Titanic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv('titanic_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 12 columns):\n",
      "PassengerId    891 non-null int64\n",
      "Survived       891 non-null int64\n",
      "Pclass         891 non-null int64\n",
      "Name           891 non-null object\n",
      "Sex            891 non-null object\n",
      "Age            714 non-null float64\n",
      "SibSp          891 non-null int64\n",
      "Parch          891 non-null int64\n",
      "Ticket         891 non-null object\n",
      "Fare           891 non-null float64\n",
      "Cabin          204 non-null object\n",
      "Embarked       889 non-null object\n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 83.6+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\hriti\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kde.py:488: RuntimeWarning: invalid value encountered in true_divide\n",
      "  binned = fast_linbin(X, a, b, gridsize) / (delta * nobs)\n",
      "C:\\Users\\hriti\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kdetools.py:34: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  FAC1 = 2*(np.pi*bw/RANGE)**2\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1ae77437278>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1311.88x1260 with 56 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data,hue='Survived')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ae0793c6d8>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "sns.countplot(x='Survived',hue='Sex',data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ae77437b00>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "sns.countplot(x='Survived',hue='Pclass',data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ae07a90320>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.isnull(),yticklabels=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop('Cabin',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1ae7c4f9d30>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAGoCAYAAAATsnHAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAGNZJREFUeJzt3X+w5Xdd3/HnK7sEFAIh7FqYbNZECa2BQUJvEyqOBqFlE2zSVsD8sIJD2aEFbUeljdZGDGWk0FFBg7hFyo8xiRHUbnEhUEBgwIQskASSGLtuQrIGTJZgAImGzbz7xzkbDnfv7h527/fc973n+Zg5s+d8z2fPed0zn/2+9vs93/v9pqqQJKmbY1Y6gCRJS7GgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWlq/0gGOgKe+kLQWZKUDdOcWlCSppdW4BSVJS7r82jtm9l4Xnrl5Zu81r9yCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSW1q90gFm6/No7Zvp+F565eabvJ0lriVtQkqSWLChJUktztYtPmoa7gqUe3IKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktpapWOsO3Jcn7gA1H+Nc3AHuXMc7R6JKlSw7ok6VLDuiTpUsO6JPlaHPsraotyxVmLVp1BXU0kuysqoWVzgF9snTJAX2ydMkBfbJ0yQF9snTJsZa5i0+S1JIFJUlqad4KattKB5jQJUuXHNAnS5cc0CdLlxzQJ0uXHGvWXH0HJUlaPeZtC0qStEpYUJKkliwoSVJLFpQkqaVVV1BbtmwpwJs3b95W+20qa3SdN5VVV1B793Y4w4kkzcY8r/NWXUFJkuaDBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklpaP9QLJ3kr8KPA3VX1lCWeD/AG4Bzg68CLq+rTQ2Q5+eI/OWDZ7a993hBvpVXMeaJpOE9mZ8gtqLcBWw7x/NnAqePbVuC3hwix1GQ61HLNJ+eJpuE8ma3BCqqqPgrce4gh5wHvqJFrgOOTPGGoPJKk1WWwXXxTOBG4c+LxnvGyLywemGQro60sNm/ePJNwkrRSJtd5Gx5/Ipdfe8eKZbnwzJVb567kQRJZYtmSV1qsqm1VtVBVCxs3bhw4liStrMl13nHHn7DScVbMShbUHuCkicebgLtWKIskqZmVLKjtwE9m5BnAfVV1wO69o3Wwo2s86kaTnCeahvNktoY8zPwK4CxgQ5I9wC8DDwOoqjcDOxgdYr6L0WHmPzVUFiePpuE80TScJ7MzWEFV1QWHeb6Alw/1/pKk1c0zSUiSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqadCCSrIlya1JdiW5eInnNyf5cJLPJLkxyTlD5pEkrR6DFVSSdcBlwNnAacAFSU5bNOyXgKuq6nTgfOBNQ+WRJK0uQ25BnQHsqqrdVfUAcCVw3qIxBTx6fP8xwF0D5pEkrSLrB3ztE4E7Jx7vAc5cNOZVwPuT/DTwSOA5S71Qkq3AVoDNmzcve1BJ6mTxOu/CM+dzvTfkFlSWWFaLHl8AvK2qNgHnAO9MckCmqtpWVQtVtbBx48YBokpSH67zRoYsqD3ASROPN3HgLryXAFcBVNWfAY8ANgyYSZK0SgxZUNcBpyY5JcmxjA6C2L5ozB3AswGSfB+jgrpnwEySpFVisIKqqn3AK4CrgVsYHa13U5JLk5w7HvZzwEuT3ABcAby4qhbvBpQkzaEhD5KgqnYAOxYtu2Ti/s3AM4fMIElanTyThCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLQ1aUEm2JLk1ya4kFx9kzAuT3JzkpiSXD5lHkrR6rB/qhZOsAy4D/hmwB7guyfaqunlizKnALwDPrKovJ/muofJIklaXIbegzgB2VdXuqnoAuBI4b9GYlwKXVdWXAarq7gHzSJJWkSEL6kTgzonHe8bLJj0JeFKSjye5JsmWpV4oydYkO5PsvOeeewaKK0k9uM4bGbKgssSyWvR4PXAqcBZwAfCWJMcf8JeqtlXVQlUtbNy4cdmDSlInrvNGhiyoPcBJE483AXctMeZ/V9U3quo24FZGhSVJmnNDFtR1wKlJTklyLHA+sH3RmD8GngWQZAOjXX67B8wkSVolBiuoqtoHvAK4GrgFuKqqbkpyaZJzx8OuBr6U5Gbgw8Arq+pLQ2WSJK0egx1mDlBVO4Adi5ZdMnG/gJ8d3yRJeohnkpAktWRBSZJasqAkSS1ZUJKklg55kESSr3LgL9c+pKoeveyJJEniMAVVVccBJLkU+CLwTkZniLgIOG7wdJKkuTXtLr7nVtWbquqrVfWVqvpt4MeGDCZJmm/TFtSDSS5Ksi7JMUkuAh4cMpgkab5NW1AXAi8E/np8e8F4mSRJg5jqTBJVdTsHXstJkqTBTLUFleRJST6Y5HPjx09N8kvDRpMkzbNpd/H9T0aXZv8GQFXdyOjs5JIkDWLagvrOqvrkomX7ljuMJEn7TVtQe5N8L+Nf2k3yfOALg6WSJM29aS+38XJgG/CPkvwVcBujX9aVJGkQ0xbU56vqOUkeCRxTVV8dMpQkSdPu4rstyTbgGcDXBswjSRIwfUH9Q+D/MtrVd1uS30ryg8PFkiTNu6kKqqrur6qrqupfA6cDjwY+MmgySdJcm/p6UEl+OMmbgE8Dj2B06iNJkgYx1UESSW4DrgeuAl5ZVX87aCpJ0tyb9ii+76+qrwyaRJKkCYe7ou5/qqrXAa9JcsCVdavqZwZLJkmaa4fbgrpl/OfOoYNIkjTpcJd8/z/juzdW1WdmkEeSJGD6o/h+LcmfJ3l1kicPmkiSJKb/PahnAWcB9wDbknzW60FJkoY09e9BVdUXq+qNwMsYHXJ+yWCpJElzb9or6n5fkleNr6j7W8AngE2DJpMkzbVpfw/qfwFXAP+8qu4aMI8kScAUBZVkHfCXVfWGGeSRJAmYYhdfVT0IPC7JsTPII0kS8G1csBD4eJLtwEPn4auqXxsklSRp7k1bUHeNb8cAxw0XR5KkkakKqqp+ZeggkiRNmvZyGx8GljpZ7I8seyJJkph+F9/PT9x/BPBjwL7ljyNJ0si0u/g+tWjRx5N4yXdJ0mCm3cV3wsTDY4AF4PGDJJIkiel38X2Kb34HtQ+4HXjJEIEkSYLDX1H3nwB3VtUp48cvYvT90+3AzYOnkyTNrcOdSeJ3gAcAkvwQ8KvA24H7gG3DRpMkzbPD7eJbV1X3ju//OLCtqt4NvDvJ9cNGkyTNs8NtQa1Lsr/Eng18aOK5ab+/kiTp23a4krkC+EiSvcD9wMcAkjyR0W4+SZIGcciCqqrXJPkg8ATg/VW1/0i+Y4CfHjqcJGl+HXY3XVVds8SyvxgmjiRJI1Nd8v1IJdmS5NYku5JcfIhxz09SSRaGzCNJWj0GK6jxlXgvA84GTgMuSHLaEuOOA34GuHaoLJKk1WfILagzgF1VtbuqHgCuBM5bYtyrgdcBfzdgFknSKjNkQZ0I3DnxeM942UOSnA6cVFXvOdQLJdmaZGeSnffcc8/yJ5WkRlznjQxZUFli2UPXlEpyDPDrwM8d7oWqaltVLVTVwsaNG5cxoiT14zpvZMiC2gOcNPF4E6PLxu93HPAU4E+T3A48A9jugRKSJBi2oK4DTk1ySpJjgfOB7fufrKr7qmpDVZ1cVScD1wDnVtXOATNJklaJwQqqqvYBrwCuBm4Brqqqm5JcmuTcod5XkrQ2DHo+varaAexYtOySg4w9a8gskqTVZdBf1JUk6UhZUJKkliwoSVJLFpQkqSULSpLUkgUlSWrJgpIktWRBSZJasqAkSS1ZUJKkliwoSVJLFpQkqSULSpLUkgUlSWrJgpIktWRBSZJasqAkSS1ZUJKkliwoSVJLFpQkqSULSpLUkgUlSWrJgpIktWRBSZJasqAkSS1ZUJKkliwoSVJLFpQkqSULSpLUkgUlSWrJgpIktWRBSZJasqAkSS1ZUJKkliwoSVJLFpQkqSULSpLUkgUlSWrJgpIktWRBSZJasqAkSS1ZUJKkliwoSVJLFpQkqSULSpLUkgUlSWpp0IJKsiXJrUl2Jbl4ied/NsnNSW5M8sEk3z1kHknS6jFYQSVZB1wGnA2cBlyQ5LRFwz4DLFTVU4F3Aa8bKo8kaXUZcgvqDGBXVe2uqgeAK4HzJgdU1Yer6uvjh9cAmwbMI0laRdYP+NonAndOPN4DnHmI8S8B3rvUE0m2AlsBNm/evFz5JKmlyXXehsefyOXX3rHCiZbHhWd+e+vvIbegssSyWnJg8hPAAvD6pZ6vqm1VtVBVCxs3blzGiJLUz+Q677jjT1jpOCtmyC2oPcBJE483AXctHpTkOcB/AX64qv5+wDySpFVkyC2o64BTk5yS5FjgfGD75IAkpwO/A5xbVXcPmEWStMoMVlBVtQ94BXA1cAtwVVXdlOTSJOeOh70eeBTwB0muT7L9IC8nSZozQ+7io6p2ADsWLbtk4v5zhnx/SdLq5ZkkJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLVkQUmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlqyYKSJLW0fsgXT7IFeAOwDnhLVb120fMPB94B/GPgS8CPV9Xty53j5Iv/5IBlt7/2ecv9NlrlnCeahvNkdgbbgkqyDrgMOBs4DbggyWmLhr0E+HJVPRH4deC/L3eOpSbToZZrPjlPNA3nyWwNuYvvDGBXVe2uqgeAK4HzFo05D3j7+P67gGcnyYCZJEmrxJC7+E4E7px4vAc482BjqmpfkvuAxwF7Jwcl2QpsBdi8efNQeSWphcXrvAvPnM/13pBbUEttCdURjKGqtlXVQlUtbNy4cVnCSVJXrvNGhiyoPcBJE483AXcdbEyS9cBjgHsHzCRJWiWGLKjrgFOTnJLkWOB8YPuiMduBF43vPx/4UFUdsAV1NA52dI1H3WiS80TTcJ7MVpa5D771xZNzgN9gdJj5W6vqNUkuBXZW1fYkjwDeCZzOaMvp/KrafajXXFhYqJ07dw6WWZJmZKoDwtboOm+qn33Q34Oqqh3AjkXLLpm4/3fAC4bMIElanTyThCSpJQtKktSSBSVJasmCkiS1ZEFJklqyoCRJLVlQkqSWLChJUksWlCSpJQtKktSSBSVJamnQk8UOIck9wOeP8K9vYNHFEFdQlyxdckCfLF1yQJ8sXXJAnyxHm2NvVW053KAk75tm3Fq06grqaCTZWVULK50D+mTpkgP6ZOmSA/pk6ZID+mTpkmMtcxefJKklC0qS1NK8FdS2lQ4woUuWLjmgT5YuOaBPli45oE+WLjnWrLn6DkqStHrM2xaUJGmVsKAkSS2tiYJK8tYkdyf53EGeT5I3JtmV5MYkT5947kVJ/t/49qIZZLlonOHGJJ9I8v0Tz92e5LNJrk+yc+AcZyW5b/xe1ye5ZOK5LUluHX9eFx9NjimzvHIix+eSPJjkhPFzy/mZnJTkw0luSXJTkv+wxJjB58qUOWY1T6bJMvhcmTLHrObJI5J8MskN4yy/ssSYhyf5/fHPfW2Skyee+4Xx8luTPPdossy9qlr1N+CHgKcDnzvI8+cA7wUCPAO4drz8BGD3+M/Hju8/duAsP7D/PYCz92cZP74d2DCjz+Qs4D1LLF8H/CXwPcCxwA3AaUNmWTT2XwAfGugzeQLw9PH944C/WPyzzWKuTJljVvNkmiyDz5VpcsxwngR41Pj+w4BrgWcsGvPvgTeP758P/P74/mnjz+HhwCnjz2fdcuSax9ua2IKqqo8C9x5iyHnAO2rkGuD4JE8Angt8oKruraovAx8Ajuo3tg+Xpao+MX4vgGuATUfzfkea4xDOAHZV1e6qegC4ktHnN6ssFwBXHM37HSLHF6rq0+P7XwVuAU5cNGzwuTJNjhnOk2k+k4NZtrlyBDmGnCdVVV8bP3zY+Lb4aLLzgLeP778LeHaSjJdfWVV/X1W3AbsYfU46AmuioKZwInDnxOM942UHWz4rL2H0v/X9Cnh/kk8l2TqD9/+n490Y703y5PGyFftMknwno5X+uycWD/KZjHfJnM7of8eTZjpXDpFj0kzmyWGyzGyuHO4zmcU8SbIuyfXA3Yz+Y3LQeVJV+4D7gMex8uuUNWX9SgeYkSyxrA6xfHBJnsVoxfODE4ufWVV3Jfku4ANJ/ny89TGETwPfXVVfS3IO8MfAqazgZ8Jot83Hq2pya2vZP5Mkj2K0cvuPVfWVxU8v8VcGmSuHybF/zEzmyWGyzGyuTPOZMIN5UlUPAk9LcjzwR0meUlWT36G2W6esRfOyBbUHOGni8SbgrkMsH1SSpwJvAc6rqi/tX15Vd43/vBv4IwbcNVBVX9m/G6OqdgAPS7KBFfpMxs5n0W6b5f5MkjyM0Qrw96rqD5cYMpO5MkWOmc2Tw2WZ1VyZ5jMZG3yeTLzu3wB/yoG7cx/62ZOsBx7DaDf2Sv77WXtW+kuw5boBJ3PwAwKex7d+8f3J8fITgNsYfen92PH9EwbOspnRfukfWLT8kcBxE/c/AWwZMMfj+eYvap8B3DH+fNYzOgDgFL75xfeTh/xMxs/v/wf+yKE+k/HP9w7gNw4xZvC5MmWOmcyTKbMMPlemyTHDebIROH58/zuAjwE/umjMy/nWgySuGt9/Mt96kMRuPEjiiG9rYhdfkisYHWm0Icke4JcZfbFJVb0Z2MHo6KxdwNeBnxo/d2+SVwPXjV/q0vrW3QZDZLmE0b7qN42+U2Vfjc6I/A8Y7UqA0T/8y6vqfQPmeD7w75LsA+4Hzq/Rv7B9SV4BXM3oKK23VtVNR5pjyiwA/wp4f1X97cRfXdbPBHgm8G+Az46/XwD4RUZlMMu5Mk2OmcyTKbPMYq5MkwNmM0+eALw9yTpGe5muqqr3JLkU2FlV24HfBd6ZZBejwjx/nPOmJFcBNwP7gJfXaHehjoCnOpIktTQv30FJklYZC0qS1JIFJUlqyYKSJLVkQUmSWrKgtGaNz3a9/8zXfzA+Rc7Bxr4qyc/PMp+kQ7OgtJbdX1VPq6qnAA8AL1vpQJKmZ0FpXnwMeCJAkp/M6DpLNyR55+KBSV6a5Lrx8+/ev+WV5AXjrbEbknx0vOzJ42sHXT9+zVNn+lNJa5i/qKs1K8nXqupR43OlvRt4H/BR4A8ZnVx0b5ITxmeJeBXwtar6H0keV+Nz3yX5b8BfV9VvJvkso1Po/FWS46vqb5L8JnBNVf1ekmMZndbm/hX5gaU1xi0orWXfMT5tzk5G54/7XeBHgHdV1V4YncJoib/3lCQfGxfSRYzOrwbwceBtSV7K6NQ+AH8G/GKS/8zojN+Wk7RM1sS5+KSDuL+qnja5YHxRucPtNngb8C+r6oYkL2Z0HkGq6mVJzmR0Qtnrkzytqi5Pcu142dVJ/m1VfWiZfw5pLrkFpXnzQeCFSR4HkOSEJcYcB3xhfPmHi/YvTPK9VXVtVV0C7AVOSvI9wO6qeiOwHXjq4D+BNCfcgtJcGZ9t+jXAR5I8CHwGePGiYf+V0dVcPw98llFhAbx+fBBEGBXdDcDFwE8k+QbwReDSwX8IaU54kIQkqSV38UmSWrKgJEktWVCSpJYsKElSSxaUJKklC0qS1JIFJUlq6f8DwHh7L1NFU1cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "logmodel=LogisticRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp=data['Age'].fillna(0.0)\n",
    "data['Age'].fillna(temp.mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ae074f00f0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.isnull(),yticklabels=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330877</td>\n",
       "      <td>8.4583</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>male</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Master. Gosta Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
       "      <td>female</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>347742</td>\n",
       "      <td>11.1333</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
       "      <td>female</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>237736</td>\n",
       "      <td>30.0708</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
       "      <td>female</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Elizabeth</td>\n",
       "      <td>female</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113783</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Saundercock, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5. 2151</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Andersson, Mr. Anders Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>347082</td>\n",
       "      <td>31.2750</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
       "      <td>female</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350406</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n",
       "      <td>female</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248706</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Master. Eugene</td>\n",
       "      <td>male</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>382652</td>\n",
       "      <td>29.1250</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Williams, Mr. Charles Eugene</td>\n",
       "      <td>male</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>244373</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>female</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Masselmani, Mrs. Fatima</td>\n",
       "      <td>female</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2649</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Fynney, Mr. Joseph J</td>\n",
       "      <td>male</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239865</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Beesley, Mr. Lawrence</td>\n",
       "      <td>male</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248698</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>McGowan, Miss. Anna \"Annie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330923</td>\n",
       "      <td>8.0292</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sloper, Mr. William Thompson</td>\n",
       "      <td>male</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113788</td>\n",
       "      <td>35.5000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Miss. Torborg Danira</td>\n",
       "      <td>female</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>347077</td>\n",
       "      <td>31.3875</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Emir, Mr. Farred Chehab</td>\n",
       "      <td>male</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2631</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Mr. Charles Alexander</td>\n",
       "      <td>male</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Dwyer, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330959</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Todoroff, Mr. Lalio</td>\n",
       "      <td>male</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349216</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>862</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Giles, Mr. Frederick Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>28134</td>\n",
       "      <td>11.5000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>863</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n",
       "      <td>female</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17466</td>\n",
       "      <td>25.9292</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>864</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
       "      <td>female</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>865</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Gill, Mr. John William</td>\n",
       "      <td>male</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>233866</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>866</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Bystrom, Mrs. (Karolina)</td>\n",
       "      <td>female</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>236852</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>867</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Duran y More, Miss. Asuncion</td>\n",
       "      <td>female</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>SC/PARIS 2149</td>\n",
       "      <td>13.8583</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>868</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Roebling, Mr. Washington Augustus II</td>\n",
       "      <td>male</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17590</td>\n",
       "      <td>50.4958</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>869</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>van Melkebeke, Mr. Philemon</td>\n",
       "      <td>male</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345777</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>870</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Master. Harold Theodor</td>\n",
       "      <td>male</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>347742</td>\n",
       "      <td>11.1333</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>871</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Balkic, Mr. Cerin</td>\n",
       "      <td>male</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349248</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>872</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>873</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Carlsson, Mr. Frans Olof</td>\n",
       "      <td>male</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>695</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>874</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Cruyssen, Mr. Victor</td>\n",
       "      <td>male</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345765</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>875</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
       "      <td>female</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>P/PP 3381</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>876</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
       "      <td>female</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2667</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>877</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Gustafsson, Mr. Alfred Ossian</td>\n",
       "      <td>male</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7534</td>\n",
       "      <td>9.8458</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>878</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Petroff, Mr. Nedelio</td>\n",
       "      <td>male</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349212</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>879</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Laleff, Mr. Kristo</td>\n",
       "      <td>male</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349217</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>880</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
       "      <td>female</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11767</td>\n",
       "      <td>83.1583</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>881</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>230433</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>882</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Markun, Mr. Johann</td>\n",
       "      <td>male</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349257</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>883</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>female</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7552</td>\n",
       "      <td>10.5167</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>884</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Banfield, Mr. Frederick James</td>\n",
       "      <td>male</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A./SOTON 34068</td>\n",
       "      <td>10.5000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>885</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sutehall, Mr. Henry Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392076</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>886</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Mrs. William (Margaret Norton)</td>\n",
       "      <td>female</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>382652</td>\n",
       "      <td>29.1250</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>887</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Montvila, Rev. Juozas</td>\n",
       "      <td>male</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>211536</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>888</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Graham, Miss. Margaret Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112053</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>W./C. 6607</td>\n",
       "      <td>23.4500</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>890</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111369</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>891</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dooley, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370376</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>891 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass  \\\n",
       "0              1         0       3   \n",
       "1              2         1       1   \n",
       "2              3         1       3   \n",
       "3              4         1       1   \n",
       "4              5         0       3   \n",
       "5              6         0       3   \n",
       "6              7         0       1   \n",
       "7              8         0       3   \n",
       "8              9         1       3   \n",
       "9             10         1       2   \n",
       "10            11         1       3   \n",
       "11            12         1       1   \n",
       "12            13         0       3   \n",
       "13            14         0       3   \n",
       "14            15         0       3   \n",
       "15            16         1       2   \n",
       "16            17         0       3   \n",
       "17            18         1       2   \n",
       "18            19         0       3   \n",
       "19            20         1       3   \n",
       "20            21         0       2   \n",
       "21            22         1       2   \n",
       "22            23         1       3   \n",
       "23            24         1       1   \n",
       "24            25         0       3   \n",
       "25            26         1       3   \n",
       "26            27         0       3   \n",
       "27            28         0       1   \n",
       "28            29         1       3   \n",
       "29            30         0       3   \n",
       "..           ...       ...     ...   \n",
       "861          862         0       2   \n",
       "862          863         1       1   \n",
       "863          864         0       3   \n",
       "864          865         0       2   \n",
       "865          866         1       2   \n",
       "866          867         1       2   \n",
       "867          868         0       1   \n",
       "868          869         0       3   \n",
       "869          870         1       3   \n",
       "870          871         0       3   \n",
       "871          872         1       1   \n",
       "872          873         0       1   \n",
       "873          874         0       3   \n",
       "874          875         1       2   \n",
       "875          876         1       3   \n",
       "876          877         0       3   \n",
       "877          878         0       3   \n",
       "878          879         0       3   \n",
       "879          880         1       1   \n",
       "880          881         1       2   \n",
       "881          882         0       3   \n",
       "882          883         0       3   \n",
       "883          884         0       2   \n",
       "884          885         0       3   \n",
       "885          886         0       3   \n",
       "886          887         0       2   \n",
       "887          888         1       1   \n",
       "888          889         0       3   \n",
       "889          890         1       1   \n",
       "890          891         0       3   \n",
       "\n",
       "                                                  Name     Sex        Age  \\\n",
       "0                              Braund, Mr. Owen Harris    male  22.000000   \n",
       "1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.000000   \n",
       "2                               Heikkinen, Miss. Laina  female  26.000000   \n",
       "3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.000000   \n",
       "4                             Allen, Mr. William Henry    male  35.000000   \n",
       "5                                     Moran, Mr. James    male  23.799293   \n",
       "6                              McCarthy, Mr. Timothy J    male  54.000000   \n",
       "7                       Palsson, Master. Gosta Leonard    male   2.000000   \n",
       "8    Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)  female  27.000000   \n",
       "9                  Nasser, Mrs. Nicholas (Adele Achem)  female  14.000000   \n",
       "10                     Sandstrom, Miss. Marguerite Rut  female   4.000000   \n",
       "11                            Bonnell, Miss. Elizabeth  female  58.000000   \n",
       "12                      Saundercock, Mr. William Henry    male  20.000000   \n",
       "13                         Andersson, Mr. Anders Johan    male  39.000000   \n",
       "14                Vestrom, Miss. Hulda Amanda Adolfina  female  14.000000   \n",
       "15                    Hewlett, Mrs. (Mary D Kingcome)   female  55.000000   \n",
       "16                                Rice, Master. Eugene    male   2.000000   \n",
       "17                        Williams, Mr. Charles Eugene    male  23.799293   \n",
       "18   Vander Planke, Mrs. Julius (Emelia Maria Vande...  female  31.000000   \n",
       "19                             Masselmani, Mrs. Fatima  female  23.799293   \n",
       "20                                Fynney, Mr. Joseph J    male  35.000000   \n",
       "21                               Beesley, Mr. Lawrence    male  34.000000   \n",
       "22                         McGowan, Miss. Anna \"Annie\"  female  15.000000   \n",
       "23                        Sloper, Mr. William Thompson    male  28.000000   \n",
       "24                       Palsson, Miss. Torborg Danira  female   8.000000   \n",
       "25   Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...  female  38.000000   \n",
       "26                             Emir, Mr. Farred Chehab    male  23.799293   \n",
       "27                      Fortune, Mr. Charles Alexander    male  19.000000   \n",
       "28                       O'Dwyer, Miss. Ellen \"Nellie\"  female  23.799293   \n",
       "29                                 Todoroff, Mr. Lalio    male  23.799293   \n",
       "..                                                 ...     ...        ...   \n",
       "861                        Giles, Mr. Frederick Edward    male  21.000000   \n",
       "862  Swift, Mrs. Frederick Joel (Margaret Welles Ba...  female  48.000000   \n",
       "863                  Sage, Miss. Dorothy Edith \"Dolly\"  female  23.799293   \n",
       "864                             Gill, Mr. John William    male  24.000000   \n",
       "865                           Bystrom, Mrs. (Karolina)  female  42.000000   \n",
       "866                       Duran y More, Miss. Asuncion  female  27.000000   \n",
       "867               Roebling, Mr. Washington Augustus II    male  31.000000   \n",
       "868                        van Melkebeke, Mr. Philemon    male  23.799293   \n",
       "869                    Johnson, Master. Harold Theodor    male   4.000000   \n",
       "870                                  Balkic, Mr. Cerin    male  26.000000   \n",
       "871   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  female  47.000000   \n",
       "872                           Carlsson, Mr. Frans Olof    male  33.000000   \n",
       "873                        Vander Cruyssen, Mr. Victor    male  47.000000   \n",
       "874              Abelson, Mrs. Samuel (Hannah Wizosky)  female  28.000000   \n",
       "875                   Najib, Miss. Adele Kiamie \"Jane\"  female  15.000000   \n",
       "876                      Gustafsson, Mr. Alfred Ossian    male  20.000000   \n",
       "877                               Petroff, Mr. Nedelio    male  19.000000   \n",
       "878                                 Laleff, Mr. Kristo    male  23.799293   \n",
       "879      Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)  female  56.000000   \n",
       "880       Shelley, Mrs. William (Imanita Parrish Hall)  female  25.000000   \n",
       "881                                 Markun, Mr. Johann    male  33.000000   \n",
       "882                       Dahlberg, Miss. Gerda Ulrika  female  22.000000   \n",
       "883                      Banfield, Mr. Frederick James    male  28.000000   \n",
       "884                             Sutehall, Mr. Henry Jr    male  25.000000   \n",
       "885               Rice, Mrs. William (Margaret Norton)  female  39.000000   \n",
       "886                              Montvila, Rev. Juozas    male  27.000000   \n",
       "887                       Graham, Miss. Margaret Edith  female  19.000000   \n",
       "888           Johnston, Miss. Catherine Helen \"Carrie\"  female  23.799293   \n",
       "889                              Behr, Mr. Karl Howell    male  26.000000   \n",
       "890                                Dooley, Mr. Patrick    male  32.000000   \n",
       "\n",
       "     SibSp  Parch            Ticket      Fare Embarked  \n",
       "0        1      0         A/5 21171    7.2500        S  \n",
       "1        1      0          PC 17599   71.2833        C  \n",
       "2        0      0  STON/O2. 3101282    7.9250        S  \n",
       "3        1      0            113803   53.1000        S  \n",
       "4        0      0            373450    8.0500        S  \n",
       "5        0      0            330877    8.4583        Q  \n",
       "6        0      0             17463   51.8625        S  \n",
       "7        3      1            349909   21.0750        S  \n",
       "8        0      2            347742   11.1333        S  \n",
       "9        1      0            237736   30.0708        C  \n",
       "10       1      1           PP 9549   16.7000        S  \n",
       "11       0      0            113783   26.5500        S  \n",
       "12       0      0         A/5. 2151    8.0500        S  \n",
       "13       1      5            347082   31.2750        S  \n",
       "14       0      0            350406    7.8542        S  \n",
       "15       0      0            248706   16.0000        S  \n",
       "16       4      1            382652   29.1250        Q  \n",
       "17       0      0            244373   13.0000        S  \n",
       "18       1      0            345763   18.0000        S  \n",
       "19       0      0              2649    7.2250        C  \n",
       "20       0      0            239865   26.0000        S  \n",
       "21       0      0            248698   13.0000        S  \n",
       "22       0      0            330923    8.0292        Q  \n",
       "23       0      0            113788   35.5000        S  \n",
       "24       3      1            349909   21.0750        S  \n",
       "25       1      5            347077   31.3875        S  \n",
       "26       0      0              2631    7.2250        C  \n",
       "27       3      2             19950  263.0000        S  \n",
       "28       0      0            330959    7.8792        Q  \n",
       "29       0      0            349216    7.8958        S  \n",
       "..     ...    ...               ...       ...      ...  \n",
       "861      1      0             28134   11.5000        S  \n",
       "862      0      0             17466   25.9292        S  \n",
       "863      8      2          CA. 2343   69.5500        S  \n",
       "864      0      0            233866   13.0000        S  \n",
       "865      0      0            236852   13.0000        S  \n",
       "866      1      0     SC/PARIS 2149   13.8583        C  \n",
       "867      0      0          PC 17590   50.4958        S  \n",
       "868      0      0            345777    9.5000        S  \n",
       "869      1      1            347742   11.1333        S  \n",
       "870      0      0            349248    7.8958        S  \n",
       "871      1      1             11751   52.5542        S  \n",
       "872      0      0               695    5.0000        S  \n",
       "873      0      0            345765    9.0000        S  \n",
       "874      1      0         P/PP 3381   24.0000        C  \n",
       "875      0      0              2667    7.2250        C  \n",
       "876      0      0              7534    9.8458        S  \n",
       "877      0      0            349212    7.8958        S  \n",
       "878      0      0            349217    7.8958        S  \n",
       "879      0      1             11767   83.1583        C  \n",
       "880      0      1            230433   26.0000        S  \n",
       "881      0      0            349257    7.8958        S  \n",
       "882      0      0              7552   10.5167        S  \n",
       "883      0      0  C.A./SOTON 34068   10.5000        S  \n",
       "884      0      0   SOTON/OQ 392076    7.0500        S  \n",
       "885      0      5            382652   29.1250        Q  \n",
       "886      0      0            211536   13.0000        S  \n",
       "887      0      0            112053   30.0000        S  \n",
       "888      1      2        W./C. 6607   23.4500        S  \n",
       "889      0      0            111369   30.0000        C  \n",
       "890      0      0            370376    7.7500        Q  \n",
       "\n",
       "[891 rows x 11 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n",
       "       'Parch', 'Ticket', 'Fare', 'Embarked'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=final_data[['Pclass','Sex_male','Age','SibSp','Parch']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=final_data['Survived']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Sex_male</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>S</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Mr. James</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330877</td>\n",
       "      <td>8.4583</td>\n",
       "      <td>Q</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Master. Gosta Leonard</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>347742</td>\n",
       "      <td>11.1333</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>237736</td>\n",
       "      <td>30.0708</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
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       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Elizabeth</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113783</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
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       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Saundercock, Mr. William Henry</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5. 2151</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Andersson, Mr. Anders Johan</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>347082</td>\n",
       "      <td>31.2750</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350406</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248706</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Master. Eugene</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>382652</td>\n",
       "      <td>29.1250</td>\n",
       "      <td>Q</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Williams, Mr. Charles Eugene</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>244373</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Masselmani, Mrs. Fatima</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2649</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Fynney, Mr. Joseph J</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239865</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Beesley, Mr. Lawrence</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248698</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>McGowan, Miss. Anna \"Annie\"</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330923</td>\n",
       "      <td>8.0292</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sloper, Mr. William Thompson</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113788</td>\n",
       "      <td>35.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Miss. Torborg Danira</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>347077</td>\n",
       "      <td>31.3875</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Emir, Mr. Farred Chehab</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2631</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Mr. Charles Alexander</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
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       "    <tr>\n",
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       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Dwyer, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330959</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Todoroff, Mr. Lalio</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349216</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>862</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Giles, Mr. Frederick Edward</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>28134</td>\n",
       "      <td>11.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>863</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17466</td>\n",
       "      <td>25.9292</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>864</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>865</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Gill, Mr. John William</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>233866</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>866</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Bystrom, Mrs. (Karolina)</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>236852</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>867</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Duran y More, Miss. Asuncion</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>SC/PARIS 2149</td>\n",
       "      <td>13.8583</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>868</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Roebling, Mr. Washington Augustus II</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17590</td>\n",
       "      <td>50.4958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>869</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>van Melkebeke, Mr. Philemon</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345777</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>870</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Master. Harold Theodor</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>347742</td>\n",
       "      <td>11.1333</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>871</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Balkic, Mr. Cerin</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349248</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>872</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>873</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Carlsson, Mr. Frans Olof</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>695</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>874</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Cruyssen, Mr. Victor</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345765</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>875</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>P/PP 3381</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>876</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2667</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>877</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Gustafsson, Mr. Alfred Ossian</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7534</td>\n",
       "      <td>9.8458</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>878</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Petroff, Mr. Nedelio</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349212</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>879</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Laleff, Mr. Kristo</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349217</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>880</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11767</td>\n",
       "      <td>83.1583</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>881</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>230433</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>882</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Markun, Mr. Johann</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349257</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>883</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7552</td>\n",
       "      <td>10.5167</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>884</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Banfield, Mr. Frederick James</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A./SOTON 34068</td>\n",
       "      <td>10.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>885</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sutehall, Mr. Henry Jr</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392076</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>886</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Mrs. William (Margaret Norton)</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>382652</td>\n",
       "      <td>29.1250</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>887</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Montvila, Rev. Juozas</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>211536</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>888</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Graham, Miss. Margaret Edith</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112053</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>W./C. 6607</td>\n",
       "      <td>23.4500</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>890</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111369</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>891</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dooley, Mr. Patrick</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370376</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>Q</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>891 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass  \\\n",
       "0              1         0       3   \n",
       "1              2         1       1   \n",
       "2              3         1       3   \n",
       "3              4         1       1   \n",
       "4              5         0       3   \n",
       "5              6         0       3   \n",
       "6              7         0       1   \n",
       "7              8         0       3   \n",
       "8              9         1       3   \n",
       "9             10         1       2   \n",
       "10            11         1       3   \n",
       "11            12         1       1   \n",
       "12            13         0       3   \n",
       "13            14         0       3   \n",
       "14            15         0       3   \n",
       "15            16         1       2   \n",
       "16            17         0       3   \n",
       "17            18         1       2   \n",
       "18            19         0       3   \n",
       "19            20         1       3   \n",
       "20            21         0       2   \n",
       "21            22         1       2   \n",
       "22            23         1       3   \n",
       "23            24         1       1   \n",
       "24            25         0       3   \n",
       "25            26         1       3   \n",
       "26            27         0       3   \n",
       "27            28         0       1   \n",
       "28            29         1       3   \n",
       "29            30         0       3   \n",
       "..           ...       ...     ...   \n",
       "861          862         0       2   \n",
       "862          863         1       1   \n",
       "863          864         0       3   \n",
       "864          865         0       2   \n",
       "865          866         1       2   \n",
       "866          867         1       2   \n",
       "867          868         0       1   \n",
       "868          869         0       3   \n",
       "869          870         1       3   \n",
       "870          871         0       3   \n",
       "871          872         1       1   \n",
       "872          873         0       1   \n",
       "873          874         0       3   \n",
       "874          875         1       2   \n",
       "875          876         1       3   \n",
       "876          877         0       3   \n",
       "877          878         0       3   \n",
       "878          879         0       3   \n",
       "879          880         1       1   \n",
       "880          881         1       2   \n",
       "881          882         0       3   \n",
       "882          883         0       3   \n",
       "883          884         0       2   \n",
       "884          885         0       3   \n",
       "885          886         0       3   \n",
       "886          887         0       2   \n",
       "887          888         1       1   \n",
       "888          889         0       3   \n",
       "889          890         1       1   \n",
       "890          891         0       3   \n",
       "\n",
       "                                                  Name        Age  SibSp  \\\n",
       "0                              Braund, Mr. Owen Harris  22.000000      1   \n",
       "1    Cumings, Mrs. John Bradley (Florence Briggs Th...  38.000000      1   \n",
       "2                               Heikkinen, Miss. Laina  26.000000      0   \n",
       "3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  35.000000      1   \n",
       "4                             Allen, Mr. William Henry  35.000000      0   \n",
       "5                                     Moran, Mr. James  23.799293      0   \n",
       "6                              McCarthy, Mr. Timothy J  54.000000      0   \n",
       "7                       Palsson, Master. Gosta Leonard   2.000000      3   \n",
       "8    Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)  27.000000      0   \n",
       "9                  Nasser, Mrs. Nicholas (Adele Achem)  14.000000      1   \n",
       "10                     Sandstrom, Miss. Marguerite Rut   4.000000      1   \n",
       "11                            Bonnell, Miss. Elizabeth  58.000000      0   \n",
       "12                      Saundercock, Mr. William Henry  20.000000      0   \n",
       "13                         Andersson, Mr. Anders Johan  39.000000      1   \n",
       "14                Vestrom, Miss. Hulda Amanda Adolfina  14.000000      0   \n",
       "15                    Hewlett, Mrs. (Mary D Kingcome)   55.000000      0   \n",
       "16                                Rice, Master. Eugene   2.000000      4   \n",
       "17                        Williams, Mr. Charles Eugene  23.799293      0   \n",
       "18   Vander Planke, Mrs. Julius (Emelia Maria Vande...  31.000000      1   \n",
       "19                             Masselmani, Mrs. Fatima  23.799293      0   \n",
       "20                                Fynney, Mr. Joseph J  35.000000      0   \n",
       "21                               Beesley, Mr. Lawrence  34.000000      0   \n",
       "22                         McGowan, Miss. Anna \"Annie\"  15.000000      0   \n",
       "23                        Sloper, Mr. William Thompson  28.000000      0   \n",
       "24                       Palsson, Miss. Torborg Danira   8.000000      3   \n",
       "25   Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...  38.000000      1   \n",
       "26                             Emir, Mr. Farred Chehab  23.799293      0   \n",
       "27                      Fortune, Mr. Charles Alexander  19.000000      3   \n",
       "28                       O'Dwyer, Miss. Ellen \"Nellie\"  23.799293      0   \n",
       "29                                 Todoroff, Mr. Lalio  23.799293      0   \n",
       "..                                                 ...        ...    ...   \n",
       "861                        Giles, Mr. Frederick Edward  21.000000      1   \n",
       "862  Swift, Mrs. Frederick Joel (Margaret Welles Ba...  48.000000      0   \n",
       "863                  Sage, Miss. Dorothy Edith \"Dolly\"  23.799293      8   \n",
       "864                             Gill, Mr. John William  24.000000      0   \n",
       "865                           Bystrom, Mrs. (Karolina)  42.000000      0   \n",
       "866                       Duran y More, Miss. Asuncion  27.000000      1   \n",
       "867               Roebling, Mr. Washington Augustus II  31.000000      0   \n",
       "868                        van Melkebeke, Mr. Philemon  23.799293      0   \n",
       "869                    Johnson, Master. Harold Theodor   4.000000      1   \n",
       "870                                  Balkic, Mr. Cerin  26.000000      0   \n",
       "871   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  47.000000      1   \n",
       "872                           Carlsson, Mr. Frans Olof  33.000000      0   \n",
       "873                        Vander Cruyssen, Mr. Victor  47.000000      0   \n",
       "874              Abelson, Mrs. Samuel (Hannah Wizosky)  28.000000      1   \n",
       "875                   Najib, Miss. Adele Kiamie \"Jane\"  15.000000      0   \n",
       "876                      Gustafsson, Mr. Alfred Ossian  20.000000      0   \n",
       "877                               Petroff, Mr. Nedelio  19.000000      0   \n",
       "878                                 Laleff, Mr. Kristo  23.799293      0   \n",
       "879      Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)  56.000000      0   \n",
       "880       Shelley, Mrs. William (Imanita Parrish Hall)  25.000000      0   \n",
       "881                                 Markun, Mr. Johann  33.000000      0   \n",
       "882                       Dahlberg, Miss. Gerda Ulrika  22.000000      0   \n",
       "883                      Banfield, Mr. Frederick James  28.000000      0   \n",
       "884                             Sutehall, Mr. Henry Jr  25.000000      0   \n",
       "885               Rice, Mrs. William (Margaret Norton)  39.000000      0   \n",
       "886                              Montvila, Rev. Juozas  27.000000      0   \n",
       "887                       Graham, Miss. Margaret Edith  19.000000      0   \n",
       "888           Johnston, Miss. Catherine Helen \"Carrie\"  23.799293      1   \n",
       "889                              Behr, Mr. Karl Howell  26.000000      0   \n",
       "890                                Dooley, Mr. Patrick  32.000000      0   \n",
       "\n",
       "     Parch            Ticket      Fare Embarked  Sex_male  \n",
       "0        0         A/5 21171    7.2500        S         1  \n",
       "1        0          PC 17599   71.2833        C         0  \n",
       "2        0  STON/O2. 3101282    7.9250        S         0  \n",
       "3        0            113803   53.1000        S         0  \n",
       "4        0            373450    8.0500        S         1  \n",
       "5        0            330877    8.4583        Q         1  \n",
       "6        0             17463   51.8625        S         1  \n",
       "7        1            349909   21.0750        S         1  \n",
       "8        2            347742   11.1333        S         0  \n",
       "9        0            237736   30.0708        C         0  \n",
       "10       1           PP 9549   16.7000        S         0  \n",
       "11       0            113783   26.5500        S         0  \n",
       "12       0         A/5. 2151    8.0500        S         1  \n",
       "13       5            347082   31.2750        S         1  \n",
       "14       0            350406    7.8542        S         0  \n",
       "15       0            248706   16.0000        S         0  \n",
       "16       1            382652   29.1250        Q         1  \n",
       "17       0            244373   13.0000        S         1  \n",
       "18       0            345763   18.0000        S         0  \n",
       "19       0              2649    7.2250        C         0  \n",
       "20       0            239865   26.0000        S         1  \n",
       "21       0            248698   13.0000        S         1  \n",
       "22       0            330923    8.0292        Q         0  \n",
       "23       0            113788   35.5000        S         1  \n",
       "24       1            349909   21.0750        S         0  \n",
       "25       5            347077   31.3875        S         0  \n",
       "26       0              2631    7.2250        C         1  \n",
       "27       2             19950  263.0000        S         1  \n",
       "28       0            330959    7.8792        Q         0  \n",
       "29       0            349216    7.8958        S         1  \n",
       "..     ...               ...       ...      ...       ...  \n",
       "861      0             28134   11.5000        S         1  \n",
       "862      0             17466   25.9292        S         0  \n",
       "863      2          CA. 2343   69.5500        S         0  \n",
       "864      0            233866   13.0000        S         1  \n",
       "865      0            236852   13.0000        S         0  \n",
       "866      0     SC/PARIS 2149   13.8583        C         0  \n",
       "867      0          PC 17590   50.4958        S         1  \n",
       "868      0            345777    9.5000        S         1  \n",
       "869      1            347742   11.1333        S         1  \n",
       "870      0            349248    7.8958        S         1  \n",
       "871      1             11751   52.5542        S         0  \n",
       "872      0               695    5.0000        S         1  \n",
       "873      0            345765    9.0000        S         1  \n",
       "874      0         P/PP 3381   24.0000        C         0  \n",
       "875      0              2667    7.2250        C         0  \n",
       "876      0              7534    9.8458        S         1  \n",
       "877      0            349212    7.8958        S         1  \n",
       "878      0            349217    7.8958        S         1  \n",
       "879      1             11767   83.1583        C         0  \n",
       "880      1            230433   26.0000        S         0  \n",
       "881      0            349257    7.8958        S         1  \n",
       "882      0              7552   10.5167        S         0  \n",
       "883      0  C.A./SOTON 34068   10.5000        S         1  \n",
       "884      0   SOTON/OQ 392076    7.0500        S         1  \n",
       "885      5            382652   29.1250        Q         0  \n",
       "886      0            211536   13.0000        S         1  \n",
       "887      0            112053   30.0000        S         0  \n",
       "888      2        W./C. 6607   23.4500        S         0  \n",
       "889      0            111369   30.0000        C         1  \n",
       "890      0            370376    7.7500        Q         1  \n",
       "\n",
       "[891 rows x 11 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data=pd.get_dummies(data,columns=['Sex'],drop_first=True)   \n",
    "final_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
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       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>22.000000</td>\n",
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       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
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       "      <td>PC 17599</td>\n",
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       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>26.000000</td>\n",
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       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
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       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
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       "      <td>0</td>\n",
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       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
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       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Mr. James</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330877</td>\n",
       "      <td>8.4583</td>\n",
       "      <td>Q</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Master. Gosta Leonard</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>347742</td>\n",
       "      <td>11.1333</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>237736</td>\n",
       "      <td>30.0708</td>\n",
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       "      <td>11</td>\n",
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       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
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       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Elizabeth</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113783</td>\n",
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       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Saundercock, Mr. William Henry</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5. 2151</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
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       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Andersson, Mr. Anders Johan</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>347082</td>\n",
       "      <td>31.2750</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350406</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248706</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>S</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Master. Eugene</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>382652</td>\n",
       "      <td>29.1250</td>\n",
       "      <td>Q</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Williams, Mr. Charles Eugene</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>244373</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Masselmani, Mrs. Fatima</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2649</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Fynney, Mr. Joseph J</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239865</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Beesley, Mr. Lawrence</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248698</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>McGowan, Miss. Anna \"Annie\"</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330923</td>\n",
       "      <td>8.0292</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sloper, Mr. William Thompson</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113788</td>\n",
       "      <td>35.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Miss. Torborg Danira</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>347077</td>\n",
       "      <td>31.3875</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Emir, Mr. Farred Chehab</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2631</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Mr. Charles Alexander</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Dwyer, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330959</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Todoroff, Mr. Lalio</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349216</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>862</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Giles, Mr. Frederick Edward</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>28134</td>\n",
       "      <td>11.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>863</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17466</td>\n",
       "      <td>25.9292</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>864</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>865</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Gill, Mr. John William</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>233866</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>866</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Bystrom, Mrs. (Karolina)</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>236852</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>867</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Duran y More, Miss. Asuncion</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>SC/PARIS 2149</td>\n",
       "      <td>13.8583</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>868</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Roebling, Mr. Washington Augustus II</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17590</td>\n",
       "      <td>50.4958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>869</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>van Melkebeke, Mr. Philemon</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345777</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>870</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Master. Harold Theodor</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>347742</td>\n",
       "      <td>11.1333</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>871</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Balkic, Mr. Cerin</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349248</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>872</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>873</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Carlsson, Mr. Frans Olof</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>695</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>874</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Cruyssen, Mr. Victor</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345765</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>875</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>P/PP 3381</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>876</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2667</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>877</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Gustafsson, Mr. Alfred Ossian</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7534</td>\n",
       "      <td>9.8458</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>878</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Petroff, Mr. Nedelio</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349212</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>879</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Laleff, Mr. Kristo</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349217</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>880</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11767</td>\n",
       "      <td>83.1583</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>881</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>230433</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>882</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Markun, Mr. Johann</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349257</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>883</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7552</td>\n",
       "      <td>10.5167</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>884</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Banfield, Mr. Frederick James</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A./SOTON 34068</td>\n",
       "      <td>10.5000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>885</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sutehall, Mr. Henry Jr</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392076</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>886</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Mrs. William (Margaret Norton)</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>382652</td>\n",
       "      <td>29.1250</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>887</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Montvila, Rev. Juozas</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>211536</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>888</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Graham, Miss. Margaret Edith</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112053</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>23.799293</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>W./C. 6607</td>\n",
       "      <td>23.4500</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>890</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111369</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>891</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dooley, Mr. Patrick</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370376</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>Q</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>891 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass  \\\n",
       "0              1         0       3   \n",
       "1              2         1       1   \n",
       "2              3         1       3   \n",
       "3              4         1       1   \n",
       "4              5         0       3   \n",
       "5              6         0       3   \n",
       "6              7         0       1   \n",
       "7              8         0       3   \n",
       "8              9         1       3   \n",
       "9             10         1       2   \n",
       "10            11         1       3   \n",
       "11            12         1       1   \n",
       "12            13         0       3   \n",
       "13            14         0       3   \n",
       "14            15         0       3   \n",
       "15            16         1       2   \n",
       "16            17         0       3   \n",
       "17            18         1       2   \n",
       "18            19         0       3   \n",
       "19            20         1       3   \n",
       "20            21         0       2   \n",
       "21            22         1       2   \n",
       "22            23         1       3   \n",
       "23            24         1       1   \n",
       "24            25         0       3   \n",
       "25            26         1       3   \n",
       "26            27         0       3   \n",
       "27            28         0       1   \n",
       "28            29         1       3   \n",
       "29            30         0       3   \n",
       "..           ...       ...     ...   \n",
       "861          862         0       2   \n",
       "862          863         1       1   \n",
       "863          864         0       3   \n",
       "864          865         0       2   \n",
       "865          866         1       2   \n",
       "866          867         1       2   \n",
       "867          868         0       1   \n",
       "868          869         0       3   \n",
       "869          870         1       3   \n",
       "870          871         0       3   \n",
       "871          872         1       1   \n",
       "872          873         0       1   \n",
       "873          874         0       3   \n",
       "874          875         1       2   \n",
       "875          876         1       3   \n",
       "876          877         0       3   \n",
       "877          878         0       3   \n",
       "878          879         0       3   \n",
       "879          880         1       1   \n",
       "880          881         1       2   \n",
       "881          882         0       3   \n",
       "882          883         0       3   \n",
       "883          884         0       2   \n",
       "884          885         0       3   \n",
       "885          886         0       3   \n",
       "886          887         0       2   \n",
       "887          888         1       1   \n",
       "888          889         0       3   \n",
       "889          890         1       1   \n",
       "890          891         0       3   \n",
       "\n",
       "                                                  Name        Age  SibSp  \\\n",
       "0                              Braund, Mr. Owen Harris  22.000000      1   \n",
       "1    Cumings, Mrs. John Bradley (Florence Briggs Th...  38.000000      1   \n",
       "2                               Heikkinen, Miss. Laina  26.000000      0   \n",
       "3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  35.000000      1   \n",
       "4                             Allen, Mr. William Henry  35.000000      0   \n",
       "5                                     Moran, Mr. James  23.799293      0   \n",
       "6                              McCarthy, Mr. Timothy J  54.000000      0   \n",
       "7                       Palsson, Master. Gosta Leonard   2.000000      3   \n",
       "8    Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)  27.000000      0   \n",
       "9                  Nasser, Mrs. Nicholas (Adele Achem)  14.000000      1   \n",
       "10                     Sandstrom, Miss. Marguerite Rut   4.000000      1   \n",
       "11                            Bonnell, Miss. Elizabeth  58.000000      0   \n",
       "12                      Saundercock, Mr. William Henry  20.000000      0   \n",
       "13                         Andersson, Mr. Anders Johan  39.000000      1   \n",
       "14                Vestrom, Miss. Hulda Amanda Adolfina  14.000000      0   \n",
       "15                    Hewlett, Mrs. (Mary D Kingcome)   55.000000      0   \n",
       "16                                Rice, Master. Eugene   2.000000      4   \n",
       "17                        Williams, Mr. Charles Eugene  23.799293      0   \n",
       "18   Vander Planke, Mrs. Julius (Emelia Maria Vande...  31.000000      1   \n",
       "19                             Masselmani, Mrs. Fatima  23.799293      0   \n",
       "20                                Fynney, Mr. Joseph J  35.000000      0   \n",
       "21                               Beesley, Mr. Lawrence  34.000000      0   \n",
       "22                         McGowan, Miss. Anna \"Annie\"  15.000000      0   \n",
       "23                        Sloper, Mr. William Thompson  28.000000      0   \n",
       "24                       Palsson, Miss. Torborg Danira   8.000000      3   \n",
       "25   Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...  38.000000      1   \n",
       "26                             Emir, Mr. Farred Chehab  23.799293      0   \n",
       "27                      Fortune, Mr. Charles Alexander  19.000000      3   \n",
       "28                       O'Dwyer, Miss. Ellen \"Nellie\"  23.799293      0   \n",
       "29                                 Todoroff, Mr. Lalio  23.799293      0   \n",
       "..                                                 ...        ...    ...   \n",
       "861                        Giles, Mr. Frederick Edward  21.000000      1   \n",
       "862  Swift, Mrs. Frederick Joel (Margaret Welles Ba...  48.000000      0   \n",
       "863                  Sage, Miss. Dorothy Edith \"Dolly\"  23.799293      8   \n",
       "864                             Gill, Mr. John William  24.000000      0   \n",
       "865                           Bystrom, Mrs. (Karolina)  42.000000      0   \n",
       "866                       Duran y More, Miss. Asuncion  27.000000      1   \n",
       "867               Roebling, Mr. Washington Augustus II  31.000000      0   \n",
       "868                        van Melkebeke, Mr. Philemon  23.799293      0   \n",
       "869                    Johnson, Master. Harold Theodor   4.000000      1   \n",
       "870                                  Balkic, Mr. Cerin  26.000000      0   \n",
       "871   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  47.000000      1   \n",
       "872                           Carlsson, Mr. Frans Olof  33.000000      0   \n",
       "873                        Vander Cruyssen, Mr. Victor  47.000000      0   \n",
       "874              Abelson, Mrs. Samuel (Hannah Wizosky)  28.000000      1   \n",
       "875                   Najib, Miss. Adele Kiamie \"Jane\"  15.000000      0   \n",
       "876                      Gustafsson, Mr. Alfred Ossian  20.000000      0   \n",
       "877                               Petroff, Mr. Nedelio  19.000000      0   \n",
       "878                                 Laleff, Mr. Kristo  23.799293      0   \n",
       "879      Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)  56.000000      0   \n",
       "880       Shelley, Mrs. William (Imanita Parrish Hall)  25.000000      0   \n",
       "881                                 Markun, Mr. Johann  33.000000      0   \n",
       "882                       Dahlberg, Miss. Gerda Ulrika  22.000000      0   \n",
       "883                      Banfield, Mr. Frederick James  28.000000      0   \n",
       "884                             Sutehall, Mr. Henry Jr  25.000000      0   \n",
       "885               Rice, Mrs. William (Margaret Norton)  39.000000      0   \n",
       "886                              Montvila, Rev. Juozas  27.000000      0   \n",
       "887                       Graham, Miss. Margaret Edith  19.000000      0   \n",
       "888           Johnston, Miss. Catherine Helen \"Carrie\"  23.799293      1   \n",
       "889                              Behr, Mr. Karl Howell  26.000000      0   \n",
       "890                                Dooley, Mr. Patrick  32.000000      0   \n",
       "\n",
       "     Parch            Ticket      Fare Embarked  Sex_male  \n",
       "0        0         A/5 21171    7.2500        S         1  \n",
       "1        0          PC 17599   71.2833        C         0  \n",
       "2        0  STON/O2. 3101282    7.9250        S         0  \n",
       "3        0            113803   53.1000        S         0  \n",
       "4        0            373450    8.0500        S         1  \n",
       "5        0            330877    8.4583        Q         1  \n",
       "6        0             17463   51.8625        S         1  \n",
       "7        1            349909   21.0750        S         1  \n",
       "8        2            347742   11.1333        S         0  \n",
       "9        0            237736   30.0708        C         0  \n",
       "10       1           PP 9549   16.7000        S         0  \n",
       "11       0            113783   26.5500        S         0  \n",
       "12       0         A/5. 2151    8.0500        S         1  \n",
       "13       5            347082   31.2750        S         1  \n",
       "14       0            350406    7.8542        S         0  \n",
       "15       0            248706   16.0000        S         0  \n",
       "16       1            382652   29.1250        Q         1  \n",
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       "19       0              2649    7.2250        C         0  \n",
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       "22       0            330923    8.0292        Q         0  \n",
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       "24       1            349909   21.0750        S         0  \n",
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       "26       0              2631    7.2250        C         1  \n",
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       "28       0            330959    7.8792        Q         0  \n",
       "29       0            349216    7.8958        S         1  \n",
       "..     ...               ...       ...      ...       ...  \n",
       "861      0             28134   11.5000        S         1  \n",
       "862      0             17466   25.9292        S         0  \n",
       "863      2          CA. 2343   69.5500        S         0  \n",
       "864      0            233866   13.0000        S         1  \n",
       "865      0            236852   13.0000        S         0  \n",
       "866      0     SC/PARIS 2149   13.8583        C         0  \n",
       "867      0          PC 17590   50.4958        S         1  \n",
       "868      0            345777    9.5000        S         1  \n",
       "869      1            347742   11.1333        S         1  \n",
       "870      0            349248    7.8958        S         1  \n",
       "871      1             11751   52.5542        S         0  \n",
       "872      0               695    5.0000        S         1  \n",
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       "874      0         P/PP 3381   24.0000        C         0  \n",
       "875      0              2667    7.2250        C         0  \n",
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       "882      0              7552   10.5167        S         0  \n",
       "883      0  C.A./SOTON 34068   10.5000        S         1  \n",
       "884      0   SOTON/OQ 392076    7.0500        S         1  \n",
       "885      5            382652   29.1250        Q         0  \n",
       "886      0            211536   13.0000        S         1  \n",
       "887      0            112053   30.0000        S         0  \n",
       "888      2        W./C. 6607   23.4500        S         0  \n",
       "889      0            111369   30.0000        C         1  \n",
       "890      0            370376    7.7500        Q         1  \n",
       "\n",
       "[891 rows x 11 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\hriti\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='warn',\n",
       "          n_jobs=None, penalty='l2', random_state=None, solver='warn',\n",
       "          tol=0.0001, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logmodel.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred=logmodel.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix,classification_report\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.80      0.89      0.85       157\n",
      "           1       0.82      0.69      0.75       111\n",
      "\n",
      "   micro avg       0.81      0.81      0.81       268\n",
      "   macro avg       0.81      0.79      0.80       268\n",
      "weighted avg       0.81      0.81      0.81       268\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[140  17]\n",
      " [ 34  77]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(y_test,pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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