Mean Ordinal Encoding.ipynb

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       "{'A': 0.4666666666666667,\n",
       " 'B': 0.7446808510638298,\n",
       " 'C': 0.5932203389830508,\n",
       " 'D': 0.7575757575757576,\n",
       " 'E': 0.75,\n",
       " 'F': 0.6153846153846154,\n",
       " 'G': 0.5,\n",
       " 'M': 0.29985443959243085,\n",
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     "execution_count": 5,
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   "source": [
    "mean_ordinal=dataset.groupby(['Cabin'])['Survived'].mean().to_dict()\n",
    "mean_ordinal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Survived</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Cabin_mean_ordinal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>M</td>\n",
       "      <td>0.299854</td>\n",
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       "      <td>C</td>\n",
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      "text/plain": [
       "   Survived Cabin  Cabin_mean_ordinal\n",
       "0         0     M            0.299854\n",
       "1         1     C            0.593220\n",
       "2         1     M            0.299854\n",
       "3         1     C            0.593220\n",
       "4         0     M            0.299854"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "dataset['Cabin_mean_ordinal']=dataset['Cabin'].map(mean_ordinal)\n",
    "dataset.head()"
   ]
  },
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   "execution_count": null,
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