import when considering a problem.\n",
+    "NOTE: our dataset is imbalanced, this is always important when considering a problem. it has two implications:\n",
     "    \n",
-    "1. so our baseline accuracy is 46.5\n",
-    "2. if we get poor performance may want to consider techniques to deal with unbalanced data. However we do not do this in the notebook"
+    "1. Our baseline accuracy is 46.5. We can get this by always guessing the most common class\n",
+    "2. if we get poor performance may want to consider techniques to deal with unbalanced data. However we do not need to do this in this notebook\n",
+    "3. We also mostly care about standstone which is a common drilling target"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-21T02:13:43.847898Z",
-     "start_time": "2020-10-21T02:13:43.704961Z"
+     "end_time": "2020-10-21T03:47:15.505352Z",
+     "start_time": "2020-10-21T03:47:15.305224Z"
     }
    },
    "outputs": [
@@ -810,7 +811,7 @@
        "Name: LITHOLOGY_GEOLINK, dtype: float64"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -837,15 +838,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-21T02:09:39.639857Z",
-     "start_time": "2020-10-21T02:09:39.579033Z"
+     "end_time": "2020-10-21T03:47:15.511463Z",
+     "start_time": "2020-10-21T03:47:15.506645Z"
     }
    },
    "outputs": [],
    "source": [
+    "# Note that, on this data, it might be better to split by depth. \n",
+    "# But we will keep it simple and standard to introduct the topic of test, train split\n",
     "X_train, X_test, y_train, y_test = train_test_split(\n",
     "    X, y, test_size=0.2, random_state=2020\n",
     ")"
@@ -876,11 +879,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:54.819562Z",
-     "start_time": "2020-10-07T11:49:54.813921Z"
+     "end_time": "2020-10-21T03:47:15.564942Z",
+     "start_time": "2020-10-21T03:47:15.513457Z"
     }
    },
    "outputs": [
@@ -902,11 +905,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:54.829698Z",
-     "start_time": "2020-10-07T11:49:54.824383Z"
+     "end_time": "2020-10-21T03:47:15.611641Z",
+     "start_time": "2020-10-21T03:47:15.566459Z"
     }
    },
    "outputs": [
@@ -917,7 +920,7 @@
        "       'Marlstone'], dtype=object)"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -941,11 +944,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:54.841628Z",
-     "start_time": "2020-10-07T11:49:54.833491Z"
+     "end_time": "2020-10-21T03:47:15.659273Z",
+     "start_time": "2020-10-21T03:47:15.612908Z"
     }
    },
    "outputs": [
@@ -955,7 +958,7 @@
        "LabelEncoder()"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -967,6 +970,34 @@
     "le.fit(classes)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-10-21T03:47:15.705183Z",
+     "start_time": "2020-10-21T03:47:15.660503Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Argillaceous Limestone', 'Calcareous Cement', 'Cinerite', 'Coal',\n",
+       "       'Cross Bedded Sst', 'Marlstone', 'Sandstone', 'Shaly Silt', 'Silt',\n",
+       "       'Silty Sand', 'Silty Shale'], dtype='<U22')"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We can look at the labels in this object\n",
+    "le.classes_"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -980,11 +1011,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:54.879678Z",
-     "start_time": "2020-10-07T11:49:54.843980Z"
+     "end_time": "2020-10-21T03:47:15.770110Z",
+     "start_time": "2020-10-21T03:47:15.706403Z"
     }
    },
    "outputs": [
@@ -1001,7 +1032,7 @@
        "KNeighborsClassifier(n_neighbors=15)"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1018,11 +1049,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:55.246717Z",
-     "start_time": "2020-10-07T11:49:54.881907Z"
+     "end_time": "2020-10-21T03:47:16.000697Z",
+     "start_time": "2020-10-21T03:47:15.771396Z"
     }
    },
    "outputs": [
@@ -1045,7 +1076,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We were able to predict the 11 different classes with >90% accuracy using new data. This is slightly better than random, however the accuracy is still very low. Let's train using the same algorithm and hyperparameters but this time we will normalise the data."
+    "We were able to predict the 11 different classes with >90% accuracy using new data. This is slightly better than the baseline, however the accuracy can be improved. Let's train using the same algorithm and hyperparameters but this time we will normalise the data."
    ]
   },
   {
@@ -1054,6 +1085,8 @@
    "source": [
     "## Normalised Data\n",
     "\n",
+    "There are options to normalising the data, which fit the petrophysics data better, but here will just consider normalising over the whole well.\n",
+    "\n",
     "\n",
     "### Why normalise the data?\n",
     "\n",
@@ -1074,11 +1107,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:55.260934Z",
-     "start_time": "2020-10-07T11:49:55.248569Z"
+     "end_time": "2020-10-21T03:47:16.015013Z",
+     "start_time": "2020-10-21T03:47:16.002026Z"
     }
    },
    "outputs": [],
@@ -1089,11 +1122,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:55.270881Z",
-     "start_time": "2020-10-07T11:49:55.262965Z"
+     "end_time": "2020-10-21T03:47:16.067632Z",
+     "start_time": "2020-10-21T03:47:16.016430Z"
     }
    },
    "outputs": [
@@ -1113,7 +1146,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1125,11 +1158,11 @@
   },
   {
    "cell_type": "code",
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+   "execution_count": 16,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:55.280999Z",
-     "start_time": "2020-10-07T11:49:55.272877Z"
+     "end_time": "2020-10-21T03:47:16.113541Z",
+     "start_time": "2020-10-21T03:47:16.068897Z"
     }
    },
    "outputs": [
@@ -1149,7 +1182,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1161,11 +1194,11 @@
   },
   {
    "cell_type": "code",
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+   "execution_count": 17,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:55.289851Z",
-     "start_time": "2020-10-07T11:49:55.282905Z"
+     "end_time": "2020-10-21T03:47:16.190648Z",
+     "start_time": "2020-10-21T03:47:16.114715Z"
     }
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    "outputs": [],
@@ -1178,11 +1211,11 @@
   },
   {
    "cell_type": "code",
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+   "execution_count": 18,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:55.298814Z",
-     "start_time": "2020-10-07T11:49:55.291816Z"
+     "end_time": "2020-10-21T03:47:16.241308Z",
+     "start_time": "2020-10-21T03:47:16.191842Z"
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    "outputs": [],
@@ -1198,11 +1231,11 @@
   },
   {
    "cell_type": "code",
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+   "execution_count": 19,
    "metadata": {
     "ExecuteTime": {
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-     "start_time": "2020-10-07T11:49:55.300999Z"
+     "end_time": "2020-10-21T03:47:16.610930Z",
+     "start_time": "2020-10-21T03:47:16.242474Z"
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@@ -1250,11 +1283,11 @@
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   {
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     "ExecuteTime": {
-     "end_time": "2020-10-07T11:49:56.498666Z",
-     "start_time": "2020-10-07T11:49:55.881907Z"
+     "end_time": "2020-10-21T03:47:16.899408Z",
+     "start_time": "2020-10-21T03:47:16.612308Z"
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@@ -1279,11 +1312,11 @@
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+   "execution_count": 21,
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-     "start_time": "2020-10-07T11:49:56.500411Z"
+     "end_time": "2020-10-21T03:47:17.140472Z",
+     "start_time": "2020-10-21T03:47:16.900717Z"
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@@ -1308,11 +1341,11 @@
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   {
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     "ExecuteTime": {
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-     "start_time": "2020-10-07T11:49:57.002450Z"
+     "end_time": "2020-10-21T03:47:17.300193Z",
+     "start_time": "2020-10-21T03:47:17.141766Z"
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@@ -1457,11 +1490,11 @@
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-     "start_time": "2020-10-07T11:49:57.424141Z"
+     "end_time": "2020-10-21T03:47:17.304721Z",
+     "start_time": "2020-10-21T03:47:17.302669Z"
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@@ -1526,11 +1559,11 @@
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     "ExecuteTime": {
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-     "start_time": "2020-10-07T11:49:57.429218Z"
+     "end_time": "2020-10-21T03:47:18.099385Z",
+     "start_time": "2020-10-21T03:47:17.306257Z"
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@@ -1549,11 +1582,11 @@
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-     "start_time": "2020-10-07T11:50:00.337588Z"
+     "end_time": "2020-10-21T03:47:18.103574Z",
+     "start_time": "2020-10-21T03:47:18.100780Z"
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@@ -1592,11 +1625,11 @@
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-     "start_time": "2020-10-07T11:51:22.446430Z"
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+     "start_time": "2020-10-21T03:47:18.104869Z"
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@@ -1648,11 +1681,11 @@
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-     "start_time": "2020-10-07T11:51:54.508785Z"
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@@ -1687,16 +1720,41 @@
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-     "start_time": "2020-10-07T11:51:38.800Z"
+     "end_time": "2020-10-21T03:47:39.687042Z",
+     "start_time": "2020-10-21T03:47:39.306156Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[]"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 288x864 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Plot the results as well logs\n",
+    "# NOTE: we are not seperating test and train here. \n",
+    "# See the RNN notebooks for a more detailed treatment, with better test train split\n",
     "X_sample = geolink.iloc[:, 1:-1]\n",
     "y_true = geolink[\"LITHOLOGY_GEOLINK\"]\n",
     "X_scaled = scaler.fit_transform(X_sample)\n",
@@ -1785,17 +1843,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:53:01.288049Z",
-     "start_time": "2020-10-07T11:52:59.249573Z"
+     "end_time": "2020-10-21T03:47:40.556929Z",
+     "start_time": "2020-10-21T03:47:39.688608Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1080x720 with 1 Axes>"
       ]
@@ -1828,11 +1886,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:53:01.523973Z",
-     "start_time": "2020-10-07T11:53:01.290188Z"
+     "end_time": "2020-10-21T03:47:40.730018Z",
+     "start_time": "2020-10-21T03:47:40.560015Z"
     }
    },
    "outputs": [
@@ -1862,11 +1920,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 31,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:54:07.583317Z",
-     "start_time": "2020-10-07T11:54:07.349846Z"
+     "end_time": "2020-10-21T03:47:40.896238Z",
+     "start_time": "2020-10-21T03:47:40.731701Z"
     }
    },
    "outputs": [
@@ -1927,11 +1985,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:53:06.005800Z",
-     "start_time": "2020-10-07T11:53:01.843543Z"
+     "end_time": "2020-10-21T03:47:44.072242Z",
+     "start_time": "2020-10-21T03:47:40.897969Z"
     }
    },
    "outputs": [
@@ -1939,7 +1997,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 0.9521037311458058\n"
+      "Accuracy: 0.9513098703360677\n"
      ]
     }
    ],
@@ -1959,11 +2017,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-07T11:53:10.230372Z",
-     "start_time": "2020-10-07T11:53:06.007455Z"
+     "end_time": "2020-10-21T03:47:47.172541Z",
+     "start_time": "2020-10-21T03:47:44.073680Z"
     }
    },
    "outputs": [
@@ -1971,7 +2029,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 0.9518391108758931\n"
+      "Accuracy: 0.9547499338449326\n"
      ]
     }
    ],
@@ -2031,7 +2089,7 @@
     "height": "calc(100% - 180px)",
     "left": "10px",
     "top": "150px",
-    "width": "384px"
+    "width": "217.999px"
    },
    "toc_section_display": true,
    "toc_window_display": true
diff --git a/notebooks/b05_Supervised_Learning/supervised_part1.py b/notebooks/b05_Supervised_Learning/supervised_part1.py
index f8cbb41..ad2afdb 100644
--- a/notebooks/b05_Supervised_Learning/supervised_part1.py
+++ b/notebooks/b05_Supervised_Learning/supervised_part1.py
@@ -90,7 +90,7 @@
 #
 # - It's usually done by expert humans (Petrophysicists) with years to decades of experience, not an random human
 # - it takes into account context in the form of prior knowledge, geology, nearby wells, rock samples, and many more. Many of these are forms of information the machine doesn't have access to
-# - The data is unbalanced with important rocks like sandstone sometimes appearing as very this layers
+# - The data is unbalanced with important rocks like sandstone sometimes appearing as very thin layers
 #
 #
 # <table>
@@ -149,10 +149,11 @@
 y = geolink["LITHOLOGY_GEOLINK"]
 X
 
-# NOTE: our dataset is imbalanced, this is always import when considering a problem.
+# NOTE: our dataset is imbalanced, this is always important when considering a problem. it has two implications:
 #     
-# 1. so our baseline accuracy is 46.5
-# 2. if we get poor performance may want to consider techniques to deal with unbalanced data. However we do not do this in the notebook
+# 1. Our baseline accuracy is 46.5. We can get this by always guessing the most common class
+# 2. if we get poor performance may want to consider techniques to deal with unbalanced data. However we do not need to do this in this notebook
+# 3. We also mostly care about standstone which is a common drilling target
 
 # Check dataset label balance
 counts = y.value_counts()
@@ -160,6 +161,8 @@
 counts.plot.bar()
 counts
 
+# Note that, on this data, it might be better to split by depth. 
+# But we will keep it simple and standard to introduct the topic of test, train split
 X_train, X_test, y_train, y_test = train_test_split(
     X, y, test_size=0.2, random_state=2020
 )
@@ -202,6 +205,9 @@
 # This will help the LabelEncoder to map the classes to a corresponding value between 0 and n_classes-1
 le.fit(classes)
 
+# We can look at the labels in this object
+le.classes_
+
 # The number of `neighbors` is a hyperparameter that must be set for this algorithm. We will arbitrarily select a value of 15 for this hyperparameter.
 #
 # > In machine learning, a hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are derived via training.
@@ -221,10 +227,12 @@
 y_true = le.transform(y_test.to_numpy())
 print("Accuracy: {}".format(accuracy_score(y_true, y_pred)))
 
-# We were able to predict the 11 different classes with >90% accuracy using new data. This is slightly better than random, however the accuracy is still very low. Let's train using the same algorithm and hyperparameters but this time we will normalise the data.
+# We were able to predict the 11 different classes with >90% accuracy using new data. This is slightly better than the baseline, however the accuracy can be improved. Let's train using the same algorithm and hyperparameters but this time we will normalise the data.
 
 # ## Normalised Data
 #
+# There are options to normalising the data, which fit the petrophysics data better, but here will just consider normalising over the whole well.
+#
 #
 # ### Why normalise the data?
 #
@@ -549,6 +557,8 @@
 
 # +
 # Plot the results as well logs
+# NOTE: we are not seperating test and train here. 
+# See the RNN notebooks for a more detailed treatment, with better test train split
 X_sample = geolink.iloc[:, 1:-1]
 y_true = geolink["LITHOLOGY_GEOLINK"]
 X_scaled = scaler.fit_transform(X_sample)