gas-sensor.ipynb

{
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/gas-sensor-data-set-1/ethylene_CO.txt\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9b209db4",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "eth_co = pd.read_csv(\"/kaggle/input/gas-sensor-data-set-1/ethylene_CO.txt\", delim_whitespace=True, skiprows=[0,0], header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6deedfe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:36.172995Z",
     "iopub.status.busy": "2022-03-08T12:17:36.172345Z",
     "iopub.status.idle": "2022-03-08T12:17:36.175015Z",
     "shell.execute_reply": "2022-03-08T12:17:36.175517Z",
     "shell.execute_reply.started": "2022-03-07T00:08:59.842014Z"
    },
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     "exception": false,
     "start_time": "2022-03-08T12:17:36.123201",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4208261 entries, 0 to 4208260\n",
      "Columns: 19 entries, 0 to 18\n",
      "dtypes: float64(19)\n",
      "memory usage: 610.0 MB\n"
     ]
    }
   ],
   "source": [
    "eth_co.info(verbose=False, memory_usage='deep')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5a42a782",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:36.501152Z",
     "iopub.status.busy": "2022-03-08T12:17:36.500424Z",
     "iopub.status.idle": "2022-03-08T12:17:38.739597Z",
     "shell.execute_reply": "2022-03-08T12:17:38.738961Z",
     "shell.execute_reply.started": "2022-03-07T00:08:59.873366Z"
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "      <td>4.208261e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.104459e+04</td>\n",
       "      <td>1.276202e+02</td>\n",
       "      <td>5.320436e+00</td>\n",
       "      <td>2.065617e+03</td>\n",
       "      <td>5.062184e+02</td>\n",
       "      <td>4.372539e+03</td>\n",
       "      <td>4.799250e+03</td>\n",
       "      <td>1.894957e+03</td>\n",
       "      <td>2.214692e+03</td>\n",
       "      <td>5.086639e+03</td>\n",
       "      <td>5.385428e+03</td>\n",
       "      <td>1.186241e+03</td>\n",
       "      <td>1.219252e+03</td>\n",
       "      <td>4.871079e+03</td>\n",
       "      <td>3.926250e+03</td>\n",
       "      <td>9.281877e+02</td>\n",
       "      <td>1.035772e+03</td>\n",
       "      <td>5.289323e+03</td>\n",
       "      <td>4.309685e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.214998e+04</td>\n",
       "      <td>1.607772e+02</td>\n",
       "      <td>5.624127e+00</td>\n",
       "      <td>7.902609e+02</td>\n",
       "      <td>1.530128e+03</td>\n",
       "      <td>1.608018e+03</td>\n",
       "      <td>1.733017e+03</td>\n",
       "      <td>4.395373e+02</td>\n",
       "      <td>4.353987e+02</td>\n",
       "      <td>1.966451e+03</td>\n",
       "      <td>2.072383e+03</td>\n",
       "      <td>4.531719e+02</td>\n",
       "      <td>4.308765e+02</td>\n",
       "      <td>1.707681e+03</td>\n",
       "      <td>1.364496e+03</td>\n",
       "      <td>1.677561e+02</td>\n",
       "      <td>1.741085e+02</td>\n",
       "      <td>1.984057e+03</td>\n",
       "      <td>1.584038e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-5.262000e+01</td>\n",
       "      <td>-3.649000e+01</td>\n",
       "      <td>-4.504000e+01</td>\n",
       "      <td>-8.940000e+00</td>\n",
       "      <td>-1.219000e+01</td>\n",
       "      <td>-4.214000e+01</td>\n",
       "      <td>-2.322000e+01</td>\n",
       "      <td>-1.382000e+01</td>\n",
       "      <td>1.597400e+02</td>\n",
       "      <td>2.153100e+02</td>\n",
       "      <td>8.622200e+02</td>\n",
       "      <td>8.654900e+02</td>\n",
       "      <td>6.095700e+02</td>\n",
       "      <td>6.738900e+02</td>\n",
       "      <td>5.467300e+02</td>\n",
       "      <td>4.885800e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.052123e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.323470e+03</td>\n",
       "      <td>9.120000e+00</td>\n",
       "      <td>2.986960e+03</td>\n",
       "      <td>3.282310e+03</td>\n",
       "      <td>1.503460e+03</td>\n",
       "      <td>1.856650e+03</td>\n",
       "      <td>3.241950e+03</td>\n",
       "      <td>3.448620e+03</td>\n",
       "      <td>9.343300e+02</td>\n",
       "      <td>9.419200e+02</td>\n",
       "      <td>3.435680e+03</td>\n",
       "      <td>2.728930e+03</td>\n",
       "      <td>8.083400e+02</td>\n",
       "      <td>9.102500e+02</td>\n",
       "      <td>3.642120e+03</td>\n",
       "      <td>2.805070e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.104591e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.670000e+00</td>\n",
       "      <td>1.789090e+03</td>\n",
       "      <td>3.889000e+01</td>\n",
       "      <td>4.494330e+03</td>\n",
       "      <td>4.946720e+03</td>\n",
       "      <td>1.984550e+03</td>\n",
       "      <td>2.272780e+03</td>\n",
       "      <td>5.224880e+03</td>\n",
       "      <td>5.537910e+03</td>\n",
       "      <td>1.140320e+03</td>\n",
       "      <td>1.176600e+03</td>\n",
       "      <td>5.016130e+03</td>\n",
       "      <td>4.120240e+03</td>\n",
       "      <td>9.298600e+02</td>\n",
       "      <td>1.060700e+03</td>\n",
       "      <td>5.320550e+03</td>\n",
       "      <td>4.543040e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.156678e+04</td>\n",
       "      <td>2.666700e+02</td>\n",
       "      <td>1.000000e+01</td>\n",
       "      <td>2.869440e+03</td>\n",
       "      <td>1.589000e+02</td>\n",
       "      <td>5.658290e+03</td>\n",
       "      <td>6.178210e+03</td>\n",
       "      <td>2.262740e+03</td>\n",
       "      <td>2.566470e+03</td>\n",
       "      <td>6.719280e+03</td>\n",
       "      <td>7.104200e+03</td>\n",
       "      <td>1.543660e+03</td>\n",
       "      <td>1.557780e+03</td>\n",
       "      <td>6.126830e+03</td>\n",
       "      <td>4.967480e+03</td>\n",
       "      <td>1.033490e+03</td>\n",
       "      <td>1.161370e+03</td>\n",
       "      <td>6.739320e+03</td>\n",
       "      <td>5.565070e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.208755e+04</td>\n",
       "      <td>5.333300e+02</td>\n",
       "      <td>2.000000e+01</td>\n",
       "      <td>3.553640e+03</td>\n",
       "      <td>2.811651e+04</td>\n",
       "      <td>8.641340e+03</td>\n",
       "      <td>9.221020e+03</td>\n",
       "      <td>2.904040e+03</td>\n",
       "      <td>3.502110e+03</td>\n",
       "      <td>9.883500e+03</td>\n",
       "      <td>1.052104e+04</td>\n",
       "      <td>5.513995e+04</td>\n",
       "      <td>5.066950e+04</td>\n",
       "      <td>9.626260e+03</td>\n",
       "      <td>9.762620e+03</td>\n",
       "      <td>2.454402e+04</td>\n",
       "      <td>2.142068e+04</td>\n",
       "      <td>1.066530e+04</td>\n",
       "      <td>7.874490e+03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 0             1             2             3             4   \\\n",
       "count  4.208261e+06  4.208261e+06  4.208261e+06  4.208261e+06  4.208261e+06   \n",
       "mean   2.104459e+04  1.276202e+02  5.320436e+00  2.065617e+03  5.062184e+02   \n",
       "std    1.214998e+04  1.607772e+02  5.624127e+00  7.902609e+02  1.530128e+03   \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00 -5.262000e+01 -3.649000e+01   \n",
       "25%    1.052123e+04  0.000000e+00  0.000000e+00  1.323470e+03  9.120000e+00   \n",
       "50%    2.104591e+04  0.000000e+00  6.670000e+00  1.789090e+03  3.889000e+01   \n",
       "75%    3.156678e+04  2.666700e+02  1.000000e+01  2.869440e+03  1.589000e+02   \n",
       "max    4.208755e+04  5.333300e+02  2.000000e+01  3.553640e+03  2.811651e+04   \n",
       "\n",
       "                 5             6             7             8             9   \\\n",
       "count  4.208261e+06  4.208261e+06  4.208261e+06  4.208261e+06  4.208261e+06   \n",
       "mean   4.372539e+03  4.799250e+03  1.894957e+03  2.214692e+03  5.086639e+03   \n",
       "std    1.608018e+03  1.733017e+03  4.395373e+02  4.353987e+02  1.966451e+03   \n",
       "min   -4.504000e+01 -8.940000e+00 -1.219000e+01 -4.214000e+01 -2.322000e+01   \n",
       "25%    2.986960e+03  3.282310e+03  1.503460e+03  1.856650e+03  3.241950e+03   \n",
       "50%    4.494330e+03  4.946720e+03  1.984550e+03  2.272780e+03  5.224880e+03   \n",
       "75%    5.658290e+03  6.178210e+03  2.262740e+03  2.566470e+03  6.719280e+03   \n",
       "max    8.641340e+03  9.221020e+03  2.904040e+03  3.502110e+03  9.883500e+03   \n",
       "\n",
       "                 10            11            12            13            14  \\\n",
       "count  4.208261e+06  4.208261e+06  4.208261e+06  4.208261e+06  4.208261e+06   \n",
       "mean   5.385428e+03  1.186241e+03  1.219252e+03  4.871079e+03  3.926250e+03   \n",
       "std    2.072383e+03  4.531719e+02  4.308765e+02  1.707681e+03  1.364496e+03   \n",
       "min   -1.382000e+01  1.597400e+02  2.153100e+02  8.622200e+02  8.654900e+02   \n",
       "25%    3.448620e+03  9.343300e+02  9.419200e+02  3.435680e+03  2.728930e+03   \n",
       "50%    5.537910e+03  1.140320e+03  1.176600e+03  5.016130e+03  4.120240e+03   \n",
       "75%    7.104200e+03  1.543660e+03  1.557780e+03  6.126830e+03  4.967480e+03   \n",
       "max    1.052104e+04  5.513995e+04  5.066950e+04  9.626260e+03  9.762620e+03   \n",
       "\n",
       "                 15            16            17            18  \n",
       "count  4.208261e+06  4.208261e+06  4.208261e+06  4.208261e+06  \n",
       "mean   9.281877e+02  1.035772e+03  5.289323e+03  4.309685e+03  \n",
       "std    1.677561e+02  1.741085e+02  1.984057e+03  1.584038e+03  \n",
       "min    6.095700e+02  6.738900e+02  5.467300e+02  4.885800e+02  \n",
       "25%    8.083400e+02  9.102500e+02  3.642120e+03  2.805070e+03  \n",
       "50%    9.298600e+02  1.060700e+03  5.320550e+03  4.543040e+03  \n",
       "75%    1.033490e+03  1.161370e+03  6.739320e+03  5.565070e+03  \n",
       "max    2.454402e+04  2.142068e+04  1.066530e+04  7.874490e+03  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eth_co.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "abd81c0c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:38.796075Z",
     "iopub.status.busy": "2022-03-08T12:17:38.795483Z",
     "iopub.status.idle": "2022-03-08T12:17:38.951531Z",
     "shell.execute_reply": "2022-03-08T12:17:38.950937Z",
     "shell.execute_reply.started": "2022-03-07T00:09:01.975343Z"
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     "duration": 0.186193,
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     "start_time": "2022-03-08T12:17:38.765482",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "eth_co = eth_co.astype(np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0e4547d9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:39.010326Z",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4208261, 19)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
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   ],
   "source": [
    "eth_co.shape"
   ]
  },
  {
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   "execution_count": 7,
   "id": "145c9405",
   "metadata": {
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    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: catboost in /opt/conda/lib/python3.7/site-packages (1.0.4)\r\n",
      "Requirement already satisfied: six in /opt/conda/lib/python3.7/site-packages (from catboost) (1.16.0)\r\n",
      "Requirement already satisfied: graphviz in /opt/conda/lib/python3.7/site-packages (from catboost) (0.8.4)\r\n",
      "Requirement already satisfied: plotly in /opt/conda/lib/python3.7/site-packages (from catboost) (5.6.0)\r\n",
      "Requirement already satisfied: scipy in /opt/conda/lib/python3.7/site-packages (from catboost) (1.7.3)\r\n",
      "Requirement already satisfied: pandas>=0.24.0 in /opt/conda/lib/python3.7/site-packages (from catboost) (1.3.5)\r\n",
      "Requirement already satisfied: numpy>=1.16.0 in /opt/conda/lib/python3.7/site-packages (from catboost) (1.20.3)\r\n",
      "Requirement already satisfied: matplotlib in /opt/conda/lib/python3.7/site-packages (from catboost) (3.5.1)\r\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/lib/python3.7/site-packages (from pandas>=0.24.0->catboost) (2.8.2)\r\n",
      "Requirement already satisfied: pytz>=2017.3 in /opt/conda/lib/python3.7/site-packages (from pandas>=0.24.0->catboost) (2021.3)\r\n",
      "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.7/site-packages (from matplotlib->catboost) (8.2.0)\r\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.7/site-packages (from matplotlib->catboost) (1.3.2)\r\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.7/site-packages (from matplotlib->catboost) (0.11.0)\r\n",
      "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.7/site-packages (from matplotlib->catboost) (21.3)\r\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.7/site-packages (from matplotlib->catboost) (4.28.4)\r\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in /opt/conda/lib/python3.7/site-packages (from matplotlib->catboost) (3.0.6)\r\n",
      "Requirement already satisfied: tenacity>=6.2.0 in /opt/conda/lib/python3.7/site-packages (from plotly->catboost) (8.0.1)\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\r\n"
     ]
    }
   ],
   "source": [
    "!pip install catboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "458797c5",
   "metadata": {
    "execution": {
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   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type='text/css'>\n",
       ".datatable table.frame { margin-bottom: 0; }\n",
       ".datatable table.frame thead { border-bottom: none; }\n",
       ".datatable table.frame tr.coltypes td {  color: #FFFFFF;  line-height: 6px;  padding: 0 0.5em;}\n",
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       ".datatable .frame tr.coltypes .row_index {  background: var(--jp-border-color0);}\n",
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       ".datatable .sp {  opacity: 0.25;}\n",
       ".datatable .footer { font-size: 9px; }\n",
       ".datatable .frame_dimensions {  background: var(--jp-border-color3);  border-top: 1px solid var(--jp-border-color0);  color: var(--jp-ui-font-color3);  display: inline-block;  opacity: 0.6;  padding: 1px 10px 1px 5px;}\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV\n",
    "from sklearn.svm import SVC, LinearSVR, SVR\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.multioutput import MultiOutputRegressor, MultiOutputClassifier\n",
    "from sklearn.multiclass import OneVsRestClassifier\n",
    "from sklearn.ensemble import BaggingRegressor, RandomForestRegressor, AdaBoostRegressor, StackingRegressor, VotingRegressor\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from lightgbm import LGBMRegressor\n",
    "from xgboost import XGBRegressor, XGBRFRegressor\n",
    "from catboost import CatBoostRegressor\n",
    "from sklearn.linear_model import SGDRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b49135b7",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
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   "outputs": [],
   "source": [
    "columns = [1,2]\n",
    "X = eth_co.drop(columns=columns)\n",
    "y = eth_co[columns[0]]\n",
    "z = eth_co[columns[1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5a2f4db7",
   "metadata": {
    "execution": {
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     "exception": false,
     "start_time": "2022-03-08T12:17:51.863701",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4208261, 17), (4208261,), (4208261,))"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape, y.shape, z.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2f90423b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:51.962776Z",
     "iopub.status.busy": "2022-03-08T12:17:51.962101Z",
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     "shell.execute_reply": "2022-03-08T12:17:53.230382Z",
     "shell.execute_reply.started": "2022-03-07T00:09:14.899019Z"
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "xtrain, xtest ,ytrain, ytest = train_test_split(X, y, test_size=0.2,  random_state=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "aef7e6fa",
   "metadata": {
    "execution": {
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    "tags": []
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "((3366608, 17), (3366608,), (841653, 17), (841653,))"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xtrain.shape, ytrain.shape, xtest.shape, ytest.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "08bc54af",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:53.357904Z",
     "iopub.status.busy": "2022-03-08T12:17:53.357308Z",
     "iopub.status.idle": "2022-03-08T12:17:53.367048Z",
     "shell.execute_reply": "2022-03-08T12:17:53.367600Z",
     "shell.execute_reply.started": "2022-03-07T00:09:16.739558Z"
    },
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     "exception": false,
     "start_time": "2022-03-08T12:17:53.326501",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "svr = SVR(epsilon=0.1)\n",
    "linreg = LinearRegression(n_jobs=-1)\n",
    "lsvc = LinearSVR()\n",
    "svr = SVR(kernel='linear')\n",
    "rfr = RandomForestRegressor(n_estimators=1000)\n",
    "knn = KNeighborsRegressor(n_neighbors=5)\n",
    "bgr = BaggingRegressor()\n",
    "sgd = SGDRegressor()\n",
    "xgbr = XGBRegressor(n_estimators=1000, learning_rate=0.01, verbosity=1, random_state=12)\n",
    "xgbrf = XGBRFRegressor()\n",
    "cat = CatBoostRegressor(iterations=1000, learning_rate=0.1, depth=None, eval_metric='RMSE', use_best_model=True)\n",
    "lgb = LGBMRegressor(n_estimators=4000, learning_rate=0.1, subsample=0.3, max_depth=-1, min_child_samples=30, colsample_bytree=1.0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "87eca112",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:53.429862Z",
     "iopub.status.busy": "2022-03-08T12:17:53.429262Z",
     "iopub.status.idle": "2022-03-08T12:17:53.431982Z",
     "shell.execute_reply": "2022-03-08T12:17:53.431515Z",
     "shell.execute_reply.started": "2022-03-07T00:09:16.755761Z"
    },
    "papermill": {
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     "exception": false,
     "start_time": "2022-03-08T12:17:53.396789",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#model = MultiOutputRegressor((lgb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "341eced4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:17:53.496472Z",
     "iopub.status.busy": "2022-03-08T12:17:53.495870Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model = lgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b6e09082",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/lightgbm/sklearn.py:726: UserWarning: 'early_stopping_rounds' argument is deprecated and will be removed in a future release of LightGBM. Pass 'early_stopping()' callback via 'callbacks' argument instead.\n",
      "  _log_warning(\"'early_stopping_rounds' argument is deprecated and will be removed in a future release of LightGBM. \"\n",
      "/opt/conda/lib/python3.7/site-packages/lightgbm/sklearn.py:736: UserWarning: 'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
      "  _log_warning(\"'verbose' argument is deprecated and will be removed in a future release of LightGBM. \"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1]\ttraining's l2: 22388.2\tvalid_0's l2: 22352.2\n",
      "[2]\ttraining's l2: 19542.7\tvalid_0's l2: 19513.9\n",
      "[3]\ttraining's l2: 17227.8\tvalid_0's l2: 17205.5\n",
      "[4]\ttraining's l2: 15281.8\tvalid_0's l2: 15263.8\n",
      "[5]\ttraining's l2: 13725.8\tvalid_0's l2: 13711.6\n",
      "[6]\ttraining's l2: 12438.6\tvalid_0's l2: 12429.1\n",
      "[7]\ttraining's l2: 11348.6\tvalid_0's l2: 11341.1\n",
      "[8]\ttraining's l2: 10432.2\tvalid_0's l2: 10426.2\n",
      "[9]\ttraining's l2: 9641.05\tvalid_0's l2: 9636.55\n",
      "[10]\ttraining's l2: 8995.59\tvalid_0's l2: 8992.4\n",
      "[11]\ttraining's l2: 8467.78\tvalid_0's l2: 8466.42\n",
      "[12]\ttraining's l2: 8015.86\tvalid_0's l2: 8016.37\n",
      "[13]\ttraining's l2: 7609.27\tvalid_0's l2: 7612.81\n",
      "[14]\ttraining's l2: 7251.22\tvalid_0's l2: 7256.66\n",
      "[15]\ttraining's l2: 6953\tvalid_0's l2: 6959.98\n",
      "[16]\ttraining's l2: 6718.67\tvalid_0's l2: 6726.45\n",
      "[17]\ttraining's l2: 6485.82\tvalid_0's l2: 6495.02\n",
      "[18]\ttraining's l2: 6274.73\tvalid_0's l2: 6284.53\n",
      "[19]\ttraining's l2: 6085.18\tvalid_0's l2: 6096.22\n",
      "[20]\ttraining's l2: 5936.38\tvalid_0's l2: 5947.15\n",
      "[21]\ttraining's l2: 5786.94\tvalid_0's l2: 5798.21\n",
      "[22]\ttraining's l2: 5629.83\tvalid_0's l2: 5639.19\n",
      "[23]\ttraining's l2: 5474.84\tvalid_0's l2: 5486.68\n",
      "[24]\ttraining's l2: 5360.75\tvalid_0's l2: 5372.9\n",
      "[25]\ttraining's l2: 5256.24\tvalid_0's l2: 5268.21\n",
      "[26]\ttraining's l2: 5129.28\tvalid_0's l2: 5142.41\n",
      "[27]\ttraining's l2: 5030.68\tvalid_0's l2: 5044.93\n",
      "[28]\ttraining's l2: 4950.37\tvalid_0's l2: 4965.72\n",
      "[29]\ttraining's l2: 4846.52\tvalid_0's l2: 4863.13\n",
      "[30]\ttraining's l2: 4742.33\tvalid_0's l2: 4758.43\n",
      "[31]\ttraining's l2: 4674.45\tvalid_0's l2: 4690.21\n",
      "[32]\ttraining's l2: 4577.84\tvalid_0's l2: 4593.7\n",
      "[33]\ttraining's l2: 4514.97\tvalid_0's l2: 4530.06\n",
      "[34]\ttraining's l2: 4451.52\tvalid_0's l2: 4466.39\n",
      "[35]\ttraining's l2: 4374.19\tvalid_0's l2: 4388.73\n",
      "[36]\ttraining's l2: 4318.89\tvalid_0's l2: 4333.32\n",
      "[37]\ttraining's l2: 4269.83\tvalid_0's l2: 4284.66\n",
      "[38]\ttraining's l2: 4223.03\tvalid_0's l2: 4238.4\n",
      "[39]\ttraining's l2: 4144.26\tvalid_0's l2: 4159.26\n",
      "[40]\ttraining's l2: 4085.83\tvalid_0's l2: 4099.85\n",
      "[41]\ttraining's l2: 4031.47\tvalid_0's l2: 4045.46\n",
      "[42]\ttraining's l2: 3988.02\tvalid_0's l2: 4001.9\n",
      "[43]\ttraining's l2: 3944.67\tvalid_0's l2: 3959.13\n",
      "[44]\ttraining's l2: 3904.79\tvalid_0's l2: 3919.66\n",
      "[45]\ttraining's l2: 3849.75\tvalid_0's l2: 3865.31\n",
      "[46]\ttraining's l2: 3796.18\tvalid_0's l2: 3811.96\n",
      "[47]\ttraining's l2: 3750.13\tvalid_0's l2: 3766.48\n",
      "[48]\ttraining's l2: 3714.7\tvalid_0's l2: 3731.57\n",
      "[49]\ttraining's l2: 3672.1\tvalid_0's l2: 3689.4\n",
      "[50]\ttraining's l2: 3634.69\tvalid_0's l2: 3652.22\n",
      "[51]\ttraining's l2: 3607.07\tvalid_0's l2: 3625.5\n",
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      "[1328]\ttraining's l2: 506.906\tvalid_0's l2: 552.45\n",
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      "[1422]\ttraining's l2: 494.441\tvalid_0's l2: 541.948\n",
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      "[1500]\ttraining's l2: 485.2\tvalid_0's l2: 534.867\n",
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      "[1588]\ttraining's l2: 475.502\tvalid_0's l2: 527.909\n",
      "[1589]\ttraining's l2: 475.417\tvalid_0's l2: 527.825\n",
      "[1590]\ttraining's l2: 475.268\tvalid_0's l2: 527.675\n",
      "[1591]\ttraining's l2: 475.158\tvalid_0's l2: 527.594\n",
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      "[1599]\ttraining's l2: 474.439\tvalid_0's l2: 526.951\n",
      "[1600]\ttraining's l2: 474.314\tvalid_0's l2: 526.837\n",
      "[1601]\ttraining's l2: 474.198\tvalid_0's l2: 526.747\n",
      "[1602]\ttraining's l2: 474.087\tvalid_0's l2: 526.7\n",
      "[1603]\ttraining's l2: 473.936\tvalid_0's l2: 526.611\n",
      "[1604]\ttraining's l2: 473.802\tvalid_0's l2: 526.515\n",
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      "[1607]\ttraining's l2: 473.389\tvalid_0's l2: 526.138\n",
      "[1608]\ttraining's l2: 473.321\tvalid_0's l2: 526.108\n",
      "[1609]\ttraining's l2: 473.238\tvalid_0's l2: 526.087\n",
      "[1610]\ttraining's l2: 473.094\tvalid_0's l2: 525.984\n",
      "[1611]\ttraining's l2: 472.946\tvalid_0's l2: 525.848\n",
      "[1612]\ttraining's l2: 472.825\tvalid_0's l2: 525.708\n",
      "[1613]\ttraining's l2: 472.737\tvalid_0's l2: 525.626\n",
      "[1614]\ttraining's l2: 472.671\tvalid_0's l2: 525.575\n",
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      "[1616]\ttraining's l2: 472.308\tvalid_0's l2: 525.245\n",
      "[1617]\ttraining's l2: 472.21\tvalid_0's l2: 525.158\n",
      "[1618]\ttraining's l2: 472.029\tvalid_0's l2: 524.981\n",
      "[1619]\ttraining's l2: 471.949\tvalid_0's l2: 524.929\n",
      "[1620]\ttraining's l2: 471.792\tvalid_0's l2: 524.788\n",
      "[1621]\ttraining's l2: 471.652\tvalid_0's l2: 524.696\n",
      "[1622]\ttraining's l2: 471.492\tvalid_0's l2: 524.555\n",
      "[1623]\ttraining's l2: 471.428\tvalid_0's l2: 524.499\n",
      "[1624]\ttraining's l2: 471.376\tvalid_0's l2: 524.472\n",
      "[1625]\ttraining's l2: 471.185\tvalid_0's l2: 524.375\n",
      "[1626]\ttraining's l2: 471.042\tvalid_0's l2: 524.31\n",
      "[1627]\ttraining's l2: 470.976\tvalid_0's l2: 524.242\n",
      "[1628]\ttraining's l2: 470.844\tvalid_0's l2: 524.162\n",
      "[1629]\ttraining's l2: 470.706\tvalid_0's l2: 524.051\n",
      "[1630]\ttraining's l2: 470.564\tvalid_0's l2: 523.978\n",
      "[1631]\ttraining's l2: 470.455\tvalid_0's l2: 523.901\n",
      "[1632]\ttraining's l2: 470.361\tvalid_0's l2: 523.839\n",
      "[1633]\ttraining's l2: 470.233\tvalid_0's l2: 523.731\n",
      "[1634]\ttraining's l2: 470.146\tvalid_0's l2: 523.702\n",
      "[1635]\ttraining's l2: 469.965\tvalid_0's l2: 523.532\n",
      "[1636]\ttraining's l2: 469.817\tvalid_0's l2: 523.387\n",
      "[1637]\ttraining's l2: 469.701\tvalid_0's l2: 523.268\n",
      "[1638]\ttraining's l2: 469.581\tvalid_0's l2: 523.204\n",
      "[1639]\ttraining's l2: 469.467\tvalid_0's l2: 523.128\n",
      "[1640]\ttraining's l2: 469.371\tvalid_0's l2: 523.049\n",
      "[1641]\ttraining's l2: 469.261\tvalid_0's l2: 522.986\n",
      "[1642]\ttraining's l2: 469.15\tvalid_0's l2: 522.865\n",
      "[1643]\ttraining's l2: 469.092\tvalid_0's l2: 522.813\n",
      "[1644]\ttraining's l2: 468.955\tvalid_0's l2: 522.727\n",
      "[1645]\ttraining's l2: 468.865\tvalid_0's l2: 522.661\n",
      "[1646]\ttraining's l2: 468.755\tvalid_0's l2: 522.58\n",
      "[1647]\ttraining's l2: 468.645\tvalid_0's l2: 522.479\n",
      "[1648]\ttraining's l2: 468.528\tvalid_0's l2: 522.369\n",
      "[1649]\ttraining's l2: 468.43\tvalid_0's l2: 522.308\n",
      "[1650]\ttraining's l2: 468.329\tvalid_0's l2: 522.204\n",
      "[1651]\ttraining's l2: 468.249\tvalid_0's l2: 522.139\n",
      "[1652]\ttraining's l2: 468.103\tvalid_0's l2: 522.023\n",
      "[1653]\ttraining's l2: 467.97\tvalid_0's l2: 521.888\n",
      "[1654]\ttraining's l2: 467.887\tvalid_0's l2: 521.829\n",
      "[1655]\ttraining's l2: 467.739\tvalid_0's l2: 521.696\n",
      "[1656]\ttraining's l2: 467.698\tvalid_0's l2: 521.655\n",
      "[1657]\ttraining's l2: 467.639\tvalid_0's l2: 521.61\n",
      "[1658]\ttraining's l2: 467.588\tvalid_0's l2: 521.586\n",
      "[1659]\ttraining's l2: 467.471\tvalid_0's l2: 521.486\n",
      "[1660]\ttraining's l2: 467.391\tvalid_0's l2: 521.443\n",
      "[1661]\ttraining's l2: 467.312\tvalid_0's l2: 521.407\n",
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      "[1663]\ttraining's l2: 467.196\tvalid_0's l2: 521.358\n",
      "[1664]\ttraining's l2: 467.17\tvalid_0's l2: 521.335\n",
      "[1665]\ttraining's l2: 467.088\tvalid_0's l2: 521.332\n",
      "[1666]\ttraining's l2: 466.987\tvalid_0's l2: 521.263\n",
      "[1667]\ttraining's l2: 466.911\tvalid_0's l2: 521.165\n",
      "[1668]\ttraining's l2: 466.847\tvalid_0's l2: 521.155\n",
      "[1669]\ttraining's l2: 466.784\tvalid_0's l2: 521.108\n",
      "[1670]\ttraining's l2: 466.649\tvalid_0's l2: 521.001\n",
      "[1671]\ttraining's l2: 466.533\tvalid_0's l2: 520.93\n",
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      "[1684]\ttraining's l2: 465.2\tvalid_0's l2: 519.861\n",
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      "[1848]\ttraining's l2: 448.808\tvalid_0's l2: 507.877\n",
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      "[1962]\ttraining's l2: 439.6\tvalid_0's l2: 500.959\n",
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      "[1970]\ttraining's l2: 439.064\tvalid_0's l2: 500.586\n",
      "[1971]\ttraining's l2: 439.01\tvalid_0's l2: 500.554\n",
      "[1972]\ttraining's l2: 438.941\tvalid_0's l2: 500.484\n",
      "[1973]\ttraining's l2: 438.865\tvalid_0's l2: 500.439\n",
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      "[1984]\ttraining's l2: 437.872\tvalid_0's l2: 499.636\n",
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      "[1986]\ttraining's l2: 437.698\tvalid_0's l2: 499.504\n",
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      "[1989]\ttraining's l2: 437.363\tvalid_0's l2: 499.169\n",
      "[1990]\ttraining's l2: 437.226\tvalid_0's l2: 499.105\n",
      "[1991]\ttraining's l2: 437.085\tvalid_0's l2: 499.005\n",
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      "[1993]\ttraining's l2: 436.96\tvalid_0's l2: 498.905\n",
      "[1994]\ttraining's l2: 436.861\tvalid_0's l2: 498.869\n",
      "[1995]\ttraining's l2: 436.773\tvalid_0's l2: 498.824\n",
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      "[1997]\ttraining's l2: 436.618\tvalid_0's l2: 498.733\n",
      "[1998]\ttraining's l2: 436.538\tvalid_0's l2: 498.671\n",
      "[1999]\ttraining's l2: 436.492\tvalid_0's l2: 498.626\n",
      "[2000]\ttraining's l2: 436.466\tvalid_0's l2: 498.607\n",
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      "[2002]\ttraining's l2: 436.244\tvalid_0's l2: 498.524\n",
      "[2003]\ttraining's l2: 436.153\tvalid_0's l2: 498.465\n",
      "[2004]\ttraining's l2: 436.041\tvalid_0's l2: 498.37\n",
      "[2005]\ttraining's l2: 435.932\tvalid_0's l2: 498.302\n",
      "[2006]\ttraining's l2: 435.854\tvalid_0's l2: 498.248\n",
      "[2007]\ttraining's l2: 435.785\tvalid_0's l2: 498.184\n",
      "[2008]\ttraining's l2: 435.737\tvalid_0's l2: 498.159\n",
      "[2009]\ttraining's l2: 435.651\tvalid_0's l2: 498.137\n",
      "[2010]\ttraining's l2: 435.543\tvalid_0's l2: 498.11\n",
      "[2011]\ttraining's l2: 435.442\tvalid_0's l2: 498.04\n",
      "[2012]\ttraining's l2: 435.394\tvalid_0's l2: 498.025\n",
      "[2013]\ttraining's l2: 435.312\tvalid_0's l2: 498.003\n",
      "[2014]\ttraining's l2: 435.267\tvalid_0's l2: 497.972\n",
      "[2015]\ttraining's l2: 435.212\tvalid_0's l2: 497.929\n",
      "[2016]\ttraining's l2: 435.142\tvalid_0's l2: 497.894\n",
      "[2017]\ttraining's l2: 435.049\tvalid_0's l2: 497.8\n",
      "[2018]\ttraining's l2: 434.981\tvalid_0's l2: 497.76\n",
      "[2019]\ttraining's l2: 434.955\tvalid_0's l2: 497.734\n",
      "[2020]\ttraining's l2: 434.909\tvalid_0's l2: 497.694\n",
      "[2021]\ttraining's l2: 434.839\tvalid_0's l2: 497.633\n",
      "[2022]\ttraining's l2: 434.779\tvalid_0's l2: 497.58\n",
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      "[2032]\ttraining's l2: 433.947\tvalid_0's l2: 496.968\n",
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      "[2039]\ttraining's l2: 433.416\tvalid_0's l2: 496.53\n",
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      "[2042]\ttraining's l2: 433.2\tvalid_0's l2: 496.438\n",
      "[2043]\ttraining's l2: 433.14\tvalid_0's l2: 496.391\n",
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      "[2060]\ttraining's l2: 431.623\tvalid_0's l2: 495.522\n",
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      "[2069]\ttraining's l2: 430.804\tvalid_0's l2: 494.954\n",
      "[2070]\ttraining's l2: 430.768\tvalid_0's l2: 494.924\n",
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      "[2108]\ttraining's l2: 427.951\tvalid_0's l2: 493.158\n",
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      "[2110]\ttraining's l2: 427.802\tvalid_0's l2: 493.093\n",
      "[2111]\ttraining's l2: 427.732\tvalid_0's l2: 493.05\n",
      "[2112]\ttraining's l2: 427.683\tvalid_0's l2: 493.035\n",
      "[2113]\ttraining's l2: 427.616\tvalid_0's l2: 493.017\n",
      "[2114]\ttraining's l2: 427.498\tvalid_0's l2: 493.028\n",
      "[2115]\ttraining's l2: 427.423\tvalid_0's l2: 493.003\n",
      "[2116]\ttraining's l2: 427.388\tvalid_0's l2: 492.978\n",
      "[2117]\ttraining's l2: 427.331\tvalid_0's l2: 492.934\n",
      "[2118]\ttraining's l2: 427.252\tvalid_0's l2: 492.859\n",
      "[2119]\ttraining's l2: 427.172\tvalid_0's l2: 492.838\n",
      "[2120]\ttraining's l2: 427.12\tvalid_0's l2: 492.811\n",
      "[2121]\ttraining's l2: 427.048\tvalid_0's l2: 492.801\n",
      "[2122]\ttraining's l2: 426.969\tvalid_0's l2: 492.774\n",
      "[2123]\ttraining's l2: 426.909\tvalid_0's l2: 492.728\n",
      "[2124]\ttraining's l2: 426.844\tvalid_0's l2: 492.722\n",
      "[2125]\ttraining's l2: 426.776\tvalid_0's l2: 492.69\n",
      "[2126]\ttraining's l2: 426.716\tvalid_0's l2: 492.641\n",
      "[2127]\ttraining's l2: 426.653\tvalid_0's l2: 492.599\n",
      "[2128]\ttraining's l2: 426.607\tvalid_0's l2: 492.566\n",
      "[2129]\ttraining's l2: 426.558\tvalid_0's l2: 492.539\n",
      "[2130]\ttraining's l2: 426.523\tvalid_0's l2: 492.527\n",
      "[2131]\ttraining's l2: 426.423\tvalid_0's l2: 492.425\n",
      "[2132]\ttraining's l2: 426.384\tvalid_0's l2: 492.39\n",
      "[2133]\ttraining's l2: 426.305\tvalid_0's l2: 492.307\n",
      "[2134]\ttraining's l2: 426.214\tvalid_0's l2: 492.243\n",
      "[2135]\ttraining's l2: 426.074\tvalid_0's l2: 492.164\n",
      "[2136]\ttraining's l2: 425.999\tvalid_0's l2: 492.096\n",
      "[2137]\ttraining's l2: 425.929\tvalid_0's l2: 492.052\n",
      "[2138]\ttraining's l2: 425.801\tvalid_0's l2: 491.989\n",
      "[2139]\ttraining's l2: 425.692\tvalid_0's l2: 491.967\n",
      "[2140]\ttraining's l2: 425.57\tvalid_0's l2: 491.842\n",
      "[2141]\ttraining's l2: 425.549\tvalid_0's l2: 491.835\n",
      "[2142]\ttraining's l2: 425.494\tvalid_0's l2: 491.782\n",
      "[2143]\ttraining's l2: 425.417\tvalid_0's l2: 491.75\n",
      "[2144]\ttraining's l2: 425.337\tvalid_0's l2: 491.702\n",
      "[2145]\ttraining's l2: 425.292\tvalid_0's l2: 491.658\n",
      "[2146]\ttraining's l2: 425.234\tvalid_0's l2: 491.602\n",
      "[2147]\ttraining's l2: 425.155\tvalid_0's l2: 491.546\n",
      "[2148]\ttraining's l2: 425.072\tvalid_0's l2: 491.537\n",
      "[2149]\ttraining's l2: 425.033\tvalid_0's l2: 491.508\n",
      "[2150]\ttraining's l2: 424.966\tvalid_0's l2: 491.441\n",
      "[2151]\ttraining's l2: 424.897\tvalid_0's l2: 491.412\n",
      "[2152]\ttraining's l2: 424.803\tvalid_0's l2: 491.386\n",
      "[2153]\ttraining's l2: 424.758\tvalid_0's l2: 491.345\n",
      "[2154]\ttraining's l2: 424.613\tvalid_0's l2: 491.246\n",
      "[2155]\ttraining's l2: 424.533\tvalid_0's l2: 491.22\n",
      "[2156]\ttraining's l2: 424.458\tvalid_0's l2: 491.151\n",
      "[2157]\ttraining's l2: 424.403\tvalid_0's l2: 491.13\n",
      "[2158]\ttraining's l2: 424.347\tvalid_0's l2: 491.074\n",
      "[2159]\ttraining's l2: 424.289\tvalid_0's l2: 491.06\n",
      "[2160]\ttraining's l2: 424.218\tvalid_0's l2: 490.984\n",
      "[2161]\ttraining's l2: 424.172\tvalid_0's l2: 490.956\n",
      "[2162]\ttraining's l2: 424.093\tvalid_0's l2: 490.92\n",
      "[2163]\ttraining's l2: 423.964\tvalid_0's l2: 490.871\n",
      "[2164]\ttraining's l2: 423.915\tvalid_0's l2: 490.842\n",
      "[2165]\ttraining's l2: 423.83\tvalid_0's l2: 490.849\n",
      "[2166]\ttraining's l2: 423.79\tvalid_0's l2: 490.814\n",
      "[2167]\ttraining's l2: 423.712\tvalid_0's l2: 490.757\n",
      "[2168]\ttraining's l2: 423.659\tvalid_0's l2: 490.696\n",
      "[2169]\ttraining's l2: 423.553\tvalid_0's l2: 490.62\n",
      "[2170]\ttraining's l2: 423.46\tvalid_0's l2: 490.562\n",
      "[2171]\ttraining's l2: 423.411\tvalid_0's l2: 490.514\n",
      "[2172]\ttraining's l2: 423.348\tvalid_0's l2: 490.46\n",
      "[2173]\ttraining's l2: 423.291\tvalid_0's l2: 490.449\n",
      "[2174]\ttraining's l2: 423.24\tvalid_0's l2: 490.414\n",
      "[2175]\ttraining's l2: 423.127\tvalid_0's l2: 490.34\n",
      "[2176]\ttraining's l2: 423.053\tvalid_0's l2: 490.312\n",
      "[2177]\ttraining's l2: 422.993\tvalid_0's l2: 490.277\n",
      "[2178]\ttraining's l2: 422.919\tvalid_0's l2: 490.254\n",
      "[2179]\ttraining's l2: 422.823\tvalid_0's l2: 490.218\n",
      "[2180]\ttraining's l2: 422.757\tvalid_0's l2: 490.184\n",
      "[2181]\ttraining's l2: 422.726\tvalid_0's l2: 490.159\n",
      "[2182]\ttraining's l2: 422.655\tvalid_0's l2: 490.107\n",
      "[2183]\ttraining's l2: 422.586\tvalid_0's l2: 490.074\n",
      "[2184]\ttraining's l2: 422.493\tvalid_0's l2: 490.026\n",
      "[2185]\ttraining's l2: 422.404\tvalid_0's l2: 490.001\n",
      "[2186]\ttraining's l2: 422.286\tvalid_0's l2: 489.91\n",
      "[2187]\ttraining's l2: 422.222\tvalid_0's l2: 489.887\n",
      "[2188]\ttraining's l2: 422.187\tvalid_0's l2: 489.864\n",
      "[2189]\ttraining's l2: 422.13\tvalid_0's l2: 489.857\n",
      "[2190]\ttraining's l2: 422.064\tvalid_0's l2: 489.802\n",
      "[2191]\ttraining's l2: 421.998\tvalid_0's l2: 489.766\n",
      "[2192]\ttraining's l2: 421.923\tvalid_0's l2: 489.763\n",
      "[2193]\ttraining's l2: 421.833\tvalid_0's l2: 489.714\n",
      "[2194]\ttraining's l2: 421.797\tvalid_0's l2: 489.691\n",
      "[2195]\ttraining's l2: 421.751\tvalid_0's l2: 489.657\n",
      "[2196]\ttraining's l2: 421.675\tvalid_0's l2: 489.627\n",
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      "[2199]\ttraining's l2: 421.472\tvalid_0's l2: 489.467\n",
      "[2200]\ttraining's l2: 421.385\tvalid_0's l2: 489.4\n",
      "[2201]\ttraining's l2: 421.272\tvalid_0's l2: 489.316\n",
      "[2202]\ttraining's l2: 421.237\tvalid_0's l2: 489.29\n",
      "[2203]\ttraining's l2: 421.206\tvalid_0's l2: 489.26\n",
      "[2204]\ttraining's l2: 421.104\tvalid_0's l2: 489.217\n",
      "[2205]\ttraining's l2: 421.065\tvalid_0's l2: 489.196\n",
      "[2206]\ttraining's l2: 420.996\tvalid_0's l2: 489.132\n",
      "[2207]\ttraining's l2: 420.921\tvalid_0's l2: 489.087\n",
      "[2208]\ttraining's l2: 420.889\tvalid_0's l2: 489.083\n",
      "[2209]\ttraining's l2: 420.785\tvalid_0's l2: 489.013\n",
      "[2210]\ttraining's l2: 420.694\tvalid_0's l2: 488.945\n",
      "[2211]\ttraining's l2: 420.653\tvalid_0's l2: 488.922\n",
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      "[2213]\ttraining's l2: 420.575\tvalid_0's l2: 488.875\n",
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      "[2222]\ttraining's l2: 419.983\tvalid_0's l2: 488.498\n",
      "[2223]\ttraining's l2: 419.919\tvalid_0's l2: 488.416\n",
      "[2224]\ttraining's l2: 419.825\tvalid_0's l2: 488.351\n",
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      "[2227]\ttraining's l2: 419.643\tvalid_0's l2: 488.255\n",
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      "[2229]\ttraining's l2: 419.535\tvalid_0's l2: 488.235\n",
      "[2230]\ttraining's l2: 419.491\tvalid_0's l2: 488.205\n",
      "[2231]\ttraining's l2: 419.428\tvalid_0's l2: 488.151\n",
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      "[2240]\ttraining's l2: 418.879\tvalid_0's l2: 487.782\n",
      "[2241]\ttraining's l2: 418.841\tvalid_0's l2: 487.749\n",
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      "[2370]\ttraining's l2: 410.315\tvalid_0's l2: 482.276\n",
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      "[2377]\ttraining's l2: 409.823\tvalid_0's l2: 481.901\n",
      "[2378]\ttraining's l2: 409.743\tvalid_0's l2: 481.854\n",
      "[2379]\ttraining's l2: 409.69\tvalid_0's l2: 481.837\n",
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      "[2401]\ttraining's l2: 408.197\tvalid_0's l2: 480.875\n",
      "[2402]\ttraining's l2: 408.14\tvalid_0's l2: 480.835\n",
      "[2403]\ttraining's l2: 408.068\tvalid_0's l2: 480.792\n",
      "[2404]\ttraining's l2: 408.026\tvalid_0's l2: 480.773\n",
      "[2405]\ttraining's l2: 407.879\tvalid_0's l2: 480.7\n",
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      "[2407]\ttraining's l2: 407.686\tvalid_0's l2: 480.551\n",
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      "[2409]\ttraining's l2: 407.494\tvalid_0's l2: 480.48\n",
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      "[2411]\ttraining's l2: 407.395\tvalid_0's l2: 480.382\n",
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      "[2414]\ttraining's l2: 407.23\tvalid_0's l2: 480.263\n",
      "[2415]\ttraining's l2: 407.139\tvalid_0's l2: 480.182\n",
      "[2416]\ttraining's l2: 407.104\tvalid_0's l2: 480.164\n",
      "[2417]\ttraining's l2: 407.027\tvalid_0's l2: 480.113\n",
      "[2418]\ttraining's l2: 406.951\tvalid_0's l2: 480.071\n",
      "[2419]\ttraining's l2: 406.911\tvalid_0's l2: 480.045\n",
      "[2420]\ttraining's l2: 406.877\tvalid_0's l2: 480.015\n",
      "[2421]\ttraining's l2: 406.828\tvalid_0's l2: 479.966\n",
      "[2422]\ttraining's l2: 406.736\tvalid_0's l2: 479.907\n",
      "[2423]\ttraining's l2: 406.665\tvalid_0's l2: 479.905\n",
      "[2424]\ttraining's l2: 406.618\tvalid_0's l2: 479.857\n",
      "[2425]\ttraining's l2: 406.592\tvalid_0's l2: 479.852\n",
      "[2426]\ttraining's l2: 406.496\tvalid_0's l2: 479.783\n",
      "[2427]\ttraining's l2: 406.433\tvalid_0's l2: 479.733\n",
      "[2428]\ttraining's l2: 406.377\tvalid_0's l2: 479.68\n",
      "[2429]\ttraining's l2: 406.343\tvalid_0's l2: 479.647\n",
      "[2430]\ttraining's l2: 406.289\tvalid_0's l2: 479.628\n",
      "[2431]\ttraining's l2: 406.204\tvalid_0's l2: 479.573\n",
      "[2432]\ttraining's l2: 406.164\tvalid_0's l2: 479.555\n",
      "[2433]\ttraining's l2: 406.115\tvalid_0's l2: 479.51\n",
      "[2434]\ttraining's l2: 406.059\tvalid_0's l2: 479.479\n",
      "[2435]\ttraining's l2: 405.962\tvalid_0's l2: 479.399\n",
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      "[2437]\ttraining's l2: 405.85\tvalid_0's l2: 479.349\n",
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      "[2440]\ttraining's l2: 405.706\tvalid_0's l2: 479.225\n",
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      "[2450]\ttraining's l2: 405.155\tvalid_0's l2: 478.911\n",
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      "[2453]\ttraining's l2: 404.96\tvalid_0's l2: 478.816\n",
      "[2454]\ttraining's l2: 404.92\tvalid_0's l2: 478.793\n",
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      "[2458]\ttraining's l2: 404.755\tvalid_0's l2: 478.716\n",
      "[2459]\ttraining's l2: 404.708\tvalid_0's l2: 478.688\n",
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      "[2488]\ttraining's l2: 402.766\tvalid_0's l2: 477.409\n",
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      "[2500]\ttraining's l2: 402.193\tvalid_0's l2: 477.109\n",
      "[2501]\ttraining's l2: 402.121\tvalid_0's l2: 477.067\n",
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      "[2503]\ttraining's l2: 401.959\tvalid_0's l2: 476.979\n",
      "[2504]\ttraining's l2: 401.89\tvalid_0's l2: 476.926\n",
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      "[2509]\ttraining's l2: 401.622\tvalid_0's l2: 476.804\n",
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      "[2511]\ttraining's l2: 401.512\tvalid_0's l2: 476.741\n",
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      "[2514]\ttraining's l2: 401.32\tvalid_0's l2: 476.621\n",
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      "[2534]\ttraining's l2: 400.17\tvalid_0's l2: 475.993\n",
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      "[2627]\ttraining's l2: 395.378\tvalid_0's l2: 472.943\n",
      "[2628]\ttraining's l2: 395.311\tvalid_0's l2: 472.875\n",
      "[2629]\ttraining's l2: 395.249\tvalid_0's l2: 472.806\n",
      "[2630]\ttraining's l2: 395.224\tvalid_0's l2: 472.789\n",
      "[2631]\ttraining's l2: 395.182\tvalid_0's l2: 472.796\n",
      "[2632]\ttraining's l2: 395.133\tvalid_0's l2: 472.778\n",
      "[2633]\ttraining's l2: 395.107\tvalid_0's l2: 472.764\n",
      "[2634]\ttraining's l2: 395.032\tvalid_0's l2: 472.695\n",
      "[2635]\ttraining's l2: 395\tvalid_0's l2: 472.688\n",
      "[2636]\ttraining's l2: 394.93\tvalid_0's l2: 472.644\n",
      "[2637]\ttraining's l2: 394.844\tvalid_0's l2: 472.592\n",
      "[2638]\ttraining's l2: 394.777\tvalid_0's l2: 472.55\n",
      "[2639]\ttraining's l2: 394.732\tvalid_0's l2: 472.527\n",
      "[2640]\ttraining's l2: 394.707\tvalid_0's l2: 472.504\n",
      "[2641]\ttraining's l2: 394.641\tvalid_0's l2: 472.453\n",
      "[2642]\ttraining's l2: 394.6\tvalid_0's l2: 472.416\n",
      "[2643]\ttraining's l2: 394.564\tvalid_0's l2: 472.393\n",
      "[2644]\ttraining's l2: 394.502\tvalid_0's l2: 472.331\n",
      "[2645]\ttraining's l2: 394.458\tvalid_0's l2: 472.311\n",
      "[2646]\ttraining's l2: 394.409\tvalid_0's l2: 472.291\n",
      "[2647]\ttraining's l2: 394.361\tvalid_0's l2: 472.258\n",
      "[2648]\ttraining's l2: 394.295\tvalid_0's l2: 472.205\n",
      "[2649]\ttraining's l2: 394.25\tvalid_0's l2: 472.195\n",
      "[2650]\ttraining's l2: 394.213\tvalid_0's l2: 472.176\n",
      "[2651]\ttraining's l2: 394.168\tvalid_0's l2: 472.148\n",
      "[2652]\ttraining's l2: 394.129\tvalid_0's l2: 472.123\n",
      "[2653]\ttraining's l2: 394.085\tvalid_0's l2: 472.136\n",
      "[2654]\ttraining's l2: 394.044\tvalid_0's l2: 472.129\n",
      "[2655]\ttraining's l2: 394.022\tvalid_0's l2: 472.117\n",
      "[2656]\ttraining's l2: 393.976\tvalid_0's l2: 472.07\n",
      "[2657]\ttraining's l2: 393.957\tvalid_0's l2: 472.053\n",
      "[2658]\ttraining's l2: 393.864\tvalid_0's l2: 471.992\n",
      "[2659]\ttraining's l2: 393.816\tvalid_0's l2: 471.962\n",
      "[2660]\ttraining's l2: 393.771\tvalid_0's l2: 471.947\n",
      "[2661]\ttraining's l2: 393.728\tvalid_0's l2: 471.935\n",
      "[2662]\ttraining's l2: 393.647\tvalid_0's l2: 471.871\n",
      "[2663]\ttraining's l2: 393.613\tvalid_0's l2: 471.846\n",
      "[2664]\ttraining's l2: 393.552\tvalid_0's l2: 471.829\n",
      "[2665]\ttraining's l2: 393.469\tvalid_0's l2: 471.75\n",
      "[2666]\ttraining's l2: 393.423\tvalid_0's l2: 471.744\n",
      "[2667]\ttraining's l2: 393.364\tvalid_0's l2: 471.693\n",
      "[2668]\ttraining's l2: 393.314\tvalid_0's l2: 471.665\n",
      "[2669]\ttraining's l2: 393.281\tvalid_0's l2: 471.645\n",
      "[2670]\ttraining's l2: 393.233\tvalid_0's l2: 471.607\n",
      "[2671]\ttraining's l2: 393.176\tvalid_0's l2: 471.566\n",
      "[2672]\ttraining's l2: 393.13\tvalid_0's l2: 471.524\n",
      "[2673]\ttraining's l2: 393.054\tvalid_0's l2: 471.471\n",
      "[2674]\ttraining's l2: 393.01\tvalid_0's l2: 471.443\n",
      "[2675]\ttraining's l2: 392.926\tvalid_0's l2: 471.36\n",
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      "[2679]\ttraining's l2: 392.761\tvalid_0's l2: 471.3\n",
      "[2680]\ttraining's l2: 392.718\tvalid_0's l2: 471.26\n",
      "[2681]\ttraining's l2: 392.645\tvalid_0's l2: 471.219\n",
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      "[2683]\ttraining's l2: 392.574\tvalid_0's l2: 471.195\n",
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      "[2690]\ttraining's l2: 392.267\tvalid_0's l2: 470.999\n",
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      "[2692]\ttraining's l2: 392.146\tvalid_0's l2: 470.989\n",
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      "[2694]\ttraining's l2: 392.061\tvalid_0's l2: 470.971\n",
      "[2695]\ttraining's l2: 392.036\tvalid_0's l2: 470.97\n",
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      "[2698]\ttraining's l2: 391.865\tvalid_0's l2: 470.898\n",
      "[2699]\ttraining's l2: 391.809\tvalid_0's l2: 470.843\n",
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      "[2701]\ttraining's l2: 391.731\tvalid_0's l2: 470.804\n",
      "[2702]\ttraining's l2: 391.703\tvalid_0's l2: 470.778\n",
      "[2703]\ttraining's l2: 391.633\tvalid_0's l2: 470.71\n",
      "[2704]\ttraining's l2: 391.591\tvalid_0's l2: 470.667\n",
      "[2705]\ttraining's l2: 391.586\tvalid_0's l2: 470.662\n",
      "[2706]\ttraining's l2: 391.552\tvalid_0's l2: 470.641\n",
      "[2707]\ttraining's l2: 391.478\tvalid_0's l2: 470.576\n",
      "[2708]\ttraining's l2: 391.444\tvalid_0's l2: 470.556\n",
      "[2709]\ttraining's l2: 391.408\tvalid_0's l2: 470.544\n",
      "[2710]\ttraining's l2: 391.342\tvalid_0's l2: 470.486\n",
      "[2711]\ttraining's l2: 391.303\tvalid_0's l2: 470.454\n",
      "[2712]\ttraining's l2: 391.271\tvalid_0's l2: 470.44\n",
      "[2713]\ttraining's l2: 391.193\tvalid_0's l2: 470.354\n",
      "[2714]\ttraining's l2: 391.103\tvalid_0's l2: 470.323\n",
      "[2715]\ttraining's l2: 391.074\tvalid_0's l2: 470.297\n",
      "[2716]\ttraining's l2: 391.037\tvalid_0's l2: 470.262\n",
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      "[2718]\ttraining's l2: 390.917\tvalid_0's l2: 470.2\n",
      "[2719]\ttraining's l2: 390.853\tvalid_0's l2: 470.142\n",
      "[2720]\ttraining's l2: 390.794\tvalid_0's l2: 470.111\n",
      "[2721]\ttraining's l2: 390.74\tvalid_0's l2: 470.078\n",
      "[2722]\ttraining's l2: 390.712\tvalid_0's l2: 470.052\n",
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      "[2725]\ttraining's l2: 390.589\tvalid_0's l2: 470.011\n",
      "[2726]\ttraining's l2: 390.55\tvalid_0's l2: 469.984\n",
      "[2727]\ttraining's l2: 390.477\tvalid_0's l2: 469.938\n",
      "[2728]\ttraining's l2: 390.408\tvalid_0's l2: 469.912\n",
      "[2729]\ttraining's l2: 390.386\tvalid_0's l2: 469.904\n",
      "[2730]\ttraining's l2: 390.328\tvalid_0's l2: 469.911\n",
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      "[2732]\ttraining's l2: 390.215\tvalid_0's l2: 469.784\n",
      "[2733]\ttraining's l2: 390.191\tvalid_0's l2: 469.76\n",
      "[2734]\ttraining's l2: 390.134\tvalid_0's l2: 469.736\n",
      "[2735]\ttraining's l2: 390.079\tvalid_0's l2: 469.705\n",
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      "[2739]\ttraining's l2: 389.841\tvalid_0's l2: 469.571\n",
      "[2740]\ttraining's l2: 389.787\tvalid_0's l2: 469.539\n",
      "[2741]\ttraining's l2: 389.728\tvalid_0's l2: 469.516\n",
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      "[2744]\ttraining's l2: 389.573\tvalid_0's l2: 469.369\n",
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      "[2887]\ttraining's l2: 382.747\tvalid_0's l2: 465.248\n",
      "[2888]\ttraining's l2: 382.729\tvalid_0's l2: 465.236\n",
      "[2889]\ttraining's l2: 382.678\tvalid_0's l2: 465.182\n",
      "[2890]\ttraining's l2: 382.613\tvalid_0's l2: 465.146\n",
      "[2891]\ttraining's l2: 382.592\tvalid_0's l2: 465.131\n",
      "[2892]\ttraining's l2: 382.542\tvalid_0's l2: 465.089\n",
      "[2893]\ttraining's l2: 382.497\tvalid_0's l2: 465.065\n",
      "[2894]\ttraining's l2: 382.403\tvalid_0's l2: 465.025\n",
      "[2895]\ttraining's l2: 382.345\tvalid_0's l2: 465.01\n",
      "[2896]\ttraining's l2: 382.309\tvalid_0's l2: 464.985\n",
      "[2897]\ttraining's l2: 382.261\tvalid_0's l2: 464.942\n",
      "[2898]\ttraining's l2: 382.225\tvalid_0's l2: 464.926\n",
      "[2899]\ttraining's l2: 382.182\tvalid_0's l2: 464.906\n",
      "[2900]\ttraining's l2: 382.145\tvalid_0's l2: 464.881\n",
      "[2901]\ttraining's l2: 382.117\tvalid_0's l2: 464.857\n",
      "[2902]\ttraining's l2: 382.069\tvalid_0's l2: 464.827\n",
      "[2903]\ttraining's l2: 382.014\tvalid_0's l2: 464.796\n",
      "[2904]\ttraining's l2: 381.958\tvalid_0's l2: 464.752\n",
      "[2905]\ttraining's l2: 381.905\tvalid_0's l2: 464.7\n",
      "[2906]\ttraining's l2: 381.842\tvalid_0's l2: 464.674\n",
      "[2907]\ttraining's l2: 381.747\tvalid_0's l2: 464.689\n",
      "[2908]\ttraining's l2: 381.715\tvalid_0's l2: 464.66\n",
      "[2909]\ttraining's l2: 381.679\tvalid_0's l2: 464.651\n",
      "[2910]\ttraining's l2: 381.593\tvalid_0's l2: 464.602\n",
      "[2911]\ttraining's l2: 381.565\tvalid_0's l2: 464.582\n",
      "[2912]\ttraining's l2: 381.544\tvalid_0's l2: 464.575\n",
      "[2913]\ttraining's l2: 381.497\tvalid_0's l2: 464.535\n",
      "[2914]\ttraining's l2: 381.412\tvalid_0's l2: 464.485\n",
      "[2915]\ttraining's l2: 381.386\tvalid_0's l2: 464.461\n",
      "[2916]\ttraining's l2: 381.363\tvalid_0's l2: 464.442\n",
      "[2917]\ttraining's l2: 381.343\tvalid_0's l2: 464.435\n",
      "[2918]\ttraining's l2: 381.291\tvalid_0's l2: 464.409\n",
      "[2919]\ttraining's l2: 381.229\tvalid_0's l2: 464.359\n",
      "[2920]\ttraining's l2: 381.198\tvalid_0's l2: 464.358\n",
      "[2921]\ttraining's l2: 381.117\tvalid_0's l2: 464.294\n",
      "[2922]\ttraining's l2: 381.095\tvalid_0's l2: 464.276\n",
      "[2923]\ttraining's l2: 381.039\tvalid_0's l2: 464.22\n",
      "[2924]\ttraining's l2: 380.997\tvalid_0's l2: 464.19\n",
      "[2925]\ttraining's l2: 380.933\tvalid_0's l2: 464.116\n",
      "[2926]\ttraining's l2: 380.92\tvalid_0's l2: 464.104\n",
      "[2927]\ttraining's l2: 380.875\tvalid_0's l2: 464.09\n",
      "[2928]\ttraining's l2: 380.847\tvalid_0's l2: 464.084\n",
      "[2929]\ttraining's l2: 380.806\tvalid_0's l2: 464.044\n",
      "[2930]\ttraining's l2: 380.779\tvalid_0's l2: 464.032\n",
      "[2931]\ttraining's l2: 380.69\tvalid_0's l2: 464.006\n",
      "[2932]\ttraining's l2: 380.64\tvalid_0's l2: 463.967\n",
      "[2933]\ttraining's l2: 380.608\tvalid_0's l2: 463.955\n",
      "[2934]\ttraining's l2: 380.528\tvalid_0's l2: 463.923\n",
      "[2935]\ttraining's l2: 380.491\tvalid_0's l2: 463.892\n",
      "[2936]\ttraining's l2: 380.462\tvalid_0's l2: 463.872\n",
      "[2937]\ttraining's l2: 380.386\tvalid_0's l2: 463.835\n",
      "[2938]\ttraining's l2: 380.304\tvalid_0's l2: 463.81\n",
      "[2939]\ttraining's l2: 380.184\tvalid_0's l2: 463.727\n",
      "[2940]\ttraining's l2: 380.149\tvalid_0's l2: 463.711\n",
      "[2941]\ttraining's l2: 380.099\tvalid_0's l2: 463.664\n",
      "[2942]\ttraining's l2: 380.056\tvalid_0's l2: 463.624\n",
      "[2943]\ttraining's l2: 380.017\tvalid_0's l2: 463.589\n",
      "[2944]\ttraining's l2: 379.956\tvalid_0's l2: 463.572\n",
      "[2945]\ttraining's l2: 379.916\tvalid_0's l2: 463.548\n",
      "[2946]\ttraining's l2: 379.877\tvalid_0's l2: 463.529\n",
      "[2947]\ttraining's l2: 379.824\tvalid_0's l2: 463.492\n",
      "[2948]\ttraining's l2: 379.784\tvalid_0's l2: 463.471\n",
      "[2949]\ttraining's l2: 379.743\tvalid_0's l2: 463.448\n",
      "[2950]\ttraining's l2: 379.705\tvalid_0's l2: 463.416\n",
      "[2951]\ttraining's l2: 379.656\tvalid_0's l2: 463.394\n",
      "[2952]\ttraining's l2: 379.598\tvalid_0's l2: 463.361\n",
      "[2953]\ttraining's l2: 379.546\tvalid_0's l2: 463.319\n",
      "[2954]\ttraining's l2: 379.501\tvalid_0's l2: 463.325\n",
      "[2955]\ttraining's l2: 379.459\tvalid_0's l2: 463.342\n",
      "[2956]\ttraining's l2: 379.438\tvalid_0's l2: 463.325\n",
      "[2957]\ttraining's l2: 379.37\tvalid_0's l2: 463.296\n",
      "[2958]\ttraining's l2: 379.317\tvalid_0's l2: 463.248\n",
      "[2959]\ttraining's l2: 379.292\tvalid_0's l2: 463.23\n",
      "[2960]\ttraining's l2: 379.139\tvalid_0's l2: 463.102\n",
      "[2961]\ttraining's l2: 379.051\tvalid_0's l2: 463.068\n",
      "[2962]\ttraining's l2: 378.966\tvalid_0's l2: 463.024\n",
      "[2963]\ttraining's l2: 378.941\tvalid_0's l2: 463.001\n",
      "[2964]\ttraining's l2: 378.927\tvalid_0's l2: 462.988\n",
      "[2965]\ttraining's l2: 378.904\tvalid_0's l2: 462.974\n",
      "[2966]\ttraining's l2: 378.874\tvalid_0's l2: 462.95\n",
      "[2967]\ttraining's l2: 378.845\tvalid_0's l2: 462.924\n",
      "[2968]\ttraining's l2: 378.789\tvalid_0's l2: 462.876\n",
      "[2969]\ttraining's l2: 378.727\tvalid_0's l2: 462.863\n",
      "[2970]\ttraining's l2: 378.676\tvalid_0's l2: 462.802\n",
      "[2971]\ttraining's l2: 378.629\tvalid_0's l2: 462.771\n",
      "[2972]\ttraining's l2: 378.571\tvalid_0's l2: 462.749\n",
      "[2973]\ttraining's l2: 378.521\tvalid_0's l2: 462.715\n",
      "[2974]\ttraining's l2: 378.5\tvalid_0's l2: 462.689\n",
      "[2975]\ttraining's l2: 378.47\tvalid_0's l2: 462.661\n",
      "[2976]\ttraining's l2: 378.436\tvalid_0's l2: 462.629\n",
      "[2977]\ttraining's l2: 378.398\tvalid_0's l2: 462.617\n",
      "[2978]\ttraining's l2: 378.317\tvalid_0's l2: 462.59\n",
      "[2979]\ttraining's l2: 378.253\tvalid_0's l2: 462.556\n",
      "[2980]\ttraining's l2: 378.204\tvalid_0's l2: 462.532\n",
      "[2981]\ttraining's l2: 378.143\tvalid_0's l2: 462.509\n",
      "[2982]\ttraining's l2: 378.102\tvalid_0's l2: 462.492\n",
      "[2983]\ttraining's l2: 378.069\tvalid_0's l2: 462.469\n",
      "[2984]\ttraining's l2: 378.029\tvalid_0's l2: 462.464\n",
      "[2985]\ttraining's l2: 378.005\tvalid_0's l2: 462.45\n",
      "[2986]\ttraining's l2: 377.98\tvalid_0's l2: 462.428\n",
      "[2987]\ttraining's l2: 377.944\tvalid_0's l2: 462.418\n",
      "[2988]\ttraining's l2: 377.915\tvalid_0's l2: 462.409\n",
      "[2989]\ttraining's l2: 377.875\tvalid_0's l2: 462.388\n",
      "[2990]\ttraining's l2: 377.845\tvalid_0's l2: 462.365\n",
      "[2991]\ttraining's l2: 377.785\tvalid_0's l2: 462.358\n",
      "[2992]\ttraining's l2: 377.729\tvalid_0's l2: 462.338\n",
      "[2993]\ttraining's l2: 377.709\tvalid_0's l2: 462.321\n",
      "[2994]\ttraining's l2: 377.675\tvalid_0's l2: 462.313\n",
      "[2995]\ttraining's l2: 377.622\tvalid_0's l2: 462.26\n",
      "[2996]\ttraining's l2: 377.58\tvalid_0's l2: 462.233\n",
      "[2997]\ttraining's l2: 377.497\tvalid_0's l2: 462.169\n",
      "[2998]\ttraining's l2: 377.411\tvalid_0's l2: 462.17\n",
      "[2999]\ttraining's l2: 377.375\tvalid_0's l2: 462.139\n",
      "[3000]\ttraining's l2: 377.354\tvalid_0's l2: 462.12\n",
      "[3001]\ttraining's l2: 377.322\tvalid_0's l2: 462.108\n",
      "[3002]\ttraining's l2: 377.263\tvalid_0's l2: 462.084\n",
      "[3003]\ttraining's l2: 377.209\tvalid_0's l2: 462.042\n",
      "[3004]\ttraining's l2: 377.193\tvalid_0's l2: 462.026\n",
      "[3005]\ttraining's l2: 377.177\tvalid_0's l2: 462.011\n",
      "[3006]\ttraining's l2: 377.132\tvalid_0's l2: 461.986\n",
      "[3007]\ttraining's l2: 377.103\tvalid_0's l2: 461.965\n",
      "[3008]\ttraining's l2: 377.05\tvalid_0's l2: 461.921\n",
      "[3009]\ttraining's l2: 377.012\tvalid_0's l2: 461.897\n",
      "[3010]\ttraining's l2: 376.977\tvalid_0's l2: 461.868\n",
      "[3011]\ttraining's l2: 376.947\tvalid_0's l2: 461.878\n",
      "[3012]\ttraining's l2: 376.874\tvalid_0's l2: 461.835\n",
      "[3013]\ttraining's l2: 376.844\tvalid_0's l2: 461.821\n",
      "[3014]\ttraining's l2: 376.779\tvalid_0's l2: 461.782\n",
      "[3015]\ttraining's l2: 376.748\tvalid_0's l2: 461.766\n",
      "[3016]\ttraining's l2: 376.71\tvalid_0's l2: 461.727\n",
      "[3017]\ttraining's l2: 376.636\tvalid_0's l2: 461.716\n",
      "[3018]\ttraining's l2: 376.57\tvalid_0's l2: 461.683\n",
      "[3019]\ttraining's l2: 376.501\tvalid_0's l2: 461.634\n",
      "[3020]\ttraining's l2: 376.448\tvalid_0's l2: 461.624\n",
      "[3021]\ttraining's l2: 376.419\tvalid_0's l2: 461.614\n",
      "[3022]\ttraining's l2: 376.4\tvalid_0's l2: 461.592\n",
      "[3023]\ttraining's l2: 376.379\tvalid_0's l2: 461.589\n",
      "[3024]\ttraining's l2: 376.338\tvalid_0's l2: 461.575\n",
      "[3025]\ttraining's l2: 376.296\tvalid_0's l2: 461.539\n",
      "[3026]\ttraining's l2: 376.198\tvalid_0's l2: 461.486\n",
      "[3027]\ttraining's l2: 376.133\tvalid_0's l2: 461.431\n",
      "[3028]\ttraining's l2: 376.095\tvalid_0's l2: 461.421\n",
      "[3029]\ttraining's l2: 375.971\tvalid_0's l2: 461.35\n",
      "[3030]\ttraining's l2: 375.937\tvalid_0's l2: 461.335\n",
      "[3031]\ttraining's l2: 375.897\tvalid_0's l2: 461.324\n",
      "[3032]\ttraining's l2: 375.843\tvalid_0's l2: 461.288\n",
      "[3033]\ttraining's l2: 375.818\tvalid_0's l2: 461.277\n",
      "[3034]\ttraining's l2: 375.782\tvalid_0's l2: 461.262\n",
      "[3035]\ttraining's l2: 375.728\tvalid_0's l2: 461.221\n",
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      "[3037]\ttraining's l2: 375.645\tvalid_0's l2: 461.194\n",
      "[3038]\ttraining's l2: 375.572\tvalid_0's l2: 461.146\n",
      "[3039]\ttraining's l2: 375.533\tvalid_0's l2: 461.127\n",
      "[3040]\ttraining's l2: 375.498\tvalid_0's l2: 461.11\n",
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      "[3042]\ttraining's l2: 375.425\tvalid_0's l2: 461.08\n",
      "[3043]\ttraining's l2: 375.355\tvalid_0's l2: 461.072\n",
      "[3044]\ttraining's l2: 375.313\tvalid_0's l2: 461.039\n",
      "[3045]\ttraining's l2: 375.28\tvalid_0's l2: 461.026\n",
      "[3046]\ttraining's l2: 375.155\tvalid_0's l2: 460.929\n",
      "[3047]\ttraining's l2: 375.108\tvalid_0's l2: 460.91\n",
      "[3048]\ttraining's l2: 375.072\tvalid_0's l2: 460.908\n",
      "[3049]\ttraining's l2: 375.047\tvalid_0's l2: 460.889\n",
      "[3050]\ttraining's l2: 375.003\tvalid_0's l2: 460.854\n",
      "[3051]\ttraining's l2: 374.938\tvalid_0's l2: 460.82\n",
      "[3052]\ttraining's l2: 374.898\tvalid_0's l2: 460.814\n",
      "[3053]\ttraining's l2: 374.878\tvalid_0's l2: 460.796\n",
      "[3054]\ttraining's l2: 374.792\tvalid_0's l2: 460.771\n",
      "[3055]\ttraining's l2: 374.722\tvalid_0's l2: 460.712\n",
      "[3056]\ttraining's l2: 374.697\tvalid_0's l2: 460.688\n",
      "[3057]\ttraining's l2: 374.639\tvalid_0's l2: 460.64\n",
      "[3058]\ttraining's l2: 374.617\tvalid_0's l2: 460.62\n",
      "[3059]\ttraining's l2: 374.551\tvalid_0's l2: 460.562\n",
      "[3060]\ttraining's l2: 374.505\tvalid_0's l2: 460.555\n",
      "[3061]\ttraining's l2: 374.469\tvalid_0's l2: 460.534\n",
      "[3062]\ttraining's l2: 374.417\tvalid_0's l2: 460.492\n",
      "[3063]\ttraining's l2: 374.397\tvalid_0's l2: 460.471\n",
      "[3064]\ttraining's l2: 374.371\tvalid_0's l2: 460.464\n",
      "[3065]\ttraining's l2: 374.352\tvalid_0's l2: 460.448\n",
      "[3066]\ttraining's l2: 374.335\tvalid_0's l2: 460.442\n",
      "[3067]\ttraining's l2: 374.303\tvalid_0's l2: 460.418\n",
      "[3068]\ttraining's l2: 374.262\tvalid_0's l2: 460.407\n",
      "[3069]\ttraining's l2: 374.207\tvalid_0's l2: 460.371\n",
      "[3070]\ttraining's l2: 374.175\tvalid_0's l2: 460.364\n",
      "[3071]\ttraining's l2: 374.139\tvalid_0's l2: 460.338\n",
      "[3072]\ttraining's l2: 374.12\tvalid_0's l2: 460.318\n",
      "[3073]\ttraining's l2: 374.105\tvalid_0's l2: 460.306\n",
      "[3074]\ttraining's l2: 374.06\tvalid_0's l2: 460.28\n",
      "[3075]\ttraining's l2: 374.02\tvalid_0's l2: 460.255\n",
      "[3076]\ttraining's l2: 373.974\tvalid_0's l2: 460.208\n",
      "[3077]\ttraining's l2: 373.933\tvalid_0's l2: 460.201\n",
      "[3078]\ttraining's l2: 373.843\tvalid_0's l2: 460.142\n",
      "[3079]\ttraining's l2: 373.785\tvalid_0's l2: 460.137\n",
      "[3080]\ttraining's l2: 373.715\tvalid_0's l2: 460.127\n",
      "[3081]\ttraining's l2: 373.667\tvalid_0's l2: 460.089\n",
      "[3082]\ttraining's l2: 373.633\tvalid_0's l2: 460.055\n",
      "[3083]\ttraining's l2: 373.556\tvalid_0's l2: 460.02\n",
      "[3084]\ttraining's l2: 373.484\tvalid_0's l2: 460.006\n",
      "[3085]\ttraining's l2: 373.418\tvalid_0's l2: 459.951\n",
      "[3086]\ttraining's l2: 373.364\tvalid_0's l2: 459.929\n",
      "[3087]\ttraining's l2: 373.325\tvalid_0's l2: 459.913\n",
      "[3088]\ttraining's l2: 373.262\tvalid_0's l2: 459.851\n",
      "[3089]\ttraining's l2: 373.233\tvalid_0's l2: 459.818\n",
      "[3090]\ttraining's l2: 373.171\tvalid_0's l2: 459.784\n",
      "[3091]\ttraining's l2: 373.147\tvalid_0's l2: 459.773\n",
      "[3092]\ttraining's l2: 373.105\tvalid_0's l2: 459.741\n",
      "[3093]\ttraining's l2: 373.081\tvalid_0's l2: 459.719\n",
      "[3094]\ttraining's l2: 373.043\tvalid_0's l2: 459.686\n",
      "[3095]\ttraining's l2: 372.993\tvalid_0's l2: 459.636\n",
      "[3096]\ttraining's l2: 372.95\tvalid_0's l2: 459.61\n",
      "[3097]\ttraining's l2: 372.91\tvalid_0's l2: 459.571\n",
      "[3098]\ttraining's l2: 372.873\tvalid_0's l2: 459.556\n",
      "[3099]\ttraining's l2: 372.84\tvalid_0's l2: 459.533\n",
      "[3100]\ttraining's l2: 372.802\tvalid_0's l2: 459.516\n",
      "[3101]\ttraining's l2: 372.768\tvalid_0's l2: 459.513\n",
      "[3102]\ttraining's l2: 372.709\tvalid_0's l2: 459.485\n",
      "[3103]\ttraining's l2: 372.687\tvalid_0's l2: 459.474\n",
      "[3104]\ttraining's l2: 372.662\tvalid_0's l2: 459.452\n",
      "[3105]\ttraining's l2: 372.633\tvalid_0's l2: 459.437\n",
      "[3106]\ttraining's l2: 372.574\tvalid_0's l2: 459.378\n",
      "[3107]\ttraining's l2: 372.511\tvalid_0's l2: 459.333\n",
      "[3108]\ttraining's l2: 372.488\tvalid_0's l2: 459.309\n",
      "[3109]\ttraining's l2: 372.453\tvalid_0's l2: 459.289\n",
      "[3110]\ttraining's l2: 372.43\tvalid_0's l2: 459.272\n",
      "[3111]\ttraining's l2: 372.403\tvalid_0's l2: 459.248\n",
      "[3112]\ttraining's l2: 372.383\tvalid_0's l2: 459.229\n",
      "[3113]\ttraining's l2: 372.334\tvalid_0's l2: 459.186\n",
      "[3114]\ttraining's l2: 372.288\tvalid_0's l2: 459.169\n",
      "[3115]\ttraining's l2: 372.259\tvalid_0's l2: 459.15\n",
      "[3116]\ttraining's l2: 372.225\tvalid_0's l2: 459.116\n",
      "[3117]\ttraining's l2: 372.2\tvalid_0's l2: 459.105\n",
      "[3118]\ttraining's l2: 372.139\tvalid_0's l2: 459.072\n",
      "[3119]\ttraining's l2: 372.113\tvalid_0's l2: 459.059\n",
      "[3120]\ttraining's l2: 372.069\tvalid_0's l2: 459.026\n",
      "[3121]\ttraining's l2: 372.019\tvalid_0's l2: 459.016\n",
      "[3122]\ttraining's l2: 371.966\tvalid_0's l2: 459.005\n",
      "[3123]\ttraining's l2: 371.933\tvalid_0's l2: 459.001\n",
      "[3124]\ttraining's l2: 371.89\tvalid_0's l2: 458.998\n",
      "[3125]\ttraining's l2: 371.781\tvalid_0's l2: 458.998\n",
      "[3126]\ttraining's l2: 371.763\tvalid_0's l2: 458.986\n",
      "[3127]\ttraining's l2: 371.712\tvalid_0's l2: 458.938\n",
      "[3128]\ttraining's l2: 371.679\tvalid_0's l2: 458.908\n",
      "[3129]\ttraining's l2: 371.614\tvalid_0's l2: 458.867\n",
      "[3130]\ttraining's l2: 371.563\tvalid_0's l2: 458.843\n",
      "[3131]\ttraining's l2: 371.526\tvalid_0's l2: 458.829\n",
      "[3132]\ttraining's l2: 371.501\tvalid_0's l2: 458.818\n",
      "[3133]\ttraining's l2: 371.463\tvalid_0's l2: 458.803\n",
      "[3134]\ttraining's l2: 371.429\tvalid_0's l2: 458.778\n",
      "[3135]\ttraining's l2: 371.366\tvalid_0's l2: 458.752\n",
      "[3136]\ttraining's l2: 371.355\tvalid_0's l2: 458.743\n",
      "[3137]\ttraining's l2: 371.283\tvalid_0's l2: 458.691\n",
      "[3138]\ttraining's l2: 371.252\tvalid_0's l2: 458.686\n",
      "[3139]\ttraining's l2: 371.228\tvalid_0's l2: 458.684\n",
      "[3140]\ttraining's l2: 371.211\tvalid_0's l2: 458.677\n",
      "[3141]\ttraining's l2: 371.178\tvalid_0's l2: 458.653\n",
      "[3142]\ttraining's l2: 371.15\tvalid_0's l2: 458.648\n",
      "[3143]\ttraining's l2: 371.085\tvalid_0's l2: 458.619\n",
      "[3144]\ttraining's l2: 371.02\tvalid_0's l2: 458.592\n",
      "[3145]\ttraining's l2: 370.977\tvalid_0's l2: 458.558\n",
      "[3146]\ttraining's l2: 370.918\tvalid_0's l2: 458.53\n",
      "[3147]\ttraining's l2: 370.876\tvalid_0's l2: 458.518\n",
      "[3148]\ttraining's l2: 370.841\tvalid_0's l2: 458.5\n",
      "[3149]\ttraining's l2: 370.784\tvalid_0's l2: 458.462\n",
      "[3150]\ttraining's l2: 370.696\tvalid_0's l2: 458.422\n",
      "[3151]\ttraining's l2: 370.666\tvalid_0's l2: 458.419\n",
      "[3152]\ttraining's l2: 370.613\tvalid_0's l2: 458.389\n",
      "[3153]\ttraining's l2: 370.581\tvalid_0's l2: 458.372\n",
      "[3154]\ttraining's l2: 370.539\tvalid_0's l2: 458.353\n",
      "[3155]\ttraining's l2: 370.52\tvalid_0's l2: 458.342\n",
      "[3156]\ttraining's l2: 370.46\tvalid_0's l2: 458.33\n",
      "[3157]\ttraining's l2: 370.399\tvalid_0's l2: 458.272\n",
      "[3158]\ttraining's l2: 370.325\tvalid_0's l2: 458.237\n",
      "[3159]\ttraining's l2: 370.274\tvalid_0's l2: 458.198\n",
      "[3160]\ttraining's l2: 370.231\tvalid_0's l2: 458.187\n",
      "[3161]\ttraining's l2: 370.199\tvalid_0's l2: 458.172\n",
      "[3162]\ttraining's l2: 370.114\tvalid_0's l2: 458.143\n",
      "[3163]\ttraining's l2: 370.079\tvalid_0's l2: 458.126\n",
      "[3164]\ttraining's l2: 370.038\tvalid_0's l2: 458.081\n",
      "[3165]\ttraining's l2: 369.994\tvalid_0's l2: 458.041\n",
      "[3166]\ttraining's l2: 369.952\tvalid_0's l2: 458.02\n",
      "[3167]\ttraining's l2: 369.919\tvalid_0's l2: 458.014\n",
      "[3168]\ttraining's l2: 369.882\tvalid_0's l2: 458.033\n",
      "[3169]\ttraining's l2: 369.862\tvalid_0's l2: 458.027\n",
      "[3170]\ttraining's l2: 369.819\tvalid_0's l2: 457.992\n",
      "[3171]\ttraining's l2: 369.783\tvalid_0's l2: 457.996\n",
      "[3172]\ttraining's l2: 369.707\tvalid_0's l2: 457.929\n",
      "[3173]\ttraining's l2: 369.663\tvalid_0's l2: 457.895\n",
      "[3174]\ttraining's l2: 369.633\tvalid_0's l2: 457.867\n",
      "[3175]\ttraining's l2: 369.59\tvalid_0's l2: 457.849\n",
      "[3176]\ttraining's l2: 369.561\tvalid_0's l2: 457.831\n",
      "[3177]\ttraining's l2: 369.533\tvalid_0's l2: 457.816\n",
      "[3178]\ttraining's l2: 369.498\tvalid_0's l2: 457.793\n",
      "[3179]\ttraining's l2: 369.451\tvalid_0's l2: 457.746\n",
      "[3180]\ttraining's l2: 369.428\tvalid_0's l2: 457.74\n",
      "[3181]\ttraining's l2: 369.395\tvalid_0's l2: 457.716\n",
      "[3182]\ttraining's l2: 369.379\tvalid_0's l2: 457.706\n",
      "[3183]\ttraining's l2: 369.318\tvalid_0's l2: 457.686\n",
      "[3184]\ttraining's l2: 369.297\tvalid_0's l2: 457.671\n",
      "[3185]\ttraining's l2: 369.274\tvalid_0's l2: 457.654\n",
      "[3186]\ttraining's l2: 369.239\tvalid_0's l2: 457.626\n",
      "[3187]\ttraining's l2: 369.209\tvalid_0's l2: 457.617\n",
      "[3188]\ttraining's l2: 369.172\tvalid_0's l2: 457.596\n",
      "[3189]\ttraining's l2: 369.138\tvalid_0's l2: 457.567\n",
      "[3190]\ttraining's l2: 369.075\tvalid_0's l2: 457.552\n",
      "[3191]\ttraining's l2: 369.021\tvalid_0's l2: 457.53\n",
      "[3192]\ttraining's l2: 368.996\tvalid_0's l2: 457.522\n",
      "[3193]\ttraining's l2: 368.972\tvalid_0's l2: 457.501\n",
      "[3194]\ttraining's l2: 368.889\tvalid_0's l2: 457.455\n",
      "[3195]\ttraining's l2: 368.877\tvalid_0's l2: 457.451\n",
      "[3196]\ttraining's l2: 368.844\tvalid_0's l2: 457.44\n",
      "[3197]\ttraining's l2: 368.821\tvalid_0's l2: 457.418\n",
      "[3198]\ttraining's l2: 368.773\tvalid_0's l2: 457.412\n",
      "[3199]\ttraining's l2: 368.721\tvalid_0's l2: 457.401\n",
      "[3200]\ttraining's l2: 368.666\tvalid_0's l2: 457.377\n",
      "[3201]\ttraining's l2: 368.618\tvalid_0's l2: 457.337\n",
      "[3202]\ttraining's l2: 368.557\tvalid_0's l2: 457.312\n",
      "[3203]\ttraining's l2: 368.525\tvalid_0's l2: 457.285\n",
      "[3204]\ttraining's l2: 368.488\tvalid_0's l2: 457.262\n",
      "[3205]\ttraining's l2: 368.455\tvalid_0's l2: 457.233\n",
      "[3206]\ttraining's l2: 368.431\tvalid_0's l2: 457.218\n",
      "[3207]\ttraining's l2: 368.386\tvalid_0's l2: 457.179\n",
      "[3208]\ttraining's l2: 368.322\tvalid_0's l2: 457.154\n",
      "[3209]\ttraining's l2: 368.299\tvalid_0's l2: 457.12\n",
      "[3210]\ttraining's l2: 368.257\tvalid_0's l2: 457.107\n",
      "[3211]\ttraining's l2: 368.243\tvalid_0's l2: 457.101\n",
      "[3212]\ttraining's l2: 368.209\tvalid_0's l2: 457.076\n",
      "[3213]\ttraining's l2: 368.166\tvalid_0's l2: 457.047\n",
      "[3214]\ttraining's l2: 368.134\tvalid_0's l2: 457.034\n",
      "[3215]\ttraining's l2: 368.104\tvalid_0's l2: 457.015\n",
      "[3216]\ttraining's l2: 368.058\tvalid_0's l2: 457.003\n",
      "[3217]\ttraining's l2: 368.047\tvalid_0's l2: 457\n",
      "[3218]\ttraining's l2: 368.031\tvalid_0's l2: 456.985\n",
      "[3219]\ttraining's l2: 368.007\tvalid_0's l2: 456.975\n",
      "[3220]\ttraining's l2: 367.99\tvalid_0's l2: 456.961\n",
      "[3221]\ttraining's l2: 367.973\tvalid_0's l2: 456.953\n",
      "[3222]\ttraining's l2: 367.903\tvalid_0's l2: 456.911\n",
      "[3223]\ttraining's l2: 367.875\tvalid_0's l2: 456.879\n",
      "[3224]\ttraining's l2: 367.818\tvalid_0's l2: 456.837\n",
      "[3225]\ttraining's l2: 367.789\tvalid_0's l2: 456.83\n",
      "[3226]\ttraining's l2: 367.776\tvalid_0's l2: 456.816\n",
      "[3227]\ttraining's l2: 367.739\tvalid_0's l2: 456.788\n",
      "[3228]\ttraining's l2: 367.685\tvalid_0's l2: 456.744\n",
      "[3229]\ttraining's l2: 367.618\tvalid_0's l2: 456.712\n",
      "[3230]\ttraining's l2: 367.551\tvalid_0's l2: 456.686\n",
      "[3231]\ttraining's l2: 367.506\tvalid_0's l2: 456.655\n",
      "[3232]\ttraining's l2: 367.413\tvalid_0's l2: 456.613\n",
      "[3233]\ttraining's l2: 367.357\tvalid_0's l2: 456.586\n",
      "[3234]\ttraining's l2: 367.324\tvalid_0's l2: 456.56\n",
      "[3235]\ttraining's l2: 367.303\tvalid_0's l2: 456.553\n",
      "[3236]\ttraining's l2: 367.274\tvalid_0's l2: 456.525\n",
      "[3237]\ttraining's l2: 367.246\tvalid_0's l2: 456.501\n",
      "[3238]\ttraining's l2: 367.218\tvalid_0's l2: 456.489\n",
      "[3239]\ttraining's l2: 367.196\tvalid_0's l2: 456.475\n",
      "[3240]\ttraining's l2: 367.186\tvalid_0's l2: 456.48\n",
      "[3241]\ttraining's l2: 367.154\tvalid_0's l2: 456.478\n",
      "[3242]\ttraining's l2: 367.121\tvalid_0's l2: 456.445\n",
      "[3243]\ttraining's l2: 367.074\tvalid_0's l2: 456.426\n",
      "[3244]\ttraining's l2: 367.022\tvalid_0's l2: 456.374\n",
      "[3245]\ttraining's l2: 366.994\tvalid_0's l2: 456.358\n",
      "[3246]\ttraining's l2: 366.945\tvalid_0's l2: 456.313\n",
      "[3247]\ttraining's l2: 366.892\tvalid_0's l2: 456.289\n",
      "[3248]\ttraining's l2: 366.84\tvalid_0's l2: 456.246\n",
      "[3249]\ttraining's l2: 366.809\tvalid_0's l2: 456.248\n",
      "[3250]\ttraining's l2: 366.757\tvalid_0's l2: 456.237\n",
      "[3251]\ttraining's l2: 366.729\tvalid_0's l2: 456.223\n",
      "[3252]\ttraining's l2: 366.663\tvalid_0's l2: 456.202\n",
      "[3253]\ttraining's l2: 366.65\tvalid_0's l2: 456.185\n",
      "[3254]\ttraining's l2: 366.603\tvalid_0's l2: 456.189\n",
      "[3255]\ttraining's l2: 366.576\tvalid_0's l2: 456.172\n",
      "[3256]\ttraining's l2: 366.509\tvalid_0's l2: 456.136\n",
      "[3257]\ttraining's l2: 366.484\tvalid_0's l2: 456.13\n",
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      "[3259]\ttraining's l2: 366.404\tvalid_0's l2: 456.053\n",
      "[3260]\ttraining's l2: 366.343\tvalid_0's l2: 456.042\n",
      "[3261]\ttraining's l2: 366.325\tvalid_0's l2: 456.022\n",
      "[3262]\ttraining's l2: 366.273\tvalid_0's l2: 455.996\n",
      "[3263]\ttraining's l2: 366.255\tvalid_0's l2: 455.985\n",
      "[3264]\ttraining's l2: 366.214\tvalid_0's l2: 455.983\n",
      "[3265]\ttraining's l2: 366.172\tvalid_0's l2: 455.939\n",
      "[3266]\ttraining's l2: 366.155\tvalid_0's l2: 455.932\n",
      "[3267]\ttraining's l2: 366.115\tvalid_0's l2: 455.899\n",
      "[3268]\ttraining's l2: 366.094\tvalid_0's l2: 455.892\n",
      "[3269]\ttraining's l2: 366.067\tvalid_0's l2: 455.884\n",
      "[3270]\ttraining's l2: 366.039\tvalid_0's l2: 455.863\n",
      "[3271]\ttraining's l2: 366.007\tvalid_0's l2: 455.837\n",
      "[3272]\ttraining's l2: 365.952\tvalid_0's l2: 455.826\n",
      "[3273]\ttraining's l2: 365.909\tvalid_0's l2: 455.83\n",
      "[3274]\ttraining's l2: 365.887\tvalid_0's l2: 455.809\n",
      "[3275]\ttraining's l2: 365.836\tvalid_0's l2: 455.789\n",
      "[3276]\ttraining's l2: 365.792\tvalid_0's l2: 455.733\n",
      "[3277]\ttraining's l2: 365.756\tvalid_0's l2: 455.692\n",
      "[3278]\ttraining's l2: 365.662\tvalid_0's l2: 455.609\n",
      "[3279]\ttraining's l2: 365.622\tvalid_0's l2: 455.583\n",
      "[3280]\ttraining's l2: 365.585\tvalid_0's l2: 455.575\n",
      "[3281]\ttraining's l2: 365.54\tvalid_0's l2: 455.572\n",
      "[3282]\ttraining's l2: 365.491\tvalid_0's l2: 455.554\n",
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      "[3284]\ttraining's l2: 365.408\tvalid_0's l2: 455.47\n",
      "[3285]\ttraining's l2: 365.372\tvalid_0's l2: 455.435\n",
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      "[3287]\ttraining's l2: 365.299\tvalid_0's l2: 455.383\n",
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      "[3289]\ttraining's l2: 365.18\tvalid_0's l2: 455.314\n",
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      "[3295]\ttraining's l2: 364.86\tvalid_0's l2: 455.1\n",
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      "[3297]\ttraining's l2: 364.79\tvalid_0's l2: 455.061\n",
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      "[3299]\ttraining's l2: 364.722\tvalid_0's l2: 455.006\n",
      "[3300]\ttraining's l2: 364.691\tvalid_0's l2: 454.994\n",
      "[3301]\ttraining's l2: 364.667\tvalid_0's l2: 454.998\n",
      "[3302]\ttraining's l2: 364.643\tvalid_0's l2: 454.973\n",
      "[3303]\ttraining's l2: 364.585\tvalid_0's l2: 454.954\n",
      "[3304]\ttraining's l2: 364.564\tvalid_0's l2: 454.938\n",
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      "[3306]\ttraining's l2: 364.49\tvalid_0's l2: 454.87\n",
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      "[3309]\ttraining's l2: 364.424\tvalid_0's l2: 454.835\n",
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      "[3408]\ttraining's l2: 360.548\tvalid_0's l2: 452.866\n",
      "[3409]\ttraining's l2: 360.509\tvalid_0's l2: 452.833\n",
      "[3410]\ttraining's l2: 360.491\tvalid_0's l2: 452.826\n",
      "[3411]\ttraining's l2: 360.465\tvalid_0's l2: 452.82\n",
      "[3412]\ttraining's l2: 360.409\tvalid_0's l2: 452.785\n",
      "[3413]\ttraining's l2: 360.366\tvalid_0's l2: 452.779\n",
      "[3414]\ttraining's l2: 360.322\tvalid_0's l2: 452.783\n",
      "[3415]\ttraining's l2: 360.257\tvalid_0's l2: 452.745\n",
      "[3416]\ttraining's l2: 360.241\tvalid_0's l2: 452.735\n",
      "[3417]\ttraining's l2: 360.178\tvalid_0's l2: 452.712\n",
      "[3418]\ttraining's l2: 360.151\tvalid_0's l2: 452.691\n",
      "[3419]\ttraining's l2: 360.112\tvalid_0's l2: 452.675\n",
      "[3420]\ttraining's l2: 360.073\tvalid_0's l2: 452.648\n",
      "[3421]\ttraining's l2: 360.031\tvalid_0's l2: 452.637\n",
      "[3422]\ttraining's l2: 360.014\tvalid_0's l2: 452.623\n",
      "[3423]\ttraining's l2: 359.967\tvalid_0's l2: 452.6\n",
      "[3424]\ttraining's l2: 359.946\tvalid_0's l2: 452.584\n",
      "[3425]\ttraining's l2: 359.915\tvalid_0's l2: 452.594\n",
      "[3426]\ttraining's l2: 359.902\tvalid_0's l2: 452.589\n",
      "[3427]\ttraining's l2: 359.872\tvalid_0's l2: 452.575\n",
      "[3428]\ttraining's l2: 359.838\tvalid_0's l2: 452.555\n",
      "[3429]\ttraining's l2: 359.793\tvalid_0's l2: 452.547\n",
      "[3430]\ttraining's l2: 359.767\tvalid_0's l2: 452.523\n",
      "[3431]\ttraining's l2: 359.74\tvalid_0's l2: 452.496\n",
      "[3432]\ttraining's l2: 359.709\tvalid_0's l2: 452.464\n",
      "[3433]\ttraining's l2: 359.685\tvalid_0's l2: 452.456\n",
      "[3434]\ttraining's l2: 359.644\tvalid_0's l2: 452.415\n",
      "[3435]\ttraining's l2: 359.605\tvalid_0's l2: 452.41\n",
      "[3436]\ttraining's l2: 359.577\tvalid_0's l2: 452.381\n",
      "[3437]\ttraining's l2: 359.554\tvalid_0's l2: 452.359\n",
      "[3438]\ttraining's l2: 359.531\tvalid_0's l2: 452.348\n",
      "[3439]\ttraining's l2: 359.489\tvalid_0's l2: 452.335\n",
      "[3440]\ttraining's l2: 359.459\tvalid_0's l2: 452.287\n",
      "[3441]\ttraining's l2: 359.427\tvalid_0's l2: 452.271\n",
      "[3442]\ttraining's l2: 359.394\tvalid_0's l2: 452.266\n",
      "[3443]\ttraining's l2: 359.365\tvalid_0's l2: 452.267\n",
      "[3444]\ttraining's l2: 359.336\tvalid_0's l2: 452.263\n",
      "[3445]\ttraining's l2: 359.317\tvalid_0's l2: 452.249\n",
      "[3446]\ttraining's l2: 359.279\tvalid_0's l2: 452.243\n",
      "[3447]\ttraining's l2: 359.251\tvalid_0's l2: 452.238\n",
      "[3448]\ttraining's l2: 359.231\tvalid_0's l2: 452.226\n",
      "[3449]\ttraining's l2: 359.199\tvalid_0's l2: 452.221\n",
      "[3450]\ttraining's l2: 359.161\tvalid_0's l2: 452.234\n",
      "[3451]\ttraining's l2: 359.129\tvalid_0's l2: 452.202\n",
      "[3452]\ttraining's l2: 359.103\tvalid_0's l2: 452.184\n",
      "[3453]\ttraining's l2: 359.049\tvalid_0's l2: 452.164\n",
      "[3454]\ttraining's l2: 359.026\tvalid_0's l2: 452.145\n",
      "[3455]\ttraining's l2: 358.998\tvalid_0's l2: 452.139\n",
      "[3456]\ttraining's l2: 358.982\tvalid_0's l2: 452.129\n",
      "[3457]\ttraining's l2: 358.949\tvalid_0's l2: 452.102\n",
      "[3458]\ttraining's l2: 358.928\tvalid_0's l2: 452.089\n",
      "[3459]\ttraining's l2: 358.835\tvalid_0's l2: 451.978\n",
      "[3460]\ttraining's l2: 358.823\tvalid_0's l2: 451.977\n",
      "[3461]\ttraining's l2: 358.78\tvalid_0's l2: 451.968\n",
      "[3462]\ttraining's l2: 358.748\tvalid_0's l2: 451.941\n",
      "[3463]\ttraining's l2: 358.718\tvalid_0's l2: 451.911\n",
      "[3464]\ttraining's l2: 358.685\tvalid_0's l2: 451.875\n",
      "[3465]\ttraining's l2: 358.638\tvalid_0's l2: 451.862\n",
      "[3466]\ttraining's l2: 358.613\tvalid_0's l2: 451.842\n",
      "[3467]\ttraining's l2: 358.577\tvalid_0's l2: 451.835\n",
      "[3468]\ttraining's l2: 358.521\tvalid_0's l2: 451.786\n",
      "[3469]\ttraining's l2: 358.486\tvalid_0's l2: 451.76\n",
      "[3470]\ttraining's l2: 358.458\tvalid_0's l2: 451.74\n",
      "[3471]\ttraining's l2: 358.402\tvalid_0's l2: 451.703\n",
      "[3472]\ttraining's l2: 358.363\tvalid_0's l2: 451.697\n",
      "[3473]\ttraining's l2: 358.33\tvalid_0's l2: 451.68\n",
      "[3474]\ttraining's l2: 358.299\tvalid_0's l2: 451.652\n",
      "[3475]\ttraining's l2: 358.276\tvalid_0's l2: 451.648\n",
      "[3476]\ttraining's l2: 358.217\tvalid_0's l2: 451.615\n",
      "[3477]\ttraining's l2: 358.184\tvalid_0's l2: 451.58\n",
      "[3478]\ttraining's l2: 358.16\tvalid_0's l2: 451.562\n",
      "[3479]\ttraining's l2: 358.126\tvalid_0's l2: 451.554\n",
      "[3480]\ttraining's l2: 358.101\tvalid_0's l2: 451.532\n",
      "[3481]\ttraining's l2: 358.052\tvalid_0's l2: 451.538\n",
      "[3482]\ttraining's l2: 358.027\tvalid_0's l2: 451.512\n",
      "[3483]\ttraining's l2: 357.964\tvalid_0's l2: 451.48\n",
      "[3484]\ttraining's l2: 357.921\tvalid_0's l2: 451.449\n",
      "[3485]\ttraining's l2: 357.876\tvalid_0's l2: 451.417\n",
      "[3486]\ttraining's l2: 357.835\tvalid_0's l2: 451.394\n",
      "[3487]\ttraining's l2: 357.801\tvalid_0's l2: 451.382\n",
      "[3488]\ttraining's l2: 357.774\tvalid_0's l2: 451.359\n",
      "[3489]\ttraining's l2: 357.748\tvalid_0's l2: 451.331\n",
      "[3490]\ttraining's l2: 357.714\tvalid_0's l2: 451.313\n",
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      "[3492]\ttraining's l2: 357.673\tvalid_0's l2: 451.273\n",
      "[3493]\ttraining's l2: 357.623\tvalid_0's l2: 451.243\n",
      "[3494]\ttraining's l2: 357.603\tvalid_0's l2: 451.225\n",
      "[3495]\ttraining's l2: 357.589\tvalid_0's l2: 451.216\n",
      "[3496]\ttraining's l2: 357.556\tvalid_0's l2: 451.203\n",
      "[3497]\ttraining's l2: 357.521\tvalid_0's l2: 451.195\n",
      "[3498]\ttraining's l2: 357.492\tvalid_0's l2: 451.188\n",
      "[3499]\ttraining's l2: 357.435\tvalid_0's l2: 451.149\n",
      "[3500]\ttraining's l2: 357.391\tvalid_0's l2: 451.134\n",
      "[3501]\ttraining's l2: 357.35\tvalid_0's l2: 451.11\n",
      "[3502]\ttraining's l2: 357.326\tvalid_0's l2: 451.096\n",
      "[3503]\ttraining's l2: 357.284\tvalid_0's l2: 451.102\n",
      "[3504]\ttraining's l2: 357.222\tvalid_0's l2: 451.051\n",
      "[3505]\ttraining's l2: 357.136\tvalid_0's l2: 450.971\n",
      "[3506]\ttraining's l2: 357.108\tvalid_0's l2: 450.947\n",
      "[3507]\ttraining's l2: 357.056\tvalid_0's l2: 450.924\n",
      "[3508]\ttraining's l2: 356.985\tvalid_0's l2: 450.882\n",
      "[3509]\ttraining's l2: 356.943\tvalid_0's l2: 450.86\n",
      "[3510]\ttraining's l2: 356.921\tvalid_0's l2: 450.868\n",
      "[3511]\ttraining's l2: 356.905\tvalid_0's l2: 450.855\n",
      "[3512]\ttraining's l2: 356.886\tvalid_0's l2: 450.849\n",
      "[3513]\ttraining's l2: 356.851\tvalid_0's l2: 450.813\n",
      "[3514]\ttraining's l2: 356.823\tvalid_0's l2: 450.78\n",
      "[3515]\ttraining's l2: 356.803\tvalid_0's l2: 450.771\n",
      "[3516]\ttraining's l2: 356.779\tvalid_0's l2: 450.747\n",
      "[3517]\ttraining's l2: 356.755\tvalid_0's l2: 450.727\n",
      "[3518]\ttraining's l2: 356.7\tvalid_0's l2: 450.699\n",
      "[3519]\ttraining's l2: 356.681\tvalid_0's l2: 450.694\n",
      "[3520]\ttraining's l2: 356.642\tvalid_0's l2: 450.654\n",
      "[3521]\ttraining's l2: 356.615\tvalid_0's l2: 450.641\n",
      "[3522]\ttraining's l2: 356.592\tvalid_0's l2: 450.629\n",
      "[3523]\ttraining's l2: 356.565\tvalid_0's l2: 450.595\n",
      "[3524]\ttraining's l2: 356.523\tvalid_0's l2: 450.586\n",
      "[3525]\ttraining's l2: 356.494\tvalid_0's l2: 450.569\n",
      "[3526]\ttraining's l2: 356.487\tvalid_0's l2: 450.564\n",
      "[3527]\ttraining's l2: 356.44\tvalid_0's l2: 450.566\n",
      "[3528]\ttraining's l2: 356.429\tvalid_0's l2: 450.56\n",
      "[3529]\ttraining's l2: 356.379\tvalid_0's l2: 450.574\n",
      "[3530]\ttraining's l2: 356.349\tvalid_0's l2: 450.558\n",
      "[3531]\ttraining's l2: 356.313\tvalid_0's l2: 450.526\n",
      "[3532]\ttraining's l2: 356.29\tvalid_0's l2: 450.51\n",
      "[3533]\ttraining's l2: 356.271\tvalid_0's l2: 450.503\n",
      "[3534]\ttraining's l2: 356.253\tvalid_0's l2: 450.487\n",
      "[3535]\ttraining's l2: 356.226\tvalid_0's l2: 450.498\n",
      "[3536]\ttraining's l2: 356.202\tvalid_0's l2: 450.478\n",
      "[3537]\ttraining's l2: 356.182\tvalid_0's l2: 450.465\n",
      "[3538]\ttraining's l2: 356.161\tvalid_0's l2: 450.448\n",
      "[3539]\ttraining's l2: 356.133\tvalid_0's l2: 450.435\n",
      "[3540]\ttraining's l2: 356.114\tvalid_0's l2: 450.425\n",
      "[3541]\ttraining's l2: 356.042\tvalid_0's l2: 450.441\n",
      "[3542]\ttraining's l2: 355.998\tvalid_0's l2: 450.418\n",
      "[3543]\ttraining's l2: 355.976\tvalid_0's l2: 450.398\n",
      "[3544]\ttraining's l2: 355.954\tvalid_0's l2: 450.371\n",
      "[3545]\ttraining's l2: 355.893\tvalid_0's l2: 450.345\n",
      "[3546]\ttraining's l2: 355.875\tvalid_0's l2: 450.327\n",
      "[3547]\ttraining's l2: 355.849\tvalid_0's l2: 450.32\n",
      "[3548]\ttraining's l2: 355.82\tvalid_0's l2: 450.319\n",
      "[3549]\ttraining's l2: 355.807\tvalid_0's l2: 450.313\n",
      "[3550]\ttraining's l2: 355.791\tvalid_0's l2: 450.296\n",
      "[3551]\ttraining's l2: 355.766\tvalid_0's l2: 450.268\n",
      "[3552]\ttraining's l2: 355.733\tvalid_0's l2: 450.234\n",
      "[3553]\ttraining's l2: 355.718\tvalid_0's l2: 450.224\n",
      "[3554]\ttraining's l2: 355.681\tvalid_0's l2: 450.239\n",
      "[3555]\ttraining's l2: 355.674\tvalid_0's l2: 450.23\n",
      "[3556]\ttraining's l2: 355.638\tvalid_0's l2: 450.212\n",
      "[3557]\ttraining's l2: 355.6\tvalid_0's l2: 450.189\n",
      "[3558]\ttraining's l2: 355.559\tvalid_0's l2: 450.171\n",
      "[3559]\ttraining's l2: 355.539\tvalid_0's l2: 450.147\n",
      "[3560]\ttraining's l2: 355.479\tvalid_0's l2: 450.119\n",
      "[3561]\ttraining's l2: 355.458\tvalid_0's l2: 450.113\n",
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      "[3564]\ttraining's l2: 355.347\tvalid_0's l2: 450.035\n",
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      "[3566]\ttraining's l2: 355.276\tvalid_0's l2: 450.011\n",
      "[3567]\ttraining's l2: 355.244\tvalid_0's l2: 450.006\n",
      "[3568]\ttraining's l2: 355.214\tvalid_0's l2: 449.999\n",
      "[3569]\ttraining's l2: 355.182\tvalid_0's l2: 449.973\n",
      "[3570]\ttraining's l2: 355.165\tvalid_0's l2: 449.956\n",
      "[3571]\ttraining's l2: 355.137\tvalid_0's l2: 449.93\n",
      "[3572]\ttraining's l2: 355.104\tvalid_0's l2: 449.905\n",
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      "[3575]\ttraining's l2: 355.008\tvalid_0's l2: 449.881\n",
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      "[3577]\ttraining's l2: 354.889\tvalid_0's l2: 449.791\n",
      "[3578]\ttraining's l2: 354.823\tvalid_0's l2: 449.729\n",
      "[3579]\ttraining's l2: 354.806\tvalid_0's l2: 449.716\n",
      "[3580]\ttraining's l2: 354.748\tvalid_0's l2: 449.697\n",
      "[3581]\ttraining's l2: 354.706\tvalid_0's l2: 449.667\n",
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      "[3583]\ttraining's l2: 354.608\tvalid_0's l2: 449.592\n",
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      "[3589]\ttraining's l2: 354.377\tvalid_0's l2: 449.469\n",
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      "[3600]\ttraining's l2: 354.062\tvalid_0's l2: 449.345\n",
      "[3601]\ttraining's l2: 353.967\tvalid_0's l2: 449.255\n",
      "[3602]\ttraining's l2: 353.921\tvalid_0's l2: 449.234\n",
      "[3603]\ttraining's l2: 353.886\tvalid_0's l2: 449.224\n",
      "[3604]\ttraining's l2: 353.86\tvalid_0's l2: 449.204\n",
      "[3605]\ttraining's l2: 353.841\tvalid_0's l2: 449.187\n",
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      "[3607]\ttraining's l2: 353.759\tvalid_0's l2: 449.21\n",
      "[3608]\ttraining's l2: 353.733\tvalid_0's l2: 449.197\n",
      "[3609]\ttraining's l2: 353.701\tvalid_0's l2: 449.184\n",
      "[3610]\ttraining's l2: 353.686\tvalid_0's l2: 449.177\n",
      "[3611]\ttraining's l2: 353.624\tvalid_0's l2: 449.211\n",
      "[3612]\ttraining's l2: 353.607\tvalid_0's l2: 449.2\n",
      "[3613]\ttraining's l2: 353.571\tvalid_0's l2: 449.192\n",
      "[3614]\ttraining's l2: 353.527\tvalid_0's l2: 449.187\n",
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      "[3627]\ttraining's l2: 353.054\tvalid_0's l2: 448.959\n",
      "[3628]\ttraining's l2: 353.021\tvalid_0's l2: 448.932\n",
      "[3629]\ttraining's l2: 352.994\tvalid_0's l2: 448.899\n",
      "[3630]\ttraining's l2: 352.957\tvalid_0's l2: 448.868\n",
      "[3631]\ttraining's l2: 352.908\tvalid_0's l2: 448.835\n",
      "[3632]\ttraining's l2: 352.886\tvalid_0's l2: 448.815\n",
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      "[3634]\ttraining's l2: 352.81\tvalid_0's l2: 448.779\n",
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      "[3637]\ttraining's l2: 352.723\tvalid_0's l2: 448.767\n",
      "[3638]\ttraining's l2: 352.701\tvalid_0's l2: 448.748\n",
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      "[3641]\ttraining's l2: 352.605\tvalid_0's l2: 448.682\n",
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      "[3667]\ttraining's l2: 351.745\tvalid_0's l2: 448.193\n",
      "[3668]\ttraining's l2: 351.682\tvalid_0's l2: 448.167\n",
      "[3669]\ttraining's l2: 351.636\tvalid_0's l2: 448.143\n",
      "[3670]\ttraining's l2: 351.62\tvalid_0's l2: 448.134\n",
      "[3671]\ttraining's l2: 351.596\tvalid_0's l2: 448.117\n",
      "[3672]\ttraining's l2: 351.544\tvalid_0's l2: 448.086\n",
      "[3673]\ttraining's l2: 351.516\tvalid_0's l2: 448.076\n",
      "[3674]\ttraining's l2: 351.46\tvalid_0's l2: 448.076\n",
      "[3675]\ttraining's l2: 351.398\tvalid_0's l2: 448.036\n",
      "[3676]\ttraining's l2: 351.365\tvalid_0's l2: 448.007\n",
      "[3677]\ttraining's l2: 351.339\tvalid_0's l2: 447.991\n",
      "[3678]\ttraining's l2: 351.311\tvalid_0's l2: 447.979\n",
      "[3679]\ttraining's l2: 351.289\tvalid_0's l2: 447.963\n",
      "[3680]\ttraining's l2: 351.266\tvalid_0's l2: 447.943\n",
      "[3681]\ttraining's l2: 351.209\tvalid_0's l2: 447.915\n",
      "[3682]\ttraining's l2: 351.18\tvalid_0's l2: 447.889\n",
      "[3683]\ttraining's l2: 351.151\tvalid_0's l2: 447.881\n",
      "[3684]\ttraining's l2: 351.124\tvalid_0's l2: 447.86\n",
      "[3685]\ttraining's l2: 351.104\tvalid_0's l2: 447.85\n",
      "[3686]\ttraining's l2: 351.089\tvalid_0's l2: 447.839\n",
      "[3687]\ttraining's l2: 351.068\tvalid_0's l2: 447.825\n",
      "[3688]\ttraining's l2: 351.052\tvalid_0's l2: 447.817\n",
      "[3689]\ttraining's l2: 351.039\tvalid_0's l2: 447.805\n",
      "[3690]\ttraining's l2: 351.011\tvalid_0's l2: 447.793\n",
      "[3691]\ttraining's l2: 350.978\tvalid_0's l2: 447.758\n",
      "[3692]\ttraining's l2: 350.956\tvalid_0's l2: 447.746\n",
      "[3693]\ttraining's l2: 350.901\tvalid_0's l2: 447.747\n",
      "[3694]\ttraining's l2: 350.874\tvalid_0's l2: 447.719\n",
      "[3695]\ttraining's l2: 350.808\tvalid_0's l2: 447.662\n",
      "[3696]\ttraining's l2: 350.744\tvalid_0's l2: 447.651\n",
      "[3697]\ttraining's l2: 350.676\tvalid_0's l2: 447.633\n",
      "[3698]\ttraining's l2: 350.604\tvalid_0's l2: 447.593\n",
      "[3699]\ttraining's l2: 350.563\tvalid_0's l2: 447.576\n",
      "[3700]\ttraining's l2: 350.522\tvalid_0's l2: 447.548\n",
      "[3701]\ttraining's l2: 350.5\tvalid_0's l2: 447.525\n",
      "[3702]\ttraining's l2: 350.442\tvalid_0's l2: 447.494\n",
      "[3703]\ttraining's l2: 350.397\tvalid_0's l2: 447.487\n",
      "[3704]\ttraining's l2: 350.363\tvalid_0's l2: 447.474\n",
      "[3705]\ttraining's l2: 350.337\tvalid_0's l2: 447.458\n",
      "[3706]\ttraining's l2: 350.313\tvalid_0's l2: 447.441\n",
      "[3707]\ttraining's l2: 350.267\tvalid_0's l2: 447.431\n",
      "[3708]\ttraining's l2: 350.215\tvalid_0's l2: 447.444\n",
      "[3709]\ttraining's l2: 350.141\tvalid_0's l2: 447.426\n",
      "[3710]\ttraining's l2: 350.093\tvalid_0's l2: 447.416\n",
      "[3711]\ttraining's l2: 350.077\tvalid_0's l2: 447.403\n",
      "[3712]\ttraining's l2: 350.055\tvalid_0's l2: 447.387\n",
      "[3713]\ttraining's l2: 350.005\tvalid_0's l2: 447.344\n",
      "[3714]\ttraining's l2: 349.991\tvalid_0's l2: 447.335\n",
      "[3715]\ttraining's l2: 349.948\tvalid_0's l2: 447.333\n",
      "[3716]\ttraining's l2: 349.932\tvalid_0's l2: 447.327\n",
      "[3717]\ttraining's l2: 349.92\tvalid_0's l2: 447.319\n",
      "[3718]\ttraining's l2: 349.864\tvalid_0's l2: 447.265\n",
      "[3719]\ttraining's l2: 349.823\tvalid_0's l2: 447.24\n",
      "[3720]\ttraining's l2: 349.779\tvalid_0's l2: 447.204\n",
      "[3721]\ttraining's l2: 349.762\tvalid_0's l2: 447.189\n",
      "[3722]\ttraining's l2: 349.676\tvalid_0's l2: 447.157\n",
      "[3723]\ttraining's l2: 349.665\tvalid_0's l2: 447.147\n",
      "[3724]\ttraining's l2: 349.651\tvalid_0's l2: 447.135\n",
      "[3725]\ttraining's l2: 349.623\tvalid_0's l2: 447.132\n",
      "[3726]\ttraining's l2: 349.599\tvalid_0's l2: 447.114\n",
      "[3727]\ttraining's l2: 349.563\tvalid_0's l2: 447.109\n",
      "[3728]\ttraining's l2: 349.528\tvalid_0's l2: 447.097\n",
      "[3729]\ttraining's l2: 349.494\tvalid_0's l2: 447.083\n",
      "[3730]\ttraining's l2: 349.417\tvalid_0's l2: 447.015\n",
      "[3731]\ttraining's l2: 349.396\tvalid_0's l2: 447.004\n",
      "[3732]\ttraining's l2: 349.362\tvalid_0's l2: 446.998\n",
      "[3733]\ttraining's l2: 349.313\tvalid_0's l2: 446.985\n",
      "[3734]\ttraining's l2: 349.279\tvalid_0's l2: 446.965\n",
      "[3735]\ttraining's l2: 349.208\tvalid_0's l2: 446.911\n",
      "[3736]\ttraining's l2: 349.158\tvalid_0's l2: 446.887\n",
      "[3737]\ttraining's l2: 349.106\tvalid_0's l2: 446.889\n",
      "[3738]\ttraining's l2: 349.063\tvalid_0's l2: 446.89\n",
      "[3739]\ttraining's l2: 349.032\tvalid_0's l2: 446.886\n",
      "[3740]\ttraining's l2: 348.984\tvalid_0's l2: 446.858\n",
      "[3741]\ttraining's l2: 348.952\tvalid_0's l2: 446.836\n",
      "[3742]\ttraining's l2: 348.894\tvalid_0's l2: 446.805\n",
      "[3743]\ttraining's l2: 348.867\tvalid_0's l2: 446.788\n",
      "[3744]\ttraining's l2: 348.829\tvalid_0's l2: 446.774\n",
      "[3745]\ttraining's l2: 348.798\tvalid_0's l2: 446.753\n",
      "[3746]\ttraining's l2: 348.759\tvalid_0's l2: 446.737\n",
      "[3747]\ttraining's l2: 348.727\tvalid_0's l2: 446.727\n",
      "[3748]\ttraining's l2: 348.69\tvalid_0's l2: 446.701\n",
      "[3749]\ttraining's l2: 348.661\tvalid_0's l2: 446.692\n",
      "[3750]\ttraining's l2: 348.641\tvalid_0's l2: 446.68\n",
      "[3751]\ttraining's l2: 348.608\tvalid_0's l2: 446.689\n",
      "[3752]\ttraining's l2: 348.589\tvalid_0's l2: 446.699\n",
      "[3753]\ttraining's l2: 348.558\tvalid_0's l2: 446.713\n",
      "[3754]\ttraining's l2: 348.509\tvalid_0's l2: 446.677\n",
      "[3755]\ttraining's l2: 348.487\tvalid_0's l2: 446.666\n",
      "[3756]\ttraining's l2: 348.449\tvalid_0's l2: 446.663\n",
      "[3757]\ttraining's l2: 348.422\tvalid_0's l2: 446.641\n",
      "[3758]\ttraining's l2: 348.401\tvalid_0's l2: 446.617\n",
      "[3759]\ttraining's l2: 348.387\tvalid_0's l2: 446.604\n",
      "[3760]\ttraining's l2: 348.379\tvalid_0's l2: 446.596\n",
      "[3761]\ttraining's l2: 348.335\tvalid_0's l2: 446.578\n",
      "[3762]\ttraining's l2: 348.305\tvalid_0's l2: 446.546\n",
      "[3763]\ttraining's l2: 348.271\tvalid_0's l2: 446.524\n",
      "[3764]\ttraining's l2: 348.247\tvalid_0's l2: 446.502\n",
      "[3765]\ttraining's l2: 348.196\tvalid_0's l2: 446.5\n",
      "[3766]\ttraining's l2: 348.176\tvalid_0's l2: 446.49\n",
      "[3767]\ttraining's l2: 348.117\tvalid_0's l2: 446.483\n",
      "[3768]\ttraining's l2: 348.099\tvalid_0's l2: 446.478\n",
      "[3769]\ttraining's l2: 348.06\tvalid_0's l2: 446.444\n",
      "[3770]\ttraining's l2: 348.038\tvalid_0's l2: 446.435\n",
      "[3771]\ttraining's l2: 347.991\tvalid_0's l2: 446.438\n",
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      "[3773]\ttraining's l2: 347.905\tvalid_0's l2: 446.392\n",
      "[3774]\ttraining's l2: 347.891\tvalid_0's l2: 446.376\n",
      "[3775]\ttraining's l2: 347.836\tvalid_0's l2: 446.339\n",
      "[3776]\ttraining's l2: 347.809\tvalid_0's l2: 446.32\n",
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      "[3781]\ttraining's l2: 347.632\tvalid_0's l2: 446.237\n",
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      "[3783]\ttraining's l2: 347.567\tvalid_0's l2: 446.225\n",
      "[3784]\ttraining's l2: 347.531\tvalid_0's l2: 446.22\n",
      "[3785]\ttraining's l2: 347.498\tvalid_0's l2: 446.193\n",
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      "[3787]\ttraining's l2: 347.429\tvalid_0's l2: 446.163\n",
      "[3788]\ttraining's l2: 347.4\tvalid_0's l2: 446.151\n",
      "[3789]\ttraining's l2: 347.386\tvalid_0's l2: 446.149\n",
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      "[3796]\ttraining's l2: 347.244\tvalid_0's l2: 446.048\n",
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      "[3800]\ttraining's l2: 347.115\tvalid_0's l2: 445.988\n",
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      "[3802]\ttraining's l2: 347.067\tvalid_0's l2: 445.96\n",
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      "[3804]\ttraining's l2: 347.013\tvalid_0's l2: 445.916\n",
      "[3805]\ttraining's l2: 346.993\tvalid_0's l2: 445.899\n",
      "[3806]\ttraining's l2: 346.951\tvalid_0's l2: 445.873\n",
      "[3807]\ttraining's l2: 346.941\tvalid_0's l2: 445.861\n",
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      "[3809]\ttraining's l2: 346.909\tvalid_0's l2: 445.831\n",
      "[3810]\ttraining's l2: 346.892\tvalid_0's l2: 445.827\n",
      "[3811]\ttraining's l2: 346.868\tvalid_0's l2: 445.814\n",
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      "[3817]\ttraining's l2: 346.699\tvalid_0's l2: 445.752\n",
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      "[3927]\ttraining's l2: 342.788\tvalid_0's l2: 443.987\n",
      "[3928]\ttraining's l2: 342.751\tvalid_0's l2: 443.962\n",
      "[3929]\ttraining's l2: 342.721\tvalid_0's l2: 443.942\n",
      "[3930]\ttraining's l2: 342.66\tvalid_0's l2: 443.927\n",
      "[3931]\ttraining's l2: 342.639\tvalid_0's l2: 443.912\n",
      "[3932]\ttraining's l2: 342.631\tvalid_0's l2: 443.905\n",
      "[3933]\ttraining's l2: 342.612\tvalid_0's l2: 443.902\n",
      "[3934]\ttraining's l2: 342.585\tvalid_0's l2: 443.896\n",
      "[3935]\ttraining's l2: 342.539\tvalid_0's l2: 443.892\n",
      "[3936]\ttraining's l2: 342.513\tvalid_0's l2: 443.878\n",
      "[3937]\ttraining's l2: 342.506\tvalid_0's l2: 443.872\n",
      "[3938]\ttraining's l2: 342.475\tvalid_0's l2: 443.858\n",
      "[3939]\ttraining's l2: 342.446\tvalid_0's l2: 443.837\n",
      "[3940]\ttraining's l2: 342.409\tvalid_0's l2: 443.827\n",
      "[3941]\ttraining's l2: 342.372\tvalid_0's l2: 443.819\n",
      "[3942]\ttraining's l2: 342.335\tvalid_0's l2: 443.79\n",
      "[3943]\ttraining's l2: 342.264\tvalid_0's l2: 443.731\n",
      "[3944]\ttraining's l2: 342.207\tvalid_0's l2: 443.718\n",
      "[3945]\ttraining's l2: 342.178\tvalid_0's l2: 443.707\n",
      "[3946]\ttraining's l2: 342.154\tvalid_0's l2: 443.72\n",
      "[3947]\ttraining's l2: 342.131\tvalid_0's l2: 443.703\n",
      "[3948]\ttraining's l2: 342.11\tvalid_0's l2: 443.689\n",
      "[3949]\ttraining's l2: 342.033\tvalid_0's l2: 443.659\n",
      "[3950]\ttraining's l2: 341.979\tvalid_0's l2: 443.657\n",
      "[3951]\ttraining's l2: 341.929\tvalid_0's l2: 443.637\n",
      "[3952]\ttraining's l2: 341.884\tvalid_0's l2: 443.608\n",
      "[3953]\ttraining's l2: 341.82\tvalid_0's l2: 443.579\n",
      "[3954]\ttraining's l2: 341.794\tvalid_0's l2: 443.566\n",
      "[3955]\ttraining's l2: 341.779\tvalid_0's l2: 443.564\n",
      "[3956]\ttraining's l2: 341.721\tvalid_0's l2: 443.54\n",
      "[3957]\ttraining's l2: 341.68\tvalid_0's l2: 443.49\n",
      "[3958]\ttraining's l2: 341.664\tvalid_0's l2: 443.478\n",
      "[3959]\ttraining's l2: 341.626\tvalid_0's l2: 443.462\n",
      "[3960]\ttraining's l2: 341.587\tvalid_0's l2: 443.444\n",
      "[3961]\ttraining's l2: 341.552\tvalid_0's l2: 443.439\n",
      "[3962]\ttraining's l2: 341.516\tvalid_0's l2: 443.42\n",
      "[3963]\ttraining's l2: 341.5\tvalid_0's l2: 443.407\n",
      "[3964]\ttraining's l2: 341.464\tvalid_0's l2: 443.386\n",
      "[3965]\ttraining's l2: 341.433\tvalid_0's l2: 443.368\n",
      "[3966]\ttraining's l2: 341.396\tvalid_0's l2: 443.333\n",
      "[3967]\ttraining's l2: 341.387\tvalid_0's l2: 443.325\n",
      "[3968]\ttraining's l2: 341.325\tvalid_0's l2: 443.314\n",
      "[3969]\ttraining's l2: 341.28\tvalid_0's l2: 443.292\n",
      "[3970]\ttraining's l2: 341.24\tvalid_0's l2: 443.265\n",
      "[3971]\ttraining's l2: 341.203\tvalid_0's l2: 443.241\n",
      "[3972]\ttraining's l2: 341.187\tvalid_0's l2: 443.227\n",
      "[3973]\ttraining's l2: 341.155\tvalid_0's l2: 443.22\n",
      "[3974]\ttraining's l2: 341.114\tvalid_0's l2: 443.183\n",
      "[3975]\ttraining's l2: 341.093\tvalid_0's l2: 443.168\n",
      "[3976]\ttraining's l2: 341.049\tvalid_0's l2: 443.144\n",
      "[3977]\ttraining's l2: 341.017\tvalid_0's l2: 443.141\n",
      "[3978]\ttraining's l2: 340.987\tvalid_0's l2: 443.116\n",
      "[3979]\ttraining's l2: 340.948\tvalid_0's l2: 443.103\n",
      "[3980]\ttraining's l2: 340.903\tvalid_0's l2: 443.098\n",
      "[3981]\ttraining's l2: 340.867\tvalid_0's l2: 443.077\n",
      "[3982]\ttraining's l2: 340.845\tvalid_0's l2: 443.067\n",
      "[3983]\ttraining's l2: 340.823\tvalid_0's l2: 443.056\n",
      "[3984]\ttraining's l2: 340.788\tvalid_0's l2: 443.019\n",
      "[3985]\ttraining's l2: 340.753\tvalid_0's l2: 443.015\n",
      "[3986]\ttraining's l2: 340.723\tvalid_0's l2: 443.005\n",
      "[3987]\ttraining's l2: 340.694\tvalid_0's l2: 443.002\n",
      "[3988]\ttraining's l2: 340.682\tvalid_0's l2: 442.998\n",
      "[3989]\ttraining's l2: 340.632\tvalid_0's l2: 442.985\n",
      "[3990]\ttraining's l2: 340.56\tvalid_0's l2: 442.956\n",
      "[3991]\ttraining's l2: 340.5\tvalid_0's l2: 442.926\n",
      "[3992]\ttraining's l2: 340.461\tvalid_0's l2: 442.906\n",
      "[3993]\ttraining's l2: 340.429\tvalid_0's l2: 442.909\n",
      "[3994]\ttraining's l2: 340.374\tvalid_0's l2: 442.919\n",
      "[3995]\ttraining's l2: 340.343\tvalid_0's l2: 442.939\n",
      "[3996]\ttraining's l2: 340.325\tvalid_0's l2: 442.929\n",
      "[3997]\ttraining's l2: 340.308\tvalid_0's l2: 442.919\n",
      "[3998]\ttraining's l2: 340.29\tvalid_0's l2: 442.904\n",
      "[3999]\ttraining's l2: 340.222\tvalid_0's l2: 442.889\n",
      "[4000]\ttraining's l2: 340.19\tvalid_0's l2: 442.874\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LGBMRegressor(min_child_samples=30, n_estimators=4000, subsample=0.3)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(xtrain,ytrain,eval_set=[(xtest,ytest),(xtrain,ytrain)], verbose=1, early_stopping_rounds=100)\n",
    "#model.fit(xtrain, ytrain, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "97488f95",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:24:48.431730Z",
     "iopub.status.busy": "2022-03-08T12:24:48.430937Z",
     "iopub.status.idle": "2022-03-08T12:24:48.434928Z",
     "shell.execute_reply": "2022-03-08T12:24:48.435554Z",
     "shell.execute_reply.started": "2022-03-07T00:16:23.104179Z"
    },
    "papermill": {
     "duration": 0.585841,
     "end_time": "2022-03-08T12:24:48.435713",
     "exception": false,
     "start_time": "2022-03-08T12:24:47.849872",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "defaultdict(collections.OrderedDict,\n",
       "            {'training': OrderedDict([('l2', 340.19023505399844)]),\n",
       "             'valid_0': OrderedDict([('l2', 442.87356226938124)])})"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "024502f6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:24:49.610483Z",
     "iopub.status.busy": "2022-03-08T12:24:49.609290Z",
     "iopub.status.idle": "2022-03-08T12:26:06.048551Z",
     "shell.execute_reply": "2022-03-08T12:26:06.049637Z",
     "shell.execute_reply.started": "2022-03-07T00:16:23.116451Z"
    },
    "papermill": {
     "duration": 77.044863,
     "end_time": "2022-03-08T12:26:06.049864",
     "exception": false,
     "start_time": "2022-03-08T12:24:49.005001",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model_pred = model.predict(xtest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "dffdb7d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:26:07.222942Z",
     "iopub.status.busy": "2022-03-08T12:26:07.221911Z",
     "iopub.status.idle": "2022-03-08T12:26:07.248649Z",
     "shell.execute_reply": "2022-03-08T12:26:07.249241Z",
     "shell.execute_reply.started": "2022-03-07T00:17:41.43157Z"
    },
    "papermill": {
     "duration": 0.601212,
     "end_time": "2022-03-08T12:26:07.249416",
     "exception": false,
     "start_time": "2022-03-08T12:26:06.648204",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE= 6.42624329759986\n",
      "MSE= 442.8735622693809\n",
      "RMSE= 21.044561346566027\n",
      "R2_score 0.9828441423902183\n"
     ]
    }
   ],
   "source": [
    "print(\"MAE=\",mean_absolute_error(ytest, model_pred))\n",
    "print(\"MSE=\",mean_squared_error(ytest, model_pred))\n",
    "print(\"RMSE=\",np.sqrt(mean_squared_error(ytest, model_pred)))\n",
    "print(\"R2_score\",r2_score(ytest, model_pred))\n",
    "#print('Adjusted Rsquare',1 - (1-model.score(X, y))*(len(y)-1)/(len(y)-X.shape[1]-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2e1d3e9c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:26:08.388483Z",
     "iopub.status.busy": "2022-03-08T12:26:08.387691Z",
     "iopub.status.idle": "2022-03-08T12:26:13.738400Z",
     "shell.execute_reply": "2022-03-08T12:26:13.737675Z",
     "shell.execute_reply.started": "2022-03-07T00:17:41.469837Z"
    },
    "papermill": {
     "duration": 5.925135,
     "end_time": "2022-03-08T12:26:13.738541",
     "exception": false,
     "start_time": "2022-03-08T12:26:07.813406",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import BatchNormalization\n",
    "from tensorflow.keras.layers import Conv2D\n",
    "from tensorflow.keras.layers import MaxPooling2D\n",
    "from tensorflow.keras.layers import Activation\n",
    "from tensorflow.keras.layers import Dropout\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras.layers import Flatten\n",
    "from tensorflow.keras.layers import Input\n",
    "from tensorflow.keras.optimizers import Adam, SGD, Adamax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1ccb4574",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:26:14.895939Z",
     "iopub.status.busy": "2022-03-08T12:26:14.895102Z",
     "iopub.status.idle": "2022-03-08T12:26:14.897761Z",
     "shell.execute_reply": "2022-03-08T12:26:14.897222Z",
     "shell.execute_reply.started": "2022-03-07T00:17:48.133129Z"
    },
    "papermill": {
     "duration": 0.585963,
     "end_time": "2022-03-08T12:26:14.897894",
     "exception": false,
     "start_time": "2022-03-08T12:26:14.311931",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def create_mlp(dim, regress=False):\n",
    "    model = Sequential()\n",
    "    model.add(Dense(16, input_dim=dim, activation='relu'))\n",
    "    model.add(Dense(64, activation='relu'))\n",
    "    model.add(Dense(16, input_dim=dim, activation='relu'))\n",
    "    model.add(Dense(64, activation='relu'))\n",
    "\n",
    "    if regress:\n",
    "        model.add(Dense(2, activation=\"linear\"))\n",
    "\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9036519f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:26:16.059681Z",
     "iopub.status.busy": "2022-03-08T12:26:16.057424Z",
     "iopub.status.idle": "2022-03-08T12:26:16.183439Z",
     "shell.execute_reply": "2022-03-08T12:26:16.183938Z",
     "shell.execute_reply.started": "2022-03-07T00:17:48.142215Z"
    },
    "papermill": {
     "duration": 0.713403,
     "end_time": "2022-03-08T12:26:16.184124",
     "exception": false,
     "start_time": "2022-03-08T12:26:15.470721",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-03-08 12:26:16.093129: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n"
     ]
    }
   ],
   "source": [
    "model = create_mlp(xtrain.shape[1], regress=True)\n",
    "opt = Adam(learning_rate=1e-3, decay=1e-3 / 200)\n",
    "model.compile(loss='mean_squared_error', optimizer=opt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "55e188ae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-08T12:26:17.345014Z",
     "iopub.status.busy": "2022-03-08T12:26:17.344406Z",
     "iopub.status.idle": "2022-03-08T12:35:16.766502Z",
     "shell.execute_reply": "2022-03-08T12:35:16.766047Z",
     "shell.execute_reply.started": "2022-03-07T00:17:48.325985Z"
    },
    "papermill": {
     "duration": 539.998326,
     "end_time": "2022-03-08T12:35:16.766646",
     "exception": false,
     "start_time": "2022-03-08T12:26:16.768320",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-03-08 12:26:17.951312: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 12822.3877 - val_loss: 8069.6177\n",
      "Epoch 2/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 7703.0747 - val_loss: 8308.8604\n",
      "Epoch 3/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 7219.8071 - val_loss: 6837.2197\n",
      "Epoch 4/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 6981.3677 - val_loss: 6690.4282\n",
      "Epoch 5/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 6786.7710 - val_loss: 6511.1152\n",
      "Epoch 6/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 6669.3062 - val_loss: 6984.0044\n",
      "Epoch 7/100\n",
      "822/822 [==============================] - 5s 7ms/step - loss: 6509.3579 - val_loss: 6274.4478\n",
      "Epoch 8/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 6396.9185 - val_loss: 6141.3843\n",
      "Epoch 9/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 6239.6626 - val_loss: 6218.7817\n",
      "Epoch 10/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 6141.8076 - val_loss: 5998.9082\n",
      "Epoch 11/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 6046.8657 - val_loss: 5920.2695\n",
      "Epoch 12/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 5957.2246 - val_loss: 5759.5693\n",
      "Epoch 13/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5896.6880 - val_loss: 5755.0132\n",
      "Epoch 14/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5826.3076 - val_loss: 5794.9902\n",
      "Epoch 15/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5742.2300 - val_loss: 5761.0488\n",
      "Epoch 16/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5680.5137 - val_loss: 6125.7642\n",
      "Epoch 17/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 5617.0381 - val_loss: 5395.3179\n",
      "Epoch 18/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 5571.0430 - val_loss: 5501.9409\n",
      "Epoch 19/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5534.3413 - val_loss: 5306.8276\n",
      "Epoch 20/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5480.8828 - val_loss: 5286.1968\n",
      "Epoch 21/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5454.7266 - val_loss: 5411.1748\n",
      "Epoch 22/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5396.4834 - val_loss: 5397.1143\n",
      "Epoch 23/100\n",
      "822/822 [==============================] - 5s 7ms/step - loss: 5364.5620 - val_loss: 5306.8457\n",
      "Epoch 24/100\n",
      "822/822 [==============================] - 6s 8ms/step - loss: 5352.7974 - val_loss: 5325.9302\n",
      "Epoch 25/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5297.5977 - val_loss: 5123.8452\n",
      "Epoch 26/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5249.8999 - val_loss: 5124.1528\n",
      "Epoch 27/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5213.6924 - val_loss: 5091.5713\n",
      "Epoch 28/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5157.2119 - val_loss: 5272.2227\n",
      "Epoch 29/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5148.8506 - val_loss: 5088.0801\n",
      "Epoch 30/100\n",
      "822/822 [==============================] - 6s 8ms/step - loss: 5122.9995 - val_loss: 5271.4023\n",
      "Epoch 31/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5080.8940 - val_loss: 4964.7061\n",
      "Epoch 32/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5079.8354 - val_loss: 5000.5913\n",
      "Epoch 33/100\n",
      "822/822 [==============================] - 5s 7ms/step - loss: 5043.3159 - val_loss: 4948.0181\n",
      "Epoch 34/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5030.3584 - val_loss: 4845.7266\n",
      "Epoch 35/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 5016.5776 - val_loss: 4995.2861\n",
      "Epoch 36/100\n",
      "822/822 [==============================] - 6s 8ms/step - loss: 5001.1440 - val_loss: 5215.5078\n",
      "Epoch 37/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4955.7256 - val_loss: 4971.0107\n",
      "Epoch 38/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4950.4517 - val_loss: 4868.7925\n",
      "Epoch 39/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4924.1299 - val_loss: 4849.3071\n",
      "Epoch 40/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4932.1265 - val_loss: 4907.6177\n",
      "Epoch 41/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4886.1797 - val_loss: 4922.5850\n",
      "Epoch 42/100\n",
      "822/822 [==============================] - 6s 8ms/step - loss: 4877.9014 - val_loss: 4789.7793\n",
      "Epoch 43/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4865.3037 - val_loss: 4806.5659\n",
      "Epoch 44/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4824.6763 - val_loss: 4743.8628\n",
      "Epoch 45/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4812.8198 - val_loss: 4939.8818\n",
      "Epoch 46/100\n",
      "822/822 [==============================] - 5s 7ms/step - loss: 4809.6162 - val_loss: 4753.6455\n",
      "Epoch 47/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4784.6011 - val_loss: 4662.3140\n",
      "Epoch 48/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4766.1279 - val_loss: 4677.0283\n",
      "Epoch 49/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4769.3154 - val_loss: 4629.8345\n",
      "Epoch 50/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4722.8530 - val_loss: 4892.3501\n",
      "Epoch 51/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4685.9204 - val_loss: 4636.2002\n",
      "Epoch 52/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4710.1357 - val_loss: 4577.6831\n",
      "Epoch 53/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4684.7954 - val_loss: 4642.4824\n",
      "Epoch 54/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4638.4834 - val_loss: 4640.2881\n",
      "Epoch 55/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4659.1689 - val_loss: 4636.3081\n",
      "Epoch 56/100\n",
      "822/822 [==============================] - 5s 7ms/step - loss: 4628.8701 - val_loss: 4545.2959\n",
      "Epoch 57/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4622.8115 - val_loss: 4514.2178\n",
      "Epoch 58/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4622.3159 - val_loss: 4536.3555\n",
      "Epoch 59/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4583.2646 - val_loss: 4802.9536\n",
      "Epoch 60/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4572.7920 - val_loss: 4469.2725\n",
      "Epoch 61/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4573.8384 - val_loss: 4736.0234\n",
      "Epoch 62/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4537.3472 - val_loss: 4419.2427\n",
      "Epoch 63/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4557.6318 - val_loss: 4475.3657\n",
      "Epoch 64/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4520.1558 - val_loss: 4435.6895\n",
      "Epoch 65/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4502.2197 - val_loss: 4440.6987\n",
      "Epoch 66/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4519.4131 - val_loss: 4459.5288\n",
      "Epoch 67/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4490.6846 - val_loss: 4344.1045\n",
      "Epoch 68/100\n",
      "822/822 [==============================] - 5s 7ms/step - loss: 4477.5547 - val_loss: 4480.0703\n",
      "Epoch 69/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4464.7207 - val_loss: 4415.4829\n",
      "Epoch 70/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4460.5000 - val_loss: 4494.5972\n",
      "Epoch 71/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4429.7388 - val_loss: 4355.8076\n",
      "Epoch 72/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4447.3843 - val_loss: 4530.5933\n",
      "Epoch 73/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4396.0527 - val_loss: 4292.6123\n",
      "Epoch 74/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4407.2969 - val_loss: 4427.8154\n",
      "Epoch 75/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4412.4902 - val_loss: 4356.2056\n",
      "Epoch 76/100\n",
      "822/822 [==============================] - 5s 7ms/step - loss: 4394.4692 - val_loss: 4277.7563\n",
      "Epoch 77/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4373.9780 - val_loss: 4256.3335\n",
      "Epoch 78/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4380.7446 - val_loss: 4428.5508\n",
      "Epoch 79/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4369.8301 - val_loss: 4261.9048\n",
      "Epoch 80/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4358.3403 - val_loss: 4362.1338\n",
      "Epoch 81/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4347.6372 - val_loss: 4490.5986\n",
      "Epoch 82/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4334.8276 - val_loss: 4223.2524\n",
      "Epoch 83/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4328.7690 - val_loss: 4353.6396\n",
      "Epoch 84/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4302.0542 - val_loss: 4383.0054\n",
      "Epoch 85/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4298.3657 - val_loss: 4154.8433\n",
      "Epoch 86/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4293.4526 - val_loss: 4385.8184\n",
      "Epoch 87/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4282.0786 - val_loss: 4397.4121\n",
      "Epoch 88/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4254.8745 - val_loss: 4251.0518\n",
      "Epoch 89/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4263.7944 - val_loss: 4144.5229\n",
      "Epoch 90/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4240.0918 - val_loss: 4814.7456\n",
      "Epoch 91/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4242.9888 - val_loss: 4178.2002\n",
      "Epoch 92/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4211.9941 - val_loss: 4256.0015\n",
      "Epoch 93/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4224.7480 - val_loss: 4164.7559\n",
      "Epoch 94/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4189.1880 - val_loss: 4123.6206\n",
      "Epoch 95/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4188.3989 - val_loss: 4119.7568\n",
      "Epoch 96/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4186.4604 - val_loss: 4178.8989\n",
      "Epoch 97/100\n",
      "822/822 [==============================] - 6s 7ms/step - loss: 4174.3892 - val_loss: 4064.3120\n",
      "Epoch 98/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4154.0996 - val_loss: 4058.4133\n",
      "Epoch 99/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4134.5107 - val_loss: 4109.8789\n",
      "Epoch 100/100\n",
      "822/822 [==============================] - 5s 6ms/step - loss: 4151.5312 - val_loss: 4152.2720\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f32ae134fd0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x=xtrain, y=ytrain,\n",
    "            validation_data = (xtest, ytest),\n",
    "            epochs=100, batch_size=4096)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78081320",
   "metadata": {
    "papermill": {
     "duration": 3.853049,
     "end_time": "2022-03-08T12:35:24.437796",
     "exception": false,
     "start_time": "2022-03-08T12:35:20.584747",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
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