Change verbosity paramter and remove fnlwgt column

Author: rohanchopra

Chapter 6/Exercise 1 - Install the XGBoost library for Python and use it to perform classification.ipynb

@@ -310,7 +310,7 @@
     }
    ],
    "source": [
-    "param = {'max_depth':6, 'eta':0.1, 'verbosity':4, 'objective':'multi:softmax', 'num_class': 3}\n",
+    "param = {'max_depth':6, 'eta':0.1, 'silent':1, 'objective':'multi:softmax', 'num_class': 3}\n",
     "num_round = 5\n",
     "model = xgb.train(param, train, num_round)"
    ]

Chapter 6/Exercise 3 - Creating a Python script that predicts based on real-time input.ipynb

@@ -21,7 +21,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data = pd.read_csv(\"../data/adult-data.csv\", names=['age', 'workclass', 'fnlwgt', 'education-num',\n",
+    "data = pd.read_csv(\"data/adult-data.csv\", names=['age', 'workclass', 'education-num',\n",
     "                                                 'occupation', 'capital-gain', 'capital-loss',\n",
     "                                                 'hours-per-week', 'income'])"
    ]
@@ -56,7 +56,6 @@
        "      <th></th>\n",
        "      <th>age</th>\n",
        "      <th>workclass</th>\n",
-       "      <th>fnlwgt</th>\n",
        "      <th>education-num</th>\n",
        "      <th>occupation</th>\n",
        "      <th>capital-gain</th>\n",
@@ -70,7 +69,6 @@
        "      <th>0</th>\n",
        "      <td>39</td>\n",
        "      <td>State-gov</td>\n",
-       "      <td>77516</td>\n",
        "      <td>13</td>\n",
        "      <td>Adm-clerical</td>\n",
        "      <td>2174</td>\n",
@@ -82,7 +80,6 @@
        "      <th>1</th>\n",
        "      <td>50</td>\n",
        "      <td>Self-emp-not-inc</td>\n",
-       "      <td>83311</td>\n",
        "      <td>13</td>\n",
        "      <td>Exec-managerial</td>\n",
        "      <td>0</td>\n",
@@ -94,7 +91,6 @@
        "      <th>2</th>\n",
        "      <td>38</td>\n",
        "      <td>Private</td>\n",
-       "      <td>215646</td>\n",
        "      <td>9</td>\n",
        "      <td>Handlers-cleaners</td>\n",
        "      <td>0</td>\n",
@@ -106,7 +102,6 @@
        "      <th>3</th>\n",
        "      <td>53</td>\n",
        "      <td>Private</td>\n",
-       "      <td>234721</td>\n",
        "      <td>7</td>\n",
        "      <td>Handlers-cleaners</td>\n",
        "      <td>0</td>\n",
@@ -118,7 +113,6 @@
        "      <th>4</th>\n",
        "      <td>28</td>\n",
        "      <td>Private</td>\n",
-       "      <td>338409</td>\n",
        "      <td>13</td>\n",
        "      <td>Prof-specialty</td>\n",
        "      <td>0</td>\n",
@@ -131,19 +125,19 @@
        "</div>"
       ],
       "text/plain": [
-       "   age          workclass  fnlwgt  education-num          occupation  \\\n",
-       "0   39          State-gov   77516             13        Adm-clerical   \n",
-       "1   50   Self-emp-not-inc   83311             13     Exec-managerial   \n",
-       "2   38            Private  215646              9   Handlers-cleaners   \n",
-       "3   53            Private  234721              7   Handlers-cleaners   \n",
-       "4   28            Private  338409             13      Prof-specialty   \n",
+       "   age          workclass  education-num          occupation  capital-gain  \\\n",
+       "0   39          State-gov             13        Adm-clerical          2174   \n",
+       "1   50   Self-emp-not-inc             13     Exec-managerial             0   \n",
+       "2   38            Private              9   Handlers-cleaners             0   \n",
+       "3   53            Private              7   Handlers-cleaners             0   \n",
+       "4   28            Private             13      Prof-specialty             0   \n",
        "\n",
-       "   capital-gain  capital-loss  hours-per-week  income  \n",
-       "0          2174             0              40   <=50K  \n",
-       "1             0             0              13   <=50K  \n",
-       "2             0             0              40   <=50K  \n",
-       "3             0             0              40   <=50K  \n",
-       "4             0             0              40   <=50K  "
+       "   capital-loss  hours-per-week  income  \n",
+       "0             0              40   <=50K  \n",
+       "1             0              13   <=50K  \n",
+       "2             0              40   <=50K  \n",
+       "3             0              40   <=50K  \n",
+       "4             0              40   <=50K  "
       ]
      },
      "execution_count": 3,
@@ -175,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -184,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,7 +192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -207,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -218,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -228,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -238,7 +232,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -249,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,14 +252,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 83.63%\n"
+      "Accuracy: 83.66%\n"
      ]
     }
    ],
@@ -276,7 +270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [