Intro to ML via Abalone.ipynb

{
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sex</th>\n",
       "      <th>Length</th>\n",
       "      <th>Diameter</th>\n",
       "      <th>Height</th>\n",
       "      <th>Whole weight</th>\n",
       "      <th>Shucked weight</th>\n",
       "      <th>Viscera weight</th>\n",
       "      <th>Shell weight</th>\n",
       "      <th>Rings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.5140</td>\n",
       "      <td>0.2245</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>0.150</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.2255</td>\n",
       "      <td>0.0995</td>\n",
       "      <td>0.0485</td>\n",
       "      <td>0.070</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F</td>\n",
       "      <td>0.530</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.6770</td>\n",
       "      <td>0.2565</td>\n",
       "      <td>0.1415</td>\n",
       "      <td>0.210</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.5160</td>\n",
       "      <td>0.2155</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>0.155</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.0895</td>\n",
       "      <td>0.0395</td>\n",
       "      <td>0.055</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Sex  Length  Diameter  Height  Whole weight  Shucked weight  Viscera weight  \\\n",
       "0   M   0.455     0.365   0.095        0.5140          0.2245          0.1010   \n",
       "1   M   0.350     0.265   0.090        0.2255          0.0995          0.0485   \n",
       "2   F   0.530     0.420   0.135        0.6770          0.2565          0.1415   \n",
       "3   M   0.440     0.365   0.125        0.5160          0.2155          0.1140   \n",
       "4   I   0.330     0.255   0.080        0.2050          0.0895          0.0395   \n",
       "\n",
       "   Shell weight  Rings  \n",
       "0         0.150     15  \n",
       "1         0.070      7  \n",
       "2         0.210      9  \n",
       "3         0.155     10  \n",
       "4         0.055      7  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from pandas import DataFrame\n",
    "import matplotlib.pyplot as plot\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "\n",
    "target_url = (\"http://archive.ics.uci.edu/ml/machine-\"\n",
    "              \"learning-databases/abalone/abalone.data\")\n",
    "\n",
    "# we use pandas to read the dataset and specify its feature names\n",
    "abalone = pd.read_csv(target_url,header=None, prefix=\"V\")\n",
    "abalone.columns = ['Sex', 'Length', 'Diameter', 'Height',\n",
    "                   'Whole weight', 'Shucked weight',\n",
    "                   'Viscera weight', 'Shell weight', 'Rings']\n",
    "# this line displays the first five rows of the dataset\n",
    "abalone.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sex               0\n",
       "Length            0\n",
       "Diameter          0\n",
       "Height            0\n",
       "Whole weight      0\n",
       "Shucked weight    0\n",
       "Viscera weight    0\n",
       "Shell weight      0\n",
       "Rings             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking if there are any null values\n",
    "abalone.isnull().sum(axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Length</th>\n",
       "      <th>Diameter</th>\n",
       "      <th>Height</th>\n",
       "      <th>Whole weight</th>\n",
       "      <th>Shucked weight</th>\n",
       "      <th>Viscera weight</th>\n",
       "      <th>Shell weight</th>\n",
       "      <th>Rings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4177.000000</td>\n",
       "      <td>4177.000000</td>\n",
       "      <td>4177.000000</td>\n",
       "      <td>4177.000000</td>\n",
       "      <td>4177.000000</td>\n",
       "      <td>4177.000000</td>\n",
       "      <td>4177.000000</td>\n",
       "      <td>4177.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.523992</td>\n",
       "      <td>0.407881</td>\n",
       "      <td>0.139516</td>\n",
       "      <td>0.828742</td>\n",
       "      <td>0.359367</td>\n",
       "      <td>0.180594</td>\n",
       "      <td>0.238831</td>\n",
       "      <td>9.933684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.120093</td>\n",
       "      <td>0.099240</td>\n",
       "      <td>0.041827</td>\n",
       "      <td>0.490389</td>\n",
       "      <td>0.221963</td>\n",
       "      <td>0.109614</td>\n",
       "      <td>0.139203</td>\n",
       "      <td>3.224169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.075000</td>\n",
       "      <td>0.055000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.450000</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.115000</td>\n",
       "      <td>0.441500</td>\n",
       "      <td>0.186000</td>\n",
       "      <td>0.093500</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.545000</td>\n",
       "      <td>0.425000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.799500</td>\n",
       "      <td>0.336000</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.234000</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.615000</td>\n",
       "      <td>0.480000</td>\n",
       "      <td>0.165000</td>\n",
       "      <td>1.153000</td>\n",
       "      <td>0.502000</td>\n",
       "      <td>0.253000</td>\n",
       "      <td>0.329000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.815000</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>1.130000</td>\n",
       "      <td>2.825500</td>\n",
       "      <td>1.488000</td>\n",
       "      <td>0.760000</td>\n",
       "      <td>1.005000</td>\n",
       "      <td>29.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Length     Diameter       Height  Whole weight  Shucked weight  \\\n",
       "count  4177.000000  4177.000000  4177.000000   4177.000000     4177.000000   \n",
       "mean      0.523992     0.407881     0.139516      0.828742        0.359367   \n",
       "std       0.120093     0.099240     0.041827      0.490389        0.221963   \n",
       "min       0.075000     0.055000     0.000000      0.002000        0.001000   \n",
       "25%       0.450000     0.350000     0.115000      0.441500        0.186000   \n",
       "50%       0.545000     0.425000     0.140000      0.799500        0.336000   \n",
       "75%       0.615000     0.480000     0.165000      1.153000        0.502000   \n",
       "max       0.815000     0.650000     1.130000      2.825500        1.488000   \n",
       "\n",
       "       Viscera weight  Shell weight        Rings  \n",
       "count     4177.000000   4177.000000  4177.000000  \n",
       "mean         0.180594      0.238831     9.933684  \n",
       "std          0.109614      0.139203     3.224169  \n",
       "min          0.000500      0.001500     1.000000  \n",
       "25%          0.093500      0.130000     8.000000  \n",
       "50%          0.171000      0.234000     9.000000  \n",
       "75%          0.253000      0.329000    11.000000  \n",
       "max          0.760000      1.005000    29.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# statistical description of the data\n",
    "abalone.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Length</th>\n",
       "      <th>Diameter</th>\n",
       "      <th>Height</th>\n",
       "      <th>Whole weight</th>\n",
       "      <th>Shucked weight</th>\n",
       "      <th>Viscera weight</th>\n",
       "      <th>Shell weight</th>\n",
       "      <th>Rings</th>\n",
       "      <th>Sex_F</th>\n",
       "      <th>Sex_I</th>\n",
       "      <th>Sex_M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.455</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.5140</td>\n",
       "      <td>0.2245</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>0.150</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.350</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.2255</td>\n",
       "      <td>0.0995</td>\n",
       "      <td>0.0485</td>\n",
       "      <td>0.070</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.530</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.6770</td>\n",
       "      <td>0.2565</td>\n",
       "      <td>0.1415</td>\n",
       "      <td>0.210</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.440</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.5160</td>\n",
       "      <td>0.2155</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>0.155</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.0895</td>\n",
       "      <td>0.0395</td>\n",
       "      <td>0.055</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Length  Diameter  Height  Whole weight  Shucked weight  Viscera weight  \\\n",
       "0   0.455     0.365   0.095        0.5140          0.2245          0.1010   \n",
       "1   0.350     0.265   0.090        0.2255          0.0995          0.0485   \n",
       "2   0.530     0.420   0.135        0.6770          0.2565          0.1415   \n",
       "3   0.440     0.365   0.125        0.5160          0.2155          0.1140   \n",
       "4   0.330     0.255   0.080        0.2050          0.0895          0.0395   \n",
       "\n",
       "   Shell weight  Rings  Sex_F  Sex_I  Sex_M  \n",
       "0         0.150     15      0      0      1  \n",
       "1         0.070      7      0      0      1  \n",
       "2         0.210      9      1      0      0  \n",
       "3         0.155     10      0      0      1  \n",
       "4         0.055      7      0      1      0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert categorical Sex into binary numeric by one-hot encoding\n",
    "abalone = pd.get_dummies(abalone)\n",
    "abalone.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features in Descending Order of Importance ['Shell weight', 'Diameter', 'Height', 'Length', 'Whole weight', 'Viscera weight', 'Shucked weight']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x4320 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#calculate and round off correlation matrix\n",
    "corMat = DataFrame(abalone.iloc[:,:8].corr()).values\n",
    "corMat = np.around(corMat, decimals = 3)\n",
    "\n",
    "#print correlation with target variable\n",
    "feature_importance = DataFrame(abalone.iloc[:,:8].corr()).iloc[:-1, -1].sort_values(ascending=False)\n",
    "print('Features in Descending Order of Importance', list(feature_importance.index))\n",
    "\n",
    "#visualize correlation matrix\n",
    "columns = ['Length', 'Diameter', 'Height', 'Whole weight', 'Shucked weight', 'Viscera weight', 'Shell weight', 'Rings']\n",
    "fig, ax = plot.subplots(figsize = (20,60))\n",
    "im = ax.imshow(corMat)\n",
    "\n",
    "ax.set_xticks(range(len(corMat)))\n",
    "ax.set_yticks(range(len(corMat)))\n",
    "ax.set_xticklabels(columns)\n",
    "ax.set_yticklabels(columns)\n",
    "\n",
    "for i in range(8):\n",
    "    for j in range(8):\n",
    "        text = ax.text(j, i, corMat[i, j],\n",
    "                       ha=\"center\", va=\"center\", color=\"w\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29}\n"
     ]
    }
   ],
   "source": [
    "# see that the target feature is discrete\n",
    "print(set(abalone['Rings']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting distribution of target\n",
    "n, bins, patches = plot.hist(abalone['Rings'], bins = 29)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separate the target value\n",
    "y = abalone[\"Rings\"]\n",
    "X = abalone.drop(columns = \"Rings\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "# splitting into training and testing set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state = 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.2021531100478469\n",
      "0.22129186602870812\n"
     ]
    }
   ],
   "source": [
    "# KNN\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "# Initializing classifier and giving hyperparameter k=3\n",
    "knn = KNeighborsClassifier(n_neighbors=3)\n",
    "# training classifier\n",
    "knn.fit(X_train, y_train)\n",
    "# Evaluate the classifier\n",
    "print(knn.score(X_test, y_test))\n",
    "\n",
    "# Try changing hyperparameter\n",
    "knn = KNeighborsClassifier(n_neighbors=5)\n",
    "knn.fit(X_train, y_train)\n",
    "print(knn.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.23086124401913877\n"
     ]
    }
   ],
   "source": [
    "# Logistic Regression\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "# Initializing classifier with one-v-rest approach. random_state is to ensure same results in every execution.\n",
    "logr = LogisticRegression(multi_class = 'ovr', random_state=3)\n",
    "# training classifier\n",
    "logr.fit(X_train, y_train)\n",
    "# Evaluate the classifier\n",
    "print(logr.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.25478468899521534\n"
     ]
    }
   ],
   "source": [
    "# Decision Tree\n",
    "from sklearn.tree import plot_tree\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "# Initializing classifier. random_state is to ensure same results in every execution. max_depth is to specify number of splits\n",
    "dt = DecisionTreeClassifier(random_state=0, max_depth = 3)\n",
    "# training classifier\n",
    "dt.fit(X_train, y_train)\n",
    "# Evaluate the classifier\n",
    "print(dt.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn import tree\n",
    "\n",
    "target_names = list(set(abalone[\"Rings\"]))\n",
    "target_names = [str(target_names[i]) for i in range(len(target_names))]\n",
    "columns = ['Length', 'Diameter', 'Height', 'Whole weight', 'Shucked weight', 'Viscera weight', 'Shell weight', 'Sex_F', 'Sex_I', \n",
    "          'Sex_M']\n",
    "fig = plot.figure(figsize=(25,20))\n",
    "_ = tree.plot_tree(dt, feature_names = columns, class_names = target_names, filled = True)\n",
    "fig.savefig(\"decision_tree.jpeg\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}