{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","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 in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Batch process the train data for feature engieering"},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom tqdm import tqdm\n%matplotlib inline","execution_count":2,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"> filetrain = pd.read_csv('train.csv',chunksize=4096)"},{"metadata":{"trusted":true},"cell_type":"code","source":"from scipy.stats import moment\n\ndef getQuantileAray():\n    l = [a  for a in np.arange(0.01,0.10,0.01)]\n    m = [a  for a in np.arange(0.9,1.0,0.01)]\n    return l+m\n\ndef preprocessData(df):\n    #gets a aray of data and returns\n    mean = df.mean()     \n    skew = df.skew()    \n    kurtosis = df.kurtosis()\n    df_norm = (df - df.mean())/df.std()\n    mean_norm = df_norm.mean()\n    skew_norm = df_norm.skew()\n    kurtosis_norm = df_norm.kurtosis()\n    min_val = df_norm.min()\n    max_val = df_norm.max()\n    quant_arr = getQuantileAray() \n    df_ret = pd.DataFrame({'Mean':mean,'skew':skew,'kurtosis':kurtosis,\n                           'mean_norm':mean_norm,'mean_skew':skew_norm,\n                            'kurtoris_norm':kurtosis_norm,\n                            'min':min_val,'max':max_val}, index=[0])\n    for i,val in enumerate(quant_arr):\n        df_ret['percent'+ str(i)] = df_norm.quantile(val)\n      #  print(val,df.quantile(val))\n    df_ret['moment'] = moment(df_norm)\n    return df_ret   ","execution_count":65,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"filetrain = pd.read_csv('../input/train.csv',chunksize=4096)","execution_count":57,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"numrow = 0\ncount = 0\nfor df in tqdm(filetrain):\n    temp = preprocessData(df['acoustic_data'])\n    temp['target'] = df.time_to_failure.mean()\n    if count == 0:\n        df_new = temp\n    else:\n        \n        df_new = df_new.append(temp)\n        \n    count += 1\n    if count > 5000:\n        break\n\ndf_new","execution_count":66,"outputs":[{"output_type":"stream","text":"\n\n\n\n\n\n\n\n\n0it [00:00, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n5it [00:00, 49.79it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n10it [00:00, 49.07it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n15it [00:00, 49.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n21it [00:00, 49.46it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n26it [00:00, 49.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n31it [00:00, 48.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n37it [00:00, 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6.173889\n0   4.710205  0.038083    0.200447    ...      2.349218     0.0  6.172790\n0   4.533447  0.111127    1.765647    ...      2.407944     0.0  6.171789\n0   4.601074  0.055417    0.201634    ...      2.233412     0.0  6.170689\n0   4.453613  0.101704    1.660484    ...      2.515796     0.0  6.169590\n0   4.697754 -0.022219    0.237928    ...      2.318140     0.0  6.168589\n0   4.827148  0.104657    7.762388    ...      3.386360     0.0  6.167489\n0   4.956787 -0.101066    2.731227    ...      2.808055     0.0  6.166390\n0   4.923096 -0.150711    1.184321    ...      2.506542     0.0  6.165389\n0   5.066650  0.001014    3.540592    ...      2.817088     0.0  6.164289\n0   4.748535  0.113415    1.584496    ...      2.730441     0.0  6.163190\n0   4.851562 -0.233673    2.815948    ...      2.572927     0.0  6.162189\n0   4.634277  0.082610   10.682102    ...      3.275246     0.0  6.161090\n0   4.936768  0.020994    0.264062    ...      2.271174     0.0  6.160089\n0   4.965332  0.144709    3.155187    ...      2.761260     0.0  6.158989\n0   4.858154  0.123615    2.773010    ...      3.049237     0.0  6.157890\n0   4.974365 -0.175194    1.712293    ...      2.496577     0.0  6.156889\n0   4.975342  0.272052   12.031465    ...      3.660166     0.0  6.155789\n0   5.016602 -0.258045    2.570455    ...      2.656237     0.0  6.154690\n0   4.918701  0.086712    3.185681    ...      2.920223     0.0  6.153689\n0   4.850586  0.175036    5.720930    ...      3.104464     0.0  6.152589\n0   5.010254 -0.285995   10.055259    ...      3.278625     0.0  6.151490\n0   5.042725 -0.335958   11.624715    ...      2.978162     0.0  6.150489\n0   4.954346 -0.222881   12.112573    ...      3.231760     0.0  6.149389\n..       ...       ...         ...    ...           ...     ...       ...\n0   4.609375 -0.152917   11.228677    ...      3.057328     0.0  0.891188\n0   4.640137  0.063797    1.884675    ...      2.611666     0.0  0.890088\n0   4.477051  0.028644    0.233515    ...      2.344917     0.0  0.888989\n0   4.354980  0.068566    3.287386    ...      2.561958     0.0  0.887988\n0   4.254150  0.072973    3.677404    ...      2.588255     0.0  0.886888\n0   4.393311  0.019028    5.208311    ...      2.999331     0.0  0.885789\n0   4.353760  0.093481    0.643155    ...      2.598995     0.0  0.884788\n0   4.098633  0.032170    0.260630    ...      2.547883     0.0  0.883688\n0   4.511963  0.054175    4.344874    ...      3.117438     0.0  0.882589\n0   4.657471  0.015631    1.354309    ...      2.342098     0.0  0.881588\n0   4.858643  0.093778    0.609755    ...      2.432029     0.0  0.880489\n0   4.860352  0.066367    0.374025    ...      2.487326     0.0  0.879488\n0   4.917480 -0.062333    0.171841    ...      2.364400     0.0  0.878388\n0   4.670654  0.018467    0.006407    ...      2.187934     0.0  0.877289\n0   4.641357  1.885921  106.384827    ...      1.621807     0.0  0.876288\n0   4.776123 -0.293327    6.338200    ...      3.073410     0.0  0.875188\n0   4.780029 -0.290076   10.391430    ...      3.159079     0.0  0.874089\n0   4.606689  0.028741    0.266901    ...      2.477714     0.0  0.873088\n0   4.546387 -0.061118    2.563047    ...      2.807722     0.0  0.871988\n0   4.556885 -0.647938   24.877135    ...      3.429343     0.0  0.870889\n0   4.556885  0.405074   11.725823    ...      2.964574     0.0  0.869888\n0   4.458740 -0.331399    8.809173    ...      3.172370     0.0  0.868788\n0   4.499268  0.089230    0.858487    ...      2.397386     0.0  0.867689\n0   4.524170  0.074013    0.550374    ...      2.539247     0.0  0.866688\n0   4.553467  0.000631    4.818785    ...      3.067231     0.0  0.865589\n0   4.212158 -0.044662    8.359643    ...      2.808876     0.0  0.864588\n0   4.776855 -0.189213   12.877045    ...      3.725156     0.0  0.863488\n0   4.778320  0.218628    3.423007    ...      2.817402     0.0  0.862389\n0   4.673096 -0.082496   15.290941    ...      3.821962     0.0  0.861388\n0   4.778076  0.072374    7.294380    ...      2.919249     0.0  0.860288\n\n[5001 rows x 29 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Mean</th>\n      <th>skew</th>\n      <th>kurtosis</th>\n      <th>mean_norm</th>\n      <th>mean_skew</th>\n      <th>kurtoris_norm</th>\n      <th>min</th>\n      <th>max</th>\n      <th>percent0</th>\n      <th>percent1</th>\n      <th>percent2</th>\n      <th>percent3</th>\n      <th>percent4</th>\n      <th>percent5</th>\n      <th>percent6</th>\n      <th>percent7</th>\n      <th>percent8</th>\n      <th>percent9</th>\n      <th>percent10</th>\n      <th>percent11</th>\n      <th>percent12</th>\n      <th>percent13</th>\n      <th>percent14</th>\n      <th>percent15</th>\n      <th>percent16</th>\n      <th>percent17</th>\n      <th>percent18</th>\n      <th>moment</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>4.984863</td>\n      <td>-0.001878</td>\n      <td>1.375013</td>\n      <td>3.501973e-16</td>\n      <td>-0.001878</td>\n      <td>1.375013</td>\n      <td>-4.527444</td>\n      <td>4.533158</td>\n      <td>-2.639818</td>\n      <td>-2.262293</td>\n      <td>-2.073531</td>\n      <td>-1.884768</td>\n      <td>-1.696006</td>\n      <td>-1.507243</td>\n      <td>-1.507243</td>\n      <td>-1.318481</td>\n      <td>-1.318481</td>\n      <td>1.135432</td>\n      <td>1.324195</td>\n      <td>1.324195</td>\n      <td>1.324195</td>\n      <td>1.512958</td>\n      <td>1.512958</td>\n      <td>1.701720</td>\n      <td>1.890483</td>\n      <td>2.079245</td>\n      <td>2.645533</td>\n      <td>0.0</td>\n      <td>6.180289</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.965332</td>\n      <td>0.639976</td>\n      <td>12.119281</td>\n      <td>1.234635e-17</td>\n      <td>0.639976</td>\n      <td>12.119281</td>\n      <td>-6.570656</td>\n      <td>7.997759</td>\n      <td>-3.218631</td>\n      <td>-2.187239</td>\n      <td>-1.690881</td>\n      <td>-1.413695</td>\n      <td>-1.284771</td>\n      <td>-1.155847</td>\n      <td>-1.026923</td>\n      <td>-1.026923</td>\n      <td>-0.897999</td>\n      <td>0.778014</td>\n      <td>0.906938</td>\n      <td>0.906938</td>\n      <td>1.035862</td>\n      <td>1.074539</td>\n      <td>1.293710</td>\n      <td>1.293710</td>\n      <td>1.551558</td>\n      <td>2.325102</td>\n      <td>3.362940</td>\n      <td>0.0</td>\n      <td>6.179189</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.050781</td>\n      <td>0.392202</td>\n      <td>13.977641</td>\n      <td>-5.792350e-17</td>\n      <td>0.392202</td>\n      <td>13.977641</td>\n      <td>-6.907769</td>\n      <td>9.275589</td>\n      <td>-3.456906</td>\n      <td>-2.623939</td>\n      <td>-2.028962</td>\n      <td>-1.457785</td>\n      <td>-1.195996</td>\n      <td>-0.958005</td>\n      <td>-0.839010</td>\n      <td>-0.767613</td>\n      <td>-0.720014</td>\n      <td>0.707929</td>\n      <td>0.707929</td>\n      <td>0.826924</td>\n      <td>0.945920</td>\n      <td>0.945920</td>\n      <td>1.183910</td>\n      <td>1.421901</td>\n      <td>1.778886</td>\n      <td>2.611853</td>\n      <td>3.450770</td>\n      <td>0.0</td>\n      <td>6.178090</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.034912</td>\n      <td>-0.108482</td>\n      <td>0.517018</td>\n      <td>-6.731540e-17</td>\n      <td>-0.108482</td>\n      <td>0.517018</td>\n      <td>-4.375503</td>\n      <td>4.356450</td>\n      <td>-2.465388</td>\n      <td>-2.192515</td>\n      <td>-1.919641</td>\n      <td>-1.919641</td>\n      <td>-1.646768</td>\n      <td>-1.646768</td>\n      <td>-1.373894</td>\n      <td>-1.373894</td>\n      <td>-1.373894</td>\n      <td>1.354841</td>\n      <td>1.354841</td>\n      <td>1.354841</td>\n      <td>1.354841</td>\n      <td>1.627714</td>\n      <td>1.627714</td>\n      <td>1.627714</td>\n      <td>1.900588</td>\n      <td>1.900588</td>\n      <td>2.446335</td>\n      <td>0.0</td>\n      <td>6.177089</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.925537</td>\n      <td>-0.033172</td>\n      <td>3.551269</td>\n      <td>-5.331564e-17</td>\n      <td>-0.033172</td>\n      <td>3.551269</td>\n      <td>-4.613234</td>\n      <td>5.680983</td>\n      <td>-3.069102</td>\n      <td>-2.039680</td>\n      <td>-1.782325</td>\n      <td>-1.524969</td>\n      <td>-1.524969</td>\n      <td>-1.267614</td>\n      <td>-1.267614</td>\n      <td>-1.267614</td>\n      <td>-1.010258</td>\n      <td>1.048585</td>\n      <td>1.048585</td>\n      <td>1.305941</td>\n      <td>1.305941</td>\n      <td>1.305941</td>\n      <td>1.563296</td>\n      <td>1.563296</td>\n      <td>1.820651</td>\n      <td>2.078007</td>\n      <td>2.850073</td>\n      <td>0.0</td>\n      <td>6.175989</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.032227</td>\n      <td>-0.081261</td>\n      <td>1.295720</td>\n      <td>-1.030534e-16</td>\n      <td>-0.081261</td>\n      <td>1.295720</td>\n      <td>-5.418061</td>\n      <td>4.443239</td>\n      <td>-2.555103</td>\n      <td>-2.236996</td>\n      <td>-1.918890</td>\n      <td>-1.600784</td>\n      <td>-1.600784</td>\n      <td>-1.600784</td>\n      <td>-1.282677</td>\n      <td>-1.282677</td>\n      <td>-1.282677</td>\n      <td>1.262174</td>\n      <td>1.262174</td>\n      <td>1.262174</td>\n      <td>1.580281</td>\n      <td>1.580281</td>\n      <td>1.580281</td>\n      <td>1.580281</td>\n      <td>1.898387</td>\n      <td>1.898387</td>\n      <td>2.534600</td>\n      <td>0.0</td>\n      <td>6.174890</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.022949</td>\n      <td>0.045216</td>\n      <td>6.171373</td>\n      <td>2.263272e-18</td>\n      <td>0.045216</td>\n      <td>6.171373</td>\n      <td>-5.878910</td>\n      <td>6.335658</td>\n      <td>-2.941229</td>\n      <td>-2.322770</td>\n      <td>-1.858926</td>\n      <td>-1.580619</td>\n      <td>-1.395081</td>\n      <td>-1.395081</td>\n      <td>-1.240467</td>\n      <td>-1.085852</td>\n      <td>-1.085852</td>\n      <td>0.924140</td>\n      <td>1.078755</td>\n      <td>1.078755</td>\n      <td>1.233370</td>\n      <td>1.233370</td>\n      <td>1.387985</td>\n      <td>1.542600</td>\n      <td>1.851829</td>\n      <td>2.176520</td>\n      <td>2.934133</td>\n      <td>0.0</td>\n      <td>6.173889</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.710205</td>\n      <td>0.038083</td>\n      <td>0.200447</td>\n      <td>2.011195e-17</td>\n      <td>0.038083</td>\n      <td>0.200447</td>\n      <td>-3.773744</td>\n      <td>3.960524</td>\n      <td>-2.484700</td>\n      <td>-2.162439</td>\n      <td>-1.840177</td>\n      <td>-1.840177</td>\n      <td>-1.517916</td>\n      <td>-1.517916</td>\n      <td>-1.517916</td>\n      <td>-1.517916</td>\n      <td>-1.195655</td>\n      <td>1.382434</td>\n      <td>1.382434</td>\n      <td>1.382434</td>\n      <td>1.382434</td>\n      <td>1.382434</td>\n      <td>1.704696</td>\n      <td>1.704696</td>\n      <td>2.026957</td>\n      <td>2.026957</td>\n      <td>2.349218</td>\n      <td>0.0</td>\n      <td>6.172790</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.533447</td>\n      <td>0.111127</td>\n      <td>1.765647</td>\n      <td>-2.474691e-17</td>\n      <td>0.111127</td>\n      <td>1.765647</td>\n      <td>-4.968593</td>\n      <td>5.969031</td>\n      <td>-2.424960</td>\n      <td>-2.170596</td>\n      <td>-1.916233</td>\n      <td>-1.661870</td>\n      <td>-1.661870</td>\n      <td>-1.407506</td>\n      <td>-1.407506</td>\n      <td>-1.407506</td>\n      <td>-1.153143</td>\n      <td>1.136127</td>\n      <td>1.390491</td>\n      <td>1.390491</td>\n      <td>1.390491</td>\n      <td>1.390491</td>\n      <td>1.644854</td>\n      <td>1.644854</td>\n      <td>1.899217</td>\n      <td>2.153581</td>\n      <td>2.407944</td>\n      <td>0.0</td>\n      <td>6.171789</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.601074</td>\n      <td>0.055417</td>\n      <td>0.201634</td>\n      <td>-2.032337e-16</td>\n      <td>0.055417</td>\n      <td>0.201634</td>\n      <td>-3.671397</td>\n      <td>3.947712</td>\n      <td>-2.286105</td>\n      <td>-1.939782</td>\n      <td>-1.939782</td>\n      <td>-1.593458</td>\n      <td>-1.593458</td>\n      <td>-1.593458</td>\n      <td>-1.593458</td>\n      <td>-1.247135</td>\n      <td>-1.247135</td>\n      <td>1.177127</td>\n      <td>1.177127</td>\n      <td>1.523450</td>\n      <td>1.523450</td>\n      <td>1.523450</td>\n      <td>1.523450</td>\n      <td>1.869773</td>\n      <td>1.869773</td>\n      <td>2.216096</td>\n      <td>2.233412</td>\n      <td>0.0</td>\n      <td>6.170689</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.453613</td>\n      <td>0.101704</td>\n      <td>1.660484</td>\n      <td>-4.743385e-18</td>\n      <td>0.101704</td>\n      <td>1.660484</td>\n      <td>-4.599619</td>\n      <td>4.887602</td>\n      <td>-2.491348</td>\n      <td>-1.964280</td>\n      <td>-1.964280</td>\n      <td>-1.700746</td>\n      <td>-1.437212</td>\n      <td>-1.437212</td>\n      <td>-1.437212</td>\n      <td>-1.437212</td>\n      <td>-1.173678</td>\n      <td>1.198127</td>\n      <td>1.198127</td>\n      <td>1.461661</td>\n      <td>1.461661</td>\n      <td>1.461661</td>\n      <td>1.461661</td>\n      <td>1.725195</td>\n      <td>1.725195</td>\n      <td>2.015082</td>\n      <td>2.515796</td>\n      <td>0.0</td>\n      <td>6.169590</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.697754</td>\n      <td>-0.022219</td>\n      <td>0.237928</td>\n      <td>3.455894e-18</td>\n      <td>-0.022219</td>\n      <td>0.237928</td>\n      <td>-3.713519</td>\n      <td>3.905418</td>\n      <td>-2.443696</td>\n      <td>-2.126240</td>\n      <td>-1.808784</td>\n      <td>-1.808784</td>\n      <td>-1.808784</td>\n      <td>-1.491329</td>\n      <td>-1.491329</td>\n      <td>-1.491329</td>\n      <td>-1.173873</td>\n      <td>1.365773</td>\n      <td>1.365773</td>\n      <td>1.365773</td>\n      <td>1.365773</td>\n      <td>1.683228</td>\n      <td>1.683228</td>\n      <td>1.683228</td>\n      <td>2.000684</td>\n      <td>2.000684</td>\n      <td>2.318140</td>\n      <td>0.0</td>\n      <td>6.168589</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.827148</td>\n      <td>0.104657</td>\n      <td>7.762388</td>\n      <td>-1.797065e-17</td>\n      <td>0.104657</td>\n      <td>7.762388</td>\n      <td>-6.904140</td>\n      <td>6.934808</td>\n      <td>-3.266981</td>\n      <td>-2.557291</td>\n      <td>-2.127042</td>\n      <td>-1.758890</td>\n      <td>-1.581468</td>\n      <td>-1.315334</td>\n      <td>-1.137912</td>\n      <td>-0.960489</td>\n      <td>-0.871778</td>\n      <td>0.813735</td>\n      <td>0.902446</td>\n      <td>0.991157</td>\n      <td>1.168580</td>\n      <td>1.346002</td>\n      <td>1.523424</td>\n      <td>1.789558</td>\n      <td>2.144403</td>\n      <td>2.765381</td>\n      <td>3.386360</td>\n      <td>0.0</td>\n      <td>6.167489</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.956787</td>\n      <td>-0.101066</td>\n      <td>2.731227</td>\n      <td>-1.859407e-17</td>\n      <td>-0.101066</td>\n      <td>2.731227</td>\n      <td>-6.468573</td>\n      <td>4.383332</td>\n      <td>-2.617897</td>\n      <td>-2.267836</td>\n      <td>-1.917774</td>\n      <td>-1.742744</td>\n      <td>-1.742744</td>\n      <td>-1.567713</td>\n      <td>-1.392682</td>\n      <td>-1.217651</td>\n      <td>-1.217651</td>\n      <td>1.057748</td>\n      <td>1.232779</td>\n      <td>1.232779</td>\n      <td>1.407809</td>\n      <td>1.460319</td>\n      <td>1.582840</td>\n      <td>1.757871</td>\n      <td>1.932902</td>\n      <td>2.282963</td>\n      <td>2.808055</td>\n      <td>0.0</td>\n      <td>6.166390</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.923096</td>\n      <td>-0.150711</td>\n      <td>1.184321</td>\n      <td>-3.741311e-16</td>\n      <td>-0.150711</td>\n      <td>1.184321</td>\n      <td>-4.706955</td>\n      <td>4.496473</td>\n      <td>-2.468284</td>\n      <td>-2.219542</td>\n      <td>-1.970801</td>\n      <td>-1.722060</td>\n      <td>-1.722060</td>\n      <td>-1.473319</td>\n      <td>-1.473319</td>\n      <td>-1.473319</td>\n      <td>-1.224577</td>\n      <td>1.262836</td>\n      <td>1.262836</td>\n      <td>1.262836</td>\n      <td>1.262836</td>\n      <td>1.511577</td>\n      <td>1.511577</td>\n      <td>1.760318</td>\n      <td>1.760318</td>\n      <td>2.009060</td>\n      <td>2.506542</td>\n      <td>0.0</td>\n      <td>6.165389</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.066650</td>\n      <td>0.001014</td>\n      <td>3.540592</td>\n      <td>1.903317e-16</td>\n      <td>0.001014</td>\n      <td>3.540592</td>\n      <td>-6.331175</td>\n      <td>5.213061</td>\n      <td>-2.846123</td>\n      <td>-2.192675</td>\n      <td>-1.757044</td>\n      <td>-1.757044</td>\n      <td>-1.539228</td>\n      <td>-1.321412</td>\n      <td>-1.321412</td>\n      <td>-1.103596</td>\n      <td>-1.103596</td>\n      <td>1.074561</td>\n      <td>1.074561</td>\n      <td>1.292377</td>\n      <td>1.292377</td>\n      <td>1.292377</td>\n      <td>1.510193</td>\n      <td>1.728009</td>\n      <td>1.945825</td>\n      <td>2.163640</td>\n      <td>2.817088</td>\n      <td>0.0</td>\n      <td>6.164289</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.748535</td>\n      <td>0.113415</td>\n      <td>1.584496</td>\n      <td>1.072005e-17</td>\n      <td>0.113415</td>\n      <td>1.584496</td>\n      <td>-4.401287</td>\n      <td>4.290507</td>\n      <td>-2.618355</td>\n      <td>-2.172622</td>\n      <td>-1.949756</td>\n      <td>-1.726889</td>\n      <td>-1.504022</td>\n      <td>-1.504022</td>\n      <td>-1.281156</td>\n      <td>-1.281156</td>\n      <td>-1.281156</td>\n      <td>1.170376</td>\n      <td>1.170376</td>\n      <td>1.393242</td>\n      <td>1.393242</td>\n      <td>1.616109</td>\n      <td>1.616109</td>\n      <td>1.838975</td>\n      <td>2.061842</td>\n      <td>2.284708</td>\n      <td>2.730441</td>\n      <td>0.0</td>\n      <td>6.163190</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.851562</td>\n      <td>-0.233673</td>\n      <td>2.815948</td>\n      <td>-2.732732e-16</td>\n      <td>-0.233673</td>\n      <td>2.815948</td>\n      <td>-5.864340</td>\n      <td>5.666591</td>\n      <td>-2.770675</td>\n      <td>-1.926949</td>\n      <td>-1.926949</td>\n      <td>-1.645706</td>\n      <td>-1.645706</td>\n      <td>-1.364464</td>\n      <td>-1.364464</td>\n      <td>-1.364464</td>\n      <td>-1.083222</td>\n      <td>1.166716</td>\n      <td>1.166716</td>\n      <td>1.166716</td>\n      <td>1.447958</td>\n      <td>1.447958</td>\n      <td>1.447958</td>\n      <td>1.729200</td>\n      <td>1.729200</td>\n      <td>2.010442</td>\n      <td>2.572927</td>\n      <td>0.0</td>\n      <td>6.162189</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.634277</td>\n      <td>0.082610</td>\n      <td>10.682102</td>\n      <td>-1.650698e-17</td>\n      <td>0.082610</td>\n      <td>10.682102</td>\n      <td>-6.150583</td>\n      <td>8.052722</td>\n      <td>-3.439043</td>\n      <td>-2.535197</td>\n      <td>-2.018713</td>\n      <td>-1.631350</td>\n      <td>-1.373108</td>\n      <td>-1.114866</td>\n      <td>-1.030938</td>\n      <td>-0.985745</td>\n      <td>-0.856624</td>\n      <td>0.821948</td>\n      <td>0.821948</td>\n      <td>0.951069</td>\n      <td>0.951069</td>\n      <td>1.080190</td>\n      <td>1.338432</td>\n      <td>1.596674</td>\n      <td>1.984037</td>\n      <td>2.371400</td>\n      <td>3.275246</td>\n      <td>0.0</td>\n      <td>6.161090</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.936768</td>\n      <td>0.020994</td>\n      <td>0.264062</td>\n      <td>2.444876e-17</td>\n      <td>0.020994</td>\n      <td>0.264062</td>\n      <td>-4.130563</td>\n      <td>3.851653</td>\n      <td>-2.214831</td>\n      <td>-1.895543</td>\n      <td>-1.895543</td>\n      <td>-1.895543</td>\n      <td>-1.576254</td>\n      <td>-1.576254</td>\n      <td>-1.256965</td>\n      <td>-1.256965</td>\n      <td>-1.256965</td>\n      <td>1.297344</td>\n      <td>1.297344</td>\n      <td>1.297344</td>\n      <td>1.616633</td>\n      <td>1.616633</td>\n      <td>1.616633</td>\n      <td>1.616633</td>\n      <td>1.935921</td>\n      <td>1.935921</td>\n      <td>2.271174</td>\n      <td>0.0</td>\n      <td>6.160089</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.965332</td>\n      <td>0.144709</td>\n      <td>3.155187</td>\n      <td>-7.005301e-17</td>\n      <td>0.144709</td>\n      <td>3.155187</td>\n      <td>-5.498658</td>\n      <td>6.891219</td>\n      <td>-2.527382</td>\n      <td>-2.286467</td>\n      <td>-1.827583</td>\n      <td>-1.598141</td>\n      <td>-1.598141</td>\n      <td>-1.368699</td>\n      <td>-1.368699</td>\n      <td>-1.368699</td>\n      <td>-1.139257</td>\n      <td>1.155165</td>\n      <td>1.155165</td>\n      <td>1.155165</td>\n      <td>1.384607</td>\n      <td>1.384607</td>\n      <td>1.614049</td>\n      <td>1.614049</td>\n      <td>1.843492</td>\n      <td>2.072934</td>\n      <td>2.761260</td>\n      <td>0.0</td>\n      <td>6.158989</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.858154</td>\n      <td>0.123615</td>\n      <td>2.773010</td>\n      <td>1.454999e-16</td>\n      <td>0.123615</td>\n      <td>2.773010</td>\n      <td>-5.005889</td>\n      <td>5.063018</td>\n      <td>-2.589351</td>\n      <td>-1.985217</td>\n      <td>-1.783839</td>\n      <td>-1.622736</td>\n      <td>-1.582460</td>\n      <td>-1.381082</td>\n      <td>-1.381082</td>\n      <td>-1.179704</td>\n      <td>-1.179704</td>\n      <td>1.035455</td>\n      <td>1.236833</td>\n      <td>1.236833</td>\n      <td>1.236833</td>\n      <td>1.438212</td>\n      <td>1.438212</td>\n      <td>1.639590</td>\n      <td>1.840968</td>\n      <td>2.243724</td>\n      <td>3.049237</td>\n      <td>0.0</td>\n      <td>6.157890</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.974365</td>\n      <td>-0.175194</td>\n      <td>1.712293</td>\n      <td>-7.314299e-17</td>\n      <td>-0.175194</td>\n      <td>1.712293</td>\n      <td>-5.807608</td>\n      <td>4.572624</td>\n      <td>-2.693538</td>\n      <td>-2.278329</td>\n      <td>-2.070724</td>\n      <td>-1.655515</td>\n      <td>-1.655515</td>\n      <td>-1.447910</td>\n      <td>-1.447910</td>\n      <td>-1.240306</td>\n      <td>-1.240306</td>\n      <td>1.250950</td>\n      <td>1.250950</td>\n      <td>1.250950</td>\n      <td>1.458554</td>\n      <td>1.458554</td>\n      <td>1.666159</td>\n      <td>1.666159</td>\n      <td>1.873763</td>\n      <td>2.081368</td>\n      <td>2.496577</td>\n      <td>0.0</td>\n      <td>6.156889</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.975342</td>\n      <td>0.272052</td>\n      <td>12.031465</td>\n      <td>1.900064e-17</td>\n      <td>0.272052</td>\n      <td>12.031465</td>\n      <td>-6.965507</td>\n      <td>8.189142</td>\n      <td>-3.398939</td>\n      <td>-2.523627</td>\n      <td>-2.001053</td>\n      <td>-1.565575</td>\n      <td>-1.304288</td>\n      <td>-1.043001</td>\n      <td>-0.955905</td>\n      <td>-0.868809</td>\n      <td>-0.781714</td>\n      <td>0.698913</td>\n      <td>0.786009</td>\n      <td>0.786009</td>\n      <td>0.873104</td>\n      <td>1.047296</td>\n      <td>1.221487</td>\n      <td>1.569870</td>\n      <td>2.018413</td>\n      <td>2.702114</td>\n      <td>3.660166</td>\n      <td>0.0</td>\n      <td>6.155789</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.016602</td>\n      <td>-0.258045</td>\n      <td>2.570455</td>\n      <td>4.006127e-17</td>\n      <td>-0.258045</td>\n      <td>2.570455</td>\n      <td>-4.942022</td>\n      <td>4.175889</td>\n      <td>-3.042457</td>\n      <td>-2.282631</td>\n      <td>-2.092675</td>\n      <td>-1.712762</td>\n      <td>-1.522806</td>\n      <td>-1.522806</td>\n      <td>-1.332849</td>\n      <td>-1.142893</td>\n      <td>-1.142893</td>\n      <td>1.136585</td>\n      <td>1.136585</td>\n      <td>1.326542</td>\n      <td>1.326542</td>\n      <td>1.516498</td>\n      <td>1.516498</td>\n      <td>1.706455</td>\n      <td>1.896411</td>\n      <td>2.086368</td>\n      <td>2.656237</td>\n      <td>0.0</td>\n      <td>6.154690</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.918701</td>\n      <td>0.086712</td>\n      <td>3.185681</td>\n      <td>7.700546e-17</td>\n      <td>0.086712</td>\n      <td>3.185681</td>\n      <td>-6.009237</td>\n      <td>6.045535</td>\n      <td>-2.660689</td>\n      <td>-1.990980</td>\n      <td>-1.767743</td>\n      <td>-1.767743</td>\n      <td>-1.544507</td>\n      <td>-1.321270</td>\n      <td>-1.321270</td>\n      <td>-1.321270</td>\n      <td>-1.098034</td>\n      <td>1.134331</td>\n      <td>1.134331</td>\n      <td>1.357568</td>\n      <td>1.357568</td>\n      <td>1.357568</td>\n      <td>1.580804</td>\n      <td>1.804041</td>\n      <td>2.027277</td>\n      <td>2.250514</td>\n      <td>2.920223</td>\n      <td>0.0</td>\n      <td>6.153689</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.850586</td>\n      <td>0.175036</td>\n      <td>5.720930</td>\n      <td>-5.215012e-17</td>\n      <td>0.175036</td>\n      <td>5.720930</td>\n      <td>-5.870431</td>\n      <td>5.717132</td>\n      <td>-2.809565</td>\n      <td>-2.153666</td>\n      <td>-1.716399</td>\n      <td>-1.497766</td>\n      <td>-1.497766</td>\n      <td>-1.279133</td>\n      <td>-1.279133</td>\n      <td>-1.060499</td>\n      <td>-1.060499</td>\n      <td>0.907200</td>\n      <td>1.125833</td>\n      <td>1.125833</td>\n      <td>1.125833</td>\n      <td>1.344466</td>\n      <td>1.344466</td>\n      <td>1.563100</td>\n      <td>1.781733</td>\n      <td>2.218999</td>\n      <td>3.104464</td>\n      <td>0.0</td>\n      <td>6.152589</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.010254</td>\n      <td>-0.285995</td>\n      <td>10.055259</td>\n      <td>-1.126215e-17</td>\n      <td>-0.285995</td>\n      <td>10.055259</td>\n      <td>-6.167382</td>\n      <td>6.615722</td>\n      <td>-3.533677</td>\n      <td>-2.634363</td>\n      <td>-2.184707</td>\n      <td>-1.735050</td>\n      <td>-1.413866</td>\n      <td>-1.285393</td>\n      <td>-1.092683</td>\n      <td>-0.964209</td>\n      <td>-0.835736</td>\n      <td>0.770182</td>\n      <td>0.863325</td>\n      <td>0.962892</td>\n      <td>1.155602</td>\n      <td>1.284075</td>\n      <td>1.412549</td>\n      <td>1.605259</td>\n      <td>1.871841</td>\n      <td>2.446760</td>\n      <td>3.278625</td>\n      <td>0.0</td>\n      <td>6.151490</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>5.042725</td>\n      <td>-0.335958</td>\n      <td>11.624715</td>\n      <td>-1.885224e-16</td>\n      <td>-0.335958</td>\n      <td>11.624715</td>\n      <td>-8.955732</td>\n      <td>6.334570</td>\n      <td>-2.988785</td>\n      <td>-2.118605</td>\n      <td>-1.745671</td>\n      <td>-1.497048</td>\n      <td>-1.372737</td>\n      <td>-1.248425</td>\n      <td>-1.124114</td>\n      <td>-0.999802</td>\n      <td>-0.999802</td>\n      <td>0.989180</td>\n      <td>0.989180</td>\n      <td>1.113491</td>\n      <td>1.113491</td>\n      <td>1.237803</td>\n      <td>1.362114</td>\n      <td>1.486426</td>\n      <td>1.610737</td>\n      <td>1.983671</td>\n      <td>2.978162</td>\n      <td>0.0</td>\n      <td>6.150489</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.954346</td>\n      <td>-0.222881</td>\n      <td>12.112573</td>\n      <td>7.578573e-17</td>\n      <td>-0.222881</td>\n      <td>12.112573</td>\n      <td>-7.638836</td>\n      <td>6.712228</td>\n      <td>-3.353635</td>\n      <td>-2.139830</td>\n      <td>-1.737464</td>\n      <td>-1.469220</td>\n      <td>-1.234506</td>\n      <td>-1.066853</td>\n      <td>-1.066853</td>\n      <td>-0.932731</td>\n      <td>-0.798609</td>\n      <td>0.810856</td>\n      <td>0.810856</td>\n      <td>0.944978</td>\n      <td>0.944978</td>\n      <td>1.079100</td>\n      <td>1.213222</td>\n      <td>1.481466</td>\n      <td>1.883833</td>\n      <td>2.420321</td>\n      <td>3.231760</td>\n      <td>0.0</td>\n      <td>6.149389</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.609375</td>\n      <td>-0.152917</td>\n      <td>11.228677</td>\n      <td>4.971745e-17</td>\n      <td>-0.152917</td>\n      <td>11.228677</td>\n      <td>-8.091087</td>\n      <td>7.631036</td>\n      <td>-3.088593</td>\n      <td>-2.088094</td>\n      <td>-1.802238</td>\n      <td>-1.516381</td>\n      <td>-1.373453</td>\n      <td>-1.230524</td>\n      <td>-1.087596</td>\n      <td>-1.087596</td>\n      <td>-0.944667</td>\n      <td>0.913402</td>\n      <td>0.913402</td>\n      <td>1.056330</td>\n      <td>1.056330</td>\n      <td>1.199259</td>\n      <td>1.342187</td>\n      <td>1.485115</td>\n      <td>1.770972</td>\n      <td>2.342686</td>\n      <td>3.057328</td>\n      <td>0.0</td>\n      <td>0.891188</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.640137</td>\n      <td>0.063797</td>\n      <td>1.884675</td>\n      <td>-3.403717e-17</td>\n      <td>0.063797</td>\n      <td>1.884675</td>\n      <td>-4.055520</td>\n      <td>5.600405</td>\n      <td>-2.676102</td>\n      <td>-2.216296</td>\n      <td>-1.986393</td>\n      <td>-1.756490</td>\n      <td>-1.526587</td>\n      <td>-1.526587</td>\n      <td>-1.296684</td>\n      <td>-1.296684</td>\n      <td>-1.296684</td>\n      <td>1.232249</td>\n      <td>1.232249</td>\n      <td>1.232249</td>\n      <td>1.462151</td>\n      <td>1.462151</td>\n      <td>1.692054</td>\n      <td>1.692054</td>\n      <td>1.921957</td>\n      <td>2.151860</td>\n      <td>2.611666</td>\n      <td>0.0</td>\n      <td>0.890088</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.477051</td>\n      <td>0.028644</td>\n      <td>0.233515</td>\n      <td>-6.787106e-17</td>\n      <td>0.028644</td>\n      <td>0.233515</td>\n      <td>-3.889119</td>\n      <td>4.215127</td>\n      <td>-2.330610</td>\n      <td>-2.018908</td>\n      <td>-1.707206</td>\n      <td>-1.707206</td>\n      <td>-1.707206</td>\n      <td>-1.395505</td>\n      <td>-1.395505</td>\n      <td>-1.395505</td>\n      <td>-1.395505</td>\n      <td>1.409811</td>\n      <td>1.409811</td>\n      <td>1.409811</td>\n      <td>1.409811</td>\n      <td>1.721513</td>\n      <td>1.721513</td>\n      <td>1.721513</td>\n      <td>2.033215</td>\n      <td>2.033215</td>\n      <td>2.344917</td>\n      <td>0.0</td>\n      <td>0.888989</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.354980</td>\n      <td>0.068566</td>\n      <td>3.287386</td>\n      <td>9.757820e-19</td>\n      <td>0.068566</td>\n      <td>3.287386</td>\n      <td>-5.578214</td>\n      <td>6.522042</td>\n      <td>-2.718153</td>\n      <td>-2.058139</td>\n      <td>-1.838135</td>\n      <td>-1.838135</td>\n      <td>-1.618130</td>\n      <td>-1.398125</td>\n      <td>-1.398125</td>\n      <td>-1.178121</td>\n      <td>-1.178121</td>\n      <td>1.241931</td>\n      <td>1.241931</td>\n      <td>1.241931</td>\n      <td>1.241931</td>\n      <td>1.461935</td>\n      <td>1.461935</td>\n      <td>1.681940</td>\n      <td>1.901945</td>\n      <td>2.121949</td>\n      <td>2.561958</td>\n      <td>0.0</td>\n      <td>0.887988</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.254150</td>\n      <td>0.072973</td>\n      <td>3.677404</td>\n      <td>1.862117e-17</td>\n      <td>0.072973</td>\n      <td>3.677404</td>\n      <td>-5.601016</td>\n      <td>7.164613</td>\n      <td>-2.710685</td>\n      <td>-2.228963</td>\n      <td>-1.783370</td>\n      <td>-1.747241</td>\n      <td>-1.506380</td>\n      <td>-1.506380</td>\n      <td>-1.265520</td>\n      <td>-1.265520</td>\n      <td>-1.265520</td>\n      <td>1.143090</td>\n      <td>1.143090</td>\n      <td>1.143090</td>\n      <td>1.383951</td>\n      <td>1.383951</td>\n      <td>1.624812</td>\n      <td>1.624812</td>\n      <td>1.865672</td>\n      <td>2.106533</td>\n      <td>2.588255</td>\n      <td>0.0</td>\n      <td>0.886888</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.393311</td>\n      <td>0.019028</td>\n      <td>5.208311</td>\n      <td>-1.887596e-16</td>\n      <td>0.019028</td>\n      <td>5.208311</td>\n      <td>-6.833647</td>\n      <td>6.545650</td>\n      <td>-2.811798</td>\n      <td>-2.320149</td>\n      <td>-1.836560</td>\n      <td>-1.675364</td>\n      <td>-1.514167</td>\n      <td>-1.352971</td>\n      <td>-1.191775</td>\n      <td>-1.191775</td>\n      <td>-1.030578</td>\n      <td>1.064974</td>\n      <td>1.064974</td>\n      <td>1.226171</td>\n      <td>1.226171</td>\n      <td>1.387367</td>\n      <td>1.548563</td>\n      <td>1.709760</td>\n      <td>2.032152</td>\n      <td>2.354545</td>\n      <td>2.999331</td>\n      <td>0.0</td>\n      <td>0.885789</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.353760</td>\n      <td>0.093481</td>\n      <td>0.643155</td>\n      <td>2.444876e-17</td>\n      <td>0.093481</td>\n      <td>0.643155</td>\n      <td>-4.136777</td>\n      <td>3.946149</td>\n      <td>-2.520192</td>\n      <td>-1.981330</td>\n      <td>-1.981330</td>\n      <td>-1.711899</td>\n      <td>-1.711899</td>\n      <td>-1.442468</td>\n      <td>-1.442468</td>\n      <td>-1.442468</td>\n      <td>-1.173037</td>\n      <td>1.251841</td>\n      <td>1.251841</td>\n      <td>1.251841</td>\n      <td>1.521271</td>\n      <td>1.521271</td>\n      <td>1.790702</td>\n      <td>1.790702</td>\n      <td>2.060133</td>\n      <td>2.060133</td>\n      <td>2.598995</td>\n      <td>0.0</td>\n      <td>0.884788</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.098633</td>\n      <td>0.032170</td>\n      <td>0.260630</td>\n      <td>1.775652e-16</td>\n      <td>0.032170</td>\n      <td>0.260630</td>\n      <td>-3.256415</td>\n      <td>3.837727</td>\n      <td>-2.289032</td>\n      <td>-2.289032</td>\n      <td>-1.966571</td>\n      <td>-1.644110</td>\n      <td>-1.644110</td>\n      <td>-1.644110</td>\n      <td>-1.321649</td>\n      <td>-1.321649</td>\n      <td>-1.321649</td>\n      <td>1.258039</td>\n      <td>1.258039</td>\n      <td>1.258039</td>\n      <td>1.580500</td>\n      <td>1.580500</td>\n      <td>1.580500</td>\n      <td>1.902961</td>\n      <td>1.902961</td>\n      <td>2.225422</td>\n      <td>2.547883</td>\n      <td>0.0</td>\n      <td>0.883688</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.511963</td>\n      <td>0.054175</td>\n      <td>4.344874</td>\n      <td>-9.053088e-18</td>\n      <td>0.054175</td>\n      <td>4.344874</td>\n      <td>-5.444252</td>\n      <td>5.196706</td>\n      <td>-2.875745</td>\n      <td>-2.264196</td>\n      <td>-2.019576</td>\n      <td>-1.774956</td>\n      <td>-1.652646</td>\n      <td>-1.530336</td>\n      <td>-1.285717</td>\n      <td>-1.163407</td>\n      <td>-1.163407</td>\n      <td>1.038171</td>\n      <td>1.160480</td>\n      <td>1.282790</td>\n      <td>1.282790</td>\n      <td>1.405100</td>\n      <td>1.649720</td>\n      <td>1.772030</td>\n      <td>2.016649</td>\n      <td>2.383579</td>\n      <td>3.117438</td>\n      <td>0.0</td>\n      <td>0.882589</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.657471</td>\n      <td>0.015631</td>\n      <td>1.354309</td>\n      <td>1.698470e-16</td>\n      <td>0.015631</td>\n      <td>1.354309</td>\n      <td>-5.237935</td>\n      <td>5.149517</td>\n      <td>-2.430515</td>\n      <td>-2.149773</td>\n      <td>-1.869031</td>\n      <td>-1.588289</td>\n      <td>-1.588289</td>\n      <td>-1.588289</td>\n      <td>-1.307547</td>\n      <td>-1.307547</td>\n      <td>-1.307547</td>\n      <td>1.219130</td>\n      <td>1.219130</td>\n      <td>1.219130</td>\n      <td>1.499872</td>\n      <td>1.499872</td>\n      <td>1.499872</td>\n      <td>1.780614</td>\n      <td>1.780614</td>\n      <td>2.061356</td>\n      <td>2.342098</td>\n      <td>0.0</td>\n      <td>0.881588</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.858643</td>\n      <td>0.093778</td>\n      <td>0.609755</td>\n      <td>-2.727880e-15</td>\n      <td>0.093778</td>\n      <td>0.609755</td>\n      <td>-3.841201</td>\n      <td>5.419281</td>\n      <td>-2.347575</td>\n      <td>-2.048850</td>\n      <td>-1.750124</td>\n      <td>-1.750124</td>\n      <td>-1.451399</td>\n      <td>-1.451399</td>\n      <td>-1.451399</td>\n      <td>-1.451399</td>\n      <td>-1.152674</td>\n      <td>1.237128</td>\n      <td>1.237128</td>\n      <td>1.237128</td>\n      <td>1.535853</td>\n      <td>1.535853</td>\n      <td>1.535853</td>\n      <td>1.834579</td>\n      <td>1.834579</td>\n      <td>2.133304</td>\n      <td>2.432029</td>\n      <td>0.0</td>\n      <td>0.880489</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.860352</td>\n      <td>0.066367</td>\n      <td>0.374025</td>\n      <td>2.135336e-16</td>\n      <td>0.066367</td>\n      <td>0.374025</td>\n      <td>-3.772050</td>\n      <td>3.848060</td>\n      <td>-2.411316</td>\n      <td>-2.139169</td>\n      <td>-1.867023</td>\n      <td>-1.867023</td>\n      <td>-1.594876</td>\n      <td>-1.594876</td>\n      <td>-1.322729</td>\n      <td>-1.322729</td>\n      <td>-1.322729</td>\n      <td>1.398739</td>\n      <td>1.398739</td>\n      <td>1.398739</td>\n      <td>1.398739</td>\n      <td>1.670885</td>\n      <td>1.670885</td>\n      <td>1.670885</td>\n      <td>1.943032</td>\n      <td>2.215179</td>\n      <td>2.487326</td>\n      <td>0.0</td>\n      <td>0.879488</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.917480</td>\n      <td>-0.062333</td>\n      <td>0.171841</td>\n      <td>2.756448e-16</td>\n      <td>-0.062333</td>\n      <td>0.171841</td>\n      <td>-3.978483</td>\n      <td>4.367415</td>\n      <td>-2.309304</td>\n      <td>-1.975468</td>\n      <td>-1.975468</td>\n      <td>-1.641632</td>\n      <td>-1.641632</td>\n      <td>-1.641632</td>\n      <td>-1.641632</td>\n      <td>-1.307796</td>\n      <td>-1.307796</td>\n      <td>1.362892</td>\n      <td>1.362892</td>\n      <td>1.362892</td>\n      <td>1.362892</td>\n      <td>1.362892</td>\n      <td>1.696728</td>\n      <td>1.696728</td>\n      <td>1.696728</td>\n      <td>2.030564</td>\n      <td>2.364400</td>\n      <td>0.0</td>\n      <td>0.878388</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.670654</td>\n      <td>0.018467</td>\n      <td>0.006407</td>\n      <td>-3.480289e-17</td>\n      <td>0.018467</td>\n      <td>0.006407</td>\n      <td>-4.345673</td>\n      <td>3.542671</td>\n      <td>-2.287844</td>\n      <td>-1.944873</td>\n      <td>-1.944873</td>\n      <td>-1.601901</td>\n      <td>-1.601901</td>\n      <td>-1.601901</td>\n      <td>-1.601901</td>\n      <td>-1.258930</td>\n      <td>-1.258930</td>\n      <td>1.484842</td>\n      <td>1.484842</td>\n      <td>1.484842</td>\n      <td>1.484842</td>\n      <td>1.484842</td>\n      <td>1.827814</td>\n      <td>1.827814</td>\n      <td>1.827814</td>\n      <td>2.170785</td>\n      <td>2.187934</td>\n      <td>0.0</td>\n      <td>0.877289</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.641357</td>\n      <td>1.885921</td>\n      <td>106.384827</td>\n      <td>1.206175e-17</td>\n      <td>1.885921</td>\n      <td>106.384827</td>\n      <td>-14.321346</td>\n      <td>16.871780</td>\n      <td>-1.497505</td>\n      <td>-1.324210</td>\n      <td>-1.150915</td>\n      <td>-0.977620</td>\n      <td>-0.977620</td>\n      <td>-0.977620</td>\n      <td>-0.804325</td>\n      <td>-0.804325</td>\n      <td>-0.804325</td>\n      <td>0.755332</td>\n      <td>0.755332</td>\n      <td>0.755332</td>\n      <td>0.928627</td>\n      <td>0.928627</td>\n      <td>0.928627</td>\n      <td>1.101922</td>\n      <td>1.101922</td>\n      <td>1.275217</td>\n      <td>1.621807</td>\n      <td>0.0</td>\n      <td>0.876288</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.776123</td>\n      <td>-0.293327</td>\n      <td>6.338200</td>\n      <td>-5.827587e-19</td>\n      <td>-0.293327</td>\n      <td>6.338200</td>\n      <td>-6.094194</td>\n      <td>5.659145</td>\n      <td>-3.351748</td>\n      <td>-2.489837</td>\n      <td>-2.019703</td>\n      <td>-1.784637</td>\n      <td>-1.549570</td>\n      <td>-1.392859</td>\n      <td>-1.236147</td>\n      <td>-1.157792</td>\n      <td>-1.001081</td>\n      <td>0.918631</td>\n      <td>1.036165</td>\n      <td>1.114520</td>\n      <td>1.271231</td>\n      <td>1.349587</td>\n      <td>1.506298</td>\n      <td>1.741365</td>\n      <td>2.054787</td>\n      <td>2.368210</td>\n      <td>3.073410</td>\n      <td>0.0</td>\n      <td>0.875188</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.780029</td>\n      <td>-0.290076</td>\n      <td>10.391430</td>\n      <td>-2.727446e-17</td>\n      <td>-0.290076</td>\n      <td>10.391430</td>\n      <td>-7.524606</td>\n      <td>8.090010</td>\n      <td>-3.086768</td>\n      <td>-2.264946</td>\n      <td>-1.771853</td>\n      <td>-1.443124</td>\n      <td>-1.278760</td>\n      <td>-1.278760</td>\n      <td>-1.114395</td>\n      <td>-0.950031</td>\n      <td>-0.950031</td>\n      <td>0.857977</td>\n      <td>1.022342</td>\n      <td>1.022342</td>\n      <td>1.186706</td>\n      <td>1.186706</td>\n      <td>1.351070</td>\n      <td>1.515435</td>\n      <td>1.679799</td>\n      <td>2.172892</td>\n      <td>3.159079</td>\n      <td>0.0</td>\n      <td>0.874089</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.606689</td>\n      <td>0.028741</td>\n      <td>0.266901</td>\n      <td>-2.743031e-17</td>\n      <td>0.028741</td>\n      <td>0.266901</td>\n      <td>-4.016709</td>\n      <td>3.363317</td>\n      <td>-2.540704</td>\n      <td>-1.950302</td>\n      <td>-1.950302</td>\n      <td>-1.655101</td>\n      <td>-1.655101</td>\n      <td>-1.359899</td>\n      <td>-1.359899</td>\n      <td>-1.359899</td>\n      <td>-1.359899</td>\n      <td>1.296910</td>\n      <td>1.296910</td>\n      <td>1.296910</td>\n      <td>1.592111</td>\n      <td>1.592111</td>\n      <td>1.592111</td>\n      <td>1.887312</td>\n      <td>1.887312</td>\n      <td>2.182513</td>\n      <td>2.477714</td>\n      <td>0.0</td>\n      <td>0.873088</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.546387</td>\n      <td>-0.061118</td>\n      <td>2.563047</td>\n      <td>-1.296977e-17</td>\n      <td>-0.061118</td>\n      <td>2.563047</td>\n      <td>-5.130376</td>\n      <td>4.395341</td>\n      <td>-2.821112</td>\n      <td>-2.388124</td>\n      <td>-2.099466</td>\n      <td>-1.810808</td>\n      <td>-1.666479</td>\n      <td>-1.522150</td>\n      <td>-1.377821</td>\n      <td>-1.233492</td>\n      <td>-1.233492</td>\n      <td>1.075773</td>\n      <td>1.220102</td>\n      <td>1.364431</td>\n      <td>1.364431</td>\n      <td>1.508760</td>\n      <td>1.653089</td>\n      <td>1.941747</td>\n      <td>2.086076</td>\n      <td>2.374734</td>\n      <td>2.807722</td>\n      <td>0.0</td>\n      <td>0.871988</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.556885</td>\n      <td>-0.647938</td>\n      <td>24.877135</td>\n      <td>-3.815036e-18</td>\n      <td>-0.647938</td>\n      <td>24.877135</td>\n      <td>-11.347990</td>\n      <td>7.045073</td>\n      <td>-3.120893</td>\n      <td>-2.334865</td>\n      <td>-1.810846</td>\n      <td>-1.454513</td>\n      <td>-1.234425</td>\n      <td>-1.024818</td>\n      <td>-0.867612</td>\n      <td>-0.762808</td>\n      <td>-0.658005</td>\n      <td>0.547239</td>\n      <td>0.599641</td>\n      <td>0.704445</td>\n      <td>0.809248</td>\n      <td>1.018856</td>\n      <td>1.241564</td>\n      <td>1.542875</td>\n      <td>1.857286</td>\n      <td>2.590913</td>\n      <td>3.429343</td>\n      <td>0.0</td>\n      <td>0.870889</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.556885</td>\n      <td>0.405074</td>\n      <td>11.725823</td>\n      <td>6.501825e-18</td>\n      <td>0.405074</td>\n      <td>11.725823</td>\n      <td>-6.537725</td>\n      <td>7.682620</td>\n      <td>-2.968246</td>\n      <td>-2.507668</td>\n      <td>-1.989518</td>\n      <td>-1.701656</td>\n      <td>-1.413795</td>\n      <td>-1.241078</td>\n      <td>-1.125934</td>\n      <td>-1.010789</td>\n      <td>-0.895645</td>\n      <td>0.831523</td>\n      <td>0.889095</td>\n      <td>0.946667</td>\n      <td>1.061812</td>\n      <td>1.176956</td>\n      <td>1.349673</td>\n      <td>1.533904</td>\n      <td>1.810251</td>\n      <td>2.219014</td>\n      <td>2.964574</td>\n      <td>0.0</td>\n      <td>0.869888</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.458740</td>\n      <td>-0.331399</td>\n      <td>8.809173</td>\n      <td>1.478581e-17</td>\n      <td>-0.331399</td>\n      <td>8.809173</td>\n      <td>-7.053459</td>\n      <td>6.506880</td>\n      <td>-3.502207</td>\n      <td>-2.607446</td>\n      <td>-1.829394</td>\n      <td>-1.495943</td>\n      <td>-1.273643</td>\n      <td>-1.162492</td>\n      <td>-1.051342</td>\n      <td>-0.940192</td>\n      <td>-0.940192</td>\n      <td>0.838213</td>\n      <td>0.949364</td>\n      <td>0.949364</td>\n      <td>1.060514</td>\n      <td>1.171664</td>\n      <td>1.393965</td>\n      <td>1.527345</td>\n      <td>1.855239</td>\n      <td>2.505468</td>\n      <td>3.172370</td>\n      <td>0.0</td>\n      <td>0.868788</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.499268</td>\n      <td>0.089230</td>\n      <td>0.858487</td>\n      <td>8.619407e-18</td>\n      <td>0.089230</td>\n      <td>0.858487</td>\n      <td>-3.911039</td>\n      <td>4.668420</td>\n      <td>-2.397017</td>\n      <td>-2.144680</td>\n      <td>-1.892343</td>\n      <td>-1.640006</td>\n      <td>-1.640006</td>\n      <td>-1.640006</td>\n      <td>-1.387669</td>\n      <td>-1.387669</td>\n      <td>-1.387669</td>\n      <td>1.135701</td>\n      <td>1.388038</td>\n      <td>1.388038</td>\n      <td>1.388038</td>\n      <td>1.640375</td>\n      <td>1.640375</td>\n      <td>1.640375</td>\n      <td>1.892712</td>\n      <td>2.145049</td>\n      <td>2.397386</td>\n      <td>0.0</td>\n      <td>0.867689</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.524170</td>\n      <td>0.074013</td>\n      <td>0.550374</td>\n      <td>-2.668493e-17</td>\n      <td>0.074013</td>\n      <td>0.550374</td>\n      <td>-3.752076</td>\n      <td>4.037180</td>\n      <td>-2.553728</td>\n      <td>-1.954555</td>\n      <td>-1.954555</td>\n      <td>-1.654968</td>\n      <td>-1.654968</td>\n      <td>-1.654968</td>\n      <td>-1.355381</td>\n      <td>-1.355381</td>\n      <td>-1.355381</td>\n      <td>1.340899</td>\n      <td>1.340899</td>\n      <td>1.340899</td>\n      <td>1.340899</td>\n      <td>1.640486</td>\n      <td>1.640486</td>\n      <td>1.640486</td>\n      <td>1.940073</td>\n      <td>2.239660</td>\n      <td>2.539247</td>\n      <td>0.0</td>\n      <td>0.866688</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.553467</td>\n      <td>0.000631</td>\n      <td>4.818785</td>\n      <td>-3.496552e-17</td>\n      <td>0.000631</td>\n      <td>4.818785</td>\n      <td>-5.425412</td>\n      <td>6.676605</td>\n      <td>-3.089935</td>\n      <td>-2.452987</td>\n      <td>-1.816039</td>\n      <td>-1.603723</td>\n      <td>-1.391406</td>\n      <td>-1.391406</td>\n      <td>-1.179090</td>\n      <td>-1.179090</td>\n      <td>-1.062317</td>\n      <td>0.944071</td>\n      <td>1.156387</td>\n      <td>1.156387</td>\n      <td>1.156387</td>\n      <td>1.368703</td>\n      <td>1.368703</td>\n      <td>1.581019</td>\n      <td>1.793335</td>\n      <td>2.217967</td>\n      <td>3.067231</td>\n      <td>0.0</td>\n      <td>0.865589</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.212158</td>\n      <td>-0.044662</td>\n      <td>8.359643</td>\n      <td>-1.894643e-17</td>\n      <td>-0.044662</td>\n      <td>8.359643</td>\n      <td>-7.068262</td>\n      <td>6.797721</td>\n      <td>-2.699528</td>\n      <td>-2.129693</td>\n      <td>-1.749803</td>\n      <td>-1.559858</td>\n      <td>-1.369913</td>\n      <td>-1.236952</td>\n      <td>-1.179968</td>\n      <td>-1.179968</td>\n      <td>-0.990023</td>\n      <td>0.909426</td>\n      <td>1.099371</td>\n      <td>1.099371</td>\n      <td>1.099371</td>\n      <td>1.289316</td>\n      <td>1.289316</td>\n      <td>1.479261</td>\n      <td>1.669206</td>\n      <td>2.049096</td>\n      <td>2.808876</td>\n      <td>0.0</td>\n      <td>0.864588</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.776855</td>\n      <td>-0.189213</td>\n      <td>12.877045</td>\n      <td>-1.219727e-18</td>\n      <td>-0.189213</td>\n      <td>12.877045</td>\n      <td>-6.708836</td>\n      <td>6.560548</td>\n      <td>-3.748261</td>\n      <td>-2.786439</td>\n      <td>-1.999874</td>\n      <td>-1.659794</td>\n      <td>-1.294677</td>\n      <td>-0.962942</td>\n      <td>-0.825241</td>\n      <td>-0.700058</td>\n      <td>-0.533148</td>\n      <td>0.510043</td>\n      <td>0.612275</td>\n      <td>0.718681</td>\n      <td>0.885591</td>\n      <td>1.052502</td>\n      <td>1.302868</td>\n      <td>1.603306</td>\n      <td>2.018496</td>\n      <td>2.729952</td>\n      <td>3.725156</td>\n      <td>0.0</td>\n      <td>0.863488</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.778320</td>\n      <td>0.218628</td>\n      <td>3.423007</td>\n      <td>-3.172647e-17</td>\n      <td>0.218628</td>\n      <td>3.423007</td>\n      <td>-4.636601</td>\n      <td>5.925400</td>\n      <td>-2.731978</td>\n      <td>-2.212535</td>\n      <td>-1.866240</td>\n      <td>-1.693092</td>\n      <td>-1.519945</td>\n      <td>-1.519945</td>\n      <td>-1.346797</td>\n      <td>-1.346797</td>\n      <td>-1.173650</td>\n      <td>1.077269</td>\n      <td>1.077269</td>\n      <td>1.250416</td>\n      <td>1.250416</td>\n      <td>1.423564</td>\n      <td>1.596711</td>\n      <td>1.769859</td>\n      <td>1.943006</td>\n      <td>2.289302</td>\n      <td>2.817402</td>\n      <td>0.0</td>\n      <td>0.862389</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.673096</td>\n      <td>-0.082496</td>\n      <td>15.290941</td>\n      <td>-6.152847e-18</td>\n      <td>-0.082496</td>\n      <td>15.290941</td>\n      <td>-7.735962</td>\n      <td>7.072629</td>\n      <td>-3.586848</td>\n      <td>-2.498778</td>\n      <td>-1.866704</td>\n      <td>-1.415222</td>\n      <td>-1.054037</td>\n      <td>-0.873445</td>\n      <td>-0.783148</td>\n      <td>-0.692852</td>\n      <td>-0.602556</td>\n      <td>0.571296</td>\n      <td>0.661592</td>\n      <td>0.751889</td>\n      <td>0.842185</td>\n      <td>1.022777</td>\n      <td>1.203370</td>\n      <td>1.383963</td>\n      <td>1.745148</td>\n      <td>2.476548</td>\n      <td>3.821962</td>\n      <td>0.0</td>\n      <td>0.861388</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>4.778076</td>\n      <td>0.072374</td>\n      <td>7.294380</td>\n      <td>2.747910e-16</td>\n      <td>0.072374</td>\n      <td>7.294380</td>\n      <td>-7.330354</td>\n      <td>6.528264</td>\n      <td>-2.855175</td>\n      <td>-2.147808</td>\n      <td>-1.844651</td>\n      <td>-1.555930</td>\n      <td>-1.411569</td>\n      <td>-1.267208</td>\n      <td>-1.267208</td>\n      <td>-1.122848</td>\n      <td>-1.122848</td>\n      <td>1.042561</td>\n      <td>1.042561</td>\n      <td>1.042561</td>\n      <td>1.186922</td>\n      <td>1.331282</td>\n      <td>1.475643</td>\n      <td>1.620004</td>\n      <td>1.764364</td>\n      <td>2.197446</td>\n      <td>2.919249</td>\n      <td>0.0</td>\n      <td>0.860288</td>\n    </tr>\n  </tbody>\n</table>\n<p>5001 rows × 29 columns</p>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_new.describe()","execution_count":67,"outputs":[{"output_type":"execute_result","execution_count":67,"data":{"text/plain":"              Mean         skew     ...       moment       target\ncount  5001.000000  5001.000000     ...       5001.0  5001.000000\nmean      4.474098     0.031075     ...          0.0     3.520273\nstd       0.277611     0.254347     ...          0.0     1.536203\nmin       3.652588    -4.798221     ...          0.0     0.860288\n25%       4.273438    -0.053729     ...          0.0     2.190288\n50%       4.464844     0.017019     ...          0.0     3.520289\n75%       4.655762     0.101027     ...          0.0     4.850289\nmax       5.458496     3.443164     ...          0.0     6.180289\n\n[8 rows x 29 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Mean</th>\n      <th>skew</th>\n      <th>kurtosis</th>\n      <th>mean_norm</th>\n      <th>mean_skew</th>\n      <th>kurtoris_norm</th>\n      <th>min</th>\n      <th>max</th>\n      <th>percent0</th>\n      <th>percent1</th>\n      <th>percent2</th>\n      <th>percent3</th>\n      <th>percent4</th>\n      <th>percent5</th>\n      <th>percent6</th>\n      <th>percent7</th>\n      <th>percent8</th>\n      <th>percent9</th>\n      <th>percent10</th>\n      <th>percent11</th>\n      <th>percent12</th>\n      <th>percent13</th>\n      <th>percent14</th>\n      <th>percent15</th>\n      <th>percent16</th>\n      <th>percent17</th>\n      <th>percent18</th>\n      <th>moment</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5.001000e+03</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.0</td>\n      <td>5001.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>4.474098</td>\n      <td>0.031075</td>\n      <td>5.451572</td>\n      <td>9.427706e-19</td>\n      <td>0.031075</td>\n      <td>5.451572</td>\n      <td>-5.638752</td>\n      <td>5.726853</td>\n      <td>-2.788141</td>\n      <td>-2.201326</td>\n      <td>-1.869226</td>\n      <td>-1.653284</td>\n      <td>-1.491989</td>\n      <td>-1.368338</td>\n      <td>-1.270457</td>\n      <td>-1.186979</td>\n      <td>-1.113171</td>\n      <td>1.052180</td>\n      <td>1.114409</td>\n      <td>1.188046</td>\n      <td>1.272368</td>\n      <td>1.371796</td>\n      <td>1.495178</td>\n      <td>1.656362</td>\n      <td>1.874547</td>\n      <td>2.203355</td>\n      <td>2.804661</td>\n      <td>0.0</td>\n      <td>3.520273</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>0.277611</td>\n      <td>0.254347</td>\n      <td>7.584846</td>\n      <td>2.362007e-16</td>\n      <td>0.254347</td>\n      <td>7.584846</td>\n      <td>1.614196</td>\n      <td>1.698928</td>\n      <td>0.413491</td>\n      <td>0.204925</td>\n      <td>0.148171</td>\n      <td>0.161545</td>\n      <td>0.181403</td>\n      <td>0.196440</td>\n      <td>0.210602</td>\n      <td>0.216490</td>\n      <td>0.218918</td>\n      <td>0.220281</td>\n      <td>0.220299</td>\n      <td>0.218421</td>\n      <td>0.212076</td>\n      <td>0.199643</td>\n      <td>0.184662</td>\n      <td>0.162817</td>\n      <td>0.151070</td>\n      <td>0.206793</td>\n      <td>0.421443</td>\n      <td>0.0</td>\n      <td>1.536203</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>3.652588</td>\n      <td>-4.798221</td>\n      <td>-0.139572</td>\n      <td>-2.727880e-15</td>\n      <td>-4.798221</td>\n      <td>-0.139572</td>\n      <td>-17.286572</td>\n      <td>2.963308</td>\n      <td>-4.319052</td>\n      <td>-3.074953</td>\n      <td>-2.378604</td>\n      <td>-2.021495</td>\n      <td>-1.857742</td>\n      <td>-1.733812</td>\n      <td>-1.654816</td>\n      <td>-1.586992</td>\n      <td>-1.519680</td>\n      <td>0.120165</td>\n      <td>0.139754</td>\n      <td>0.139754</td>\n      <td>0.151541</td>\n      <td>0.177307</td>\n      <td>0.203072</td>\n      <td>0.254603</td>\n      <td>0.456912</td>\n      <td>0.603427</td>\n      <td>0.875358</td>\n      <td>0.0</td>\n      <td>0.860288</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>4.273438</td>\n      <td>-0.053729</td>\n      <td>0.843967</td>\n      <td>-4.320800e-17</td>\n      <td>-0.053729</td>\n      <td>0.843967</td>\n      <td>-6.618673</td>\n      <td>4.403335</td>\n      <td>-3.086768</td>\n      <td>-2.318749</td>\n      <td>-1.960975</td>\n      <td>-1.761277</td>\n      <td>-1.611343</td>\n      <td>-1.501139</td>\n      <td>-1.419040</td>\n      <td>-1.339865</td>\n      <td>-1.267902</td>\n      <td>0.923152</td>\n      <td>0.987519</td>\n      <td>1.067031</td>\n      <td>1.159708</td>\n      <td>1.268605</td>\n      <td>1.414208</td>\n      <td>1.588684</td>\n      <td>1.792849</td>\n      <td>2.066124</td>\n      <td>2.461539</td>\n      <td>0.0</td>\n      <td>2.190288</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>4.464844</td>\n      <td>0.017019</td>\n      <td>3.005739</td>\n      <td>9.283481e-19</td>\n      <td>0.017019</td>\n      <td>3.005739</td>\n      <td>-5.411478</td>\n      <td>5.475768</td>\n      <td>-2.696288</td>\n      <td>-2.175303</td>\n      <td>-1.876140</td>\n      <td>-1.671293</td>\n      <td>-1.520650</td>\n      <td>-1.405503</td>\n      <td>-1.311359</td>\n      <td>-1.229282</td>\n      <td>-1.159720</td>\n      <td>1.100958</td>\n      <td>1.161619</td>\n      <td>1.234181</td>\n      <td>1.314270</td>\n      <td>1.412774</td>\n      <td>1.524339</td>\n      <td>1.678319</td>\n      <td>1.884468</td>\n      <td>2.178230</td>\n      <td>2.711175</td>\n      <td>0.0</td>\n      <td>3.520289</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>4.655762</td>\n      <td>0.101027</td>\n      <td>7.763469</td>\n      <td>4.969712e-17</td>\n      <td>0.101027</td>\n      <td>7.763469</td>\n      <td>-4.392857</td>\n      <td>6.723246</td>\n      <td>-2.463404</td>\n      <td>-2.068155</td>\n      <td>-1.790202</td>\n      <td>-1.582469</td>\n      <td>-1.411285</td>\n      <td>-1.270970</td>\n      <td>-1.159446</td>\n      <td>-1.069597</td>\n      <td>-0.988548</td>\n      <td>1.212323</td>\n      <td>1.269290</td>\n      <td>1.341214</td>\n      <td>1.422092</td>\n      <td>1.506631</td>\n      <td>1.618020</td>\n      <td>1.762027</td>\n      <td>1.968536</td>\n      <td>2.320430</td>\n      <td>3.107590</td>\n      <td>0.0</td>\n      <td>4.850289</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>5.458496</td>\n      <td>3.443164</td>\n      <td>156.031551</td>\n      <td>2.624664e-15</td>\n      <td>3.443164</td>\n      <td>156.031551</td>\n      <td>-2.843082</td>\n      <td>16.871780</td>\n      <td>-0.685818</td>\n      <td>-0.539394</td>\n      <td>-0.461467</td>\n      <td>-0.338000</td>\n      <td>-0.260704</td>\n      <td>-0.199621</td>\n      <td>-0.156423</td>\n      <td>-0.134825</td>\n      <td>-0.134493</td>\n      <td>1.484842</td>\n      <td>1.515397</td>\n      <td>1.598758</td>\n      <td>1.689604</td>\n      <td>1.762985</td>\n      <td>1.832761</td>\n      <td>2.065158</td>\n      <td>2.382321</td>\n      <td>3.089383</td>\n      <td>4.494947</td>\n      <td>0.0</td>\n      <td>6.180289</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}},{"output_type":"stream","text":"\n\n\n\n\n\n\n\n\n5000it [02:02, 47.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A","name":"stderr"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"import xgboost as xg\nfrom sklearn.model_selection import train_test_split\nX = df_new.iloc[:,df.columns != 'target']\nY= df_new['target']\nX_train,X_test,y_train,y_test = train_test_split(X,Y,test_size = 0.3,random_state=47)\ndtrain = xg.DMatrix(X_train,y_train)\ndtest = xg.DMatrix(X_test,y_test)\n\nparameters = {'max_depth':2,'eta':0.02,'eval_metric':['mae']}\nnumrounds = 10000\nevallist = [(dtrain, 'train'),(dtest, 'eval') ]\nmodel = xg.train(parameters,dtrain,numrounds,early_stopping_rounds=100,evals=evallist)\n","execution_count":68,"outputs":[{"output_type":"stream","text":"[0]\ttrain-mae:2.94988\teval-mae:2.9841\nMultiple eval metrics have been passed: 'eval-mae' will be used for early stopping.\n\nWill train until eval-mae hasn't improved in 100 rounds.\n[1]\ttrain-mae:2.89094\teval-mae:2.92522\n[2]\ttrain-mae:2.83317\teval-mae:2.86752\n[3]\ttrain-mae:2.77657\teval-mae:2.81097\n[4]\ttrain-mae:2.7211\teval-mae:2.75562\n[5]\ttrain-mae:2.66674\teval-mae:2.70138\n[6]\ttrain-mae:2.61376\teval-mae:2.64834\n[7]\ttrain-mae:2.56302\teval-mae:2.59739\n[8]\ttrain-mae:2.51461\teval-mae:2.54872\n[9]\ttrain-mae:2.46813\teval-mae:2.50225\n[10]\ttrain-mae:2.42341\teval-mae:2.45769\n[11]\ttrain-mae:2.38002\teval-mae:2.41441\n[12]\ttrain-mae:2.33807\teval-mae:2.37261\n[13]\ttrain-mae:2.29804\teval-mae:2.3329\n[14]\ttrain-mae:2.25927\teval-mae:2.29499\n[15]\ttrain-mae:2.22202\teval-mae:2.25865\n[16]\ttrain-mae:2.18619\teval-mae:2.22386\n[17]\ttrain-mae:2.15178\teval-mae:2.1908\n[18]\ttrain-mae:2.11925\teval-mae:2.15922\n[19]\ttrain-mae:2.08796\teval-mae:2.12913\n[20]\ttrain-mae:2.05775\teval-mae:2.09998\n[21]\ttrain-mae:2.02855\teval-mae:2.07179\n[22]\ttrain-mae:2.00051\teval-mae:2.04467\n[23]\ttrain-mae:1.97353\teval-mae:2.01825\n[24]\ttrain-mae:1.94749\teval-mae:1.99265\n[25]\ttrain-mae:1.92247\teval-mae:1.96819\n[26]\ttrain-mae:1.89837\teval-mae:1.94476\n[27]\ttrain-mae:1.87515\teval-mae:1.92214\n[28]\ttrain-mae:1.85279\teval-mae:1.90025\n[29]\ttrain-mae:1.83124\teval-mae:1.87935\n[30]\ttrain-mae:1.81056\teval-mae:1.85925\n[31]\ttrain-mae:1.79059\teval-mae:1.84003\n[32]\ttrain-mae:1.77137\teval-mae:1.82156\n[33]\ttrain-mae:1.75289\teval-mae:1.80377\n[34]\ttrain-mae:1.73527\teval-mae:1.78685\n[35]\ttrain-mae:1.71837\teval-mae:1.77084\n[36]\ttrain-mae:1.70204\teval-mae:1.75545\n[37]\ttrain-mae:1.68613\teval-mae:1.74058\n[38]\ttrain-mae:1.67082\teval-mae:1.72617\n[39]\ttrain-mae:1.65611\teval-mae:1.71237\n[40]\ttrain-mae:1.64192\teval-mae:1.69915\n[41]\ttrain-mae:1.62828\teval-mae:1.68634\n[42]\ttrain-mae:1.61522\teval-mae:1.674\n[43]\ttrain-mae:1.60254\teval-mae:1.66208\n[44]\ttrain-mae:1.59035\teval-mae:1.65068\n[45]\ttrain-mae:1.57868\teval-mae:1.6396\n","name":"stdout"},{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/xgboost/core.py:587: FutureWarning: Series.base is deprecated and will be removed in a future version\n  if getattr(data, 'base', None) is not None and \\\n","name":"stderr"},{"output_type":"stream","text":"[46]\ttrain-mae:1.56751\teval-mae:1.62888\n[47]\ttrain-mae:1.55674\teval-mae:1.61855\n[48]\ttrain-mae:1.54647\teval-mae:1.60866\n[49]\ttrain-mae:1.53647\teval-mae:1.59918\n[50]\ttrain-mae:1.52693\teval-mae:1.59016\n[51]\ttrain-mae:1.51776\teval-mae:1.58145\n[52]\ttrain-mae:1.50899\teval-mae:1.57303\n[53]\ttrain-mae:1.50052\teval-mae:1.56503\n[54]\ttrain-mae:1.49235\teval-mae:1.55733\n[55]\ttrain-mae:1.48453\teval-mae:1.54994\n[56]\ttrain-mae:1.4769\teval-mae:1.5427\n[57]\ttrain-mae:1.4697\teval-mae:1.53584\n[58]\ttrain-mae:1.46279\teval-mae:1.52928\n[59]\ttrain-mae:1.45605\teval-mae:1.52292\n[60]\ttrain-mae:1.44964\teval-mae:1.51688\n[61]\ttrain-mae:1.44339\teval-mae:1.51104\n[62]\ttrain-mae:1.43742\teval-mae:1.50549\n[63]\ttrain-mae:1.43171\teval-mae:1.50015\n[64]\ttrain-mae:1.4262\teval-mae:1.49516\n[65]\ttrain-mae:1.42092\teval-mae:1.49032\n[66]\ttrain-mae:1.41582\teval-mae:1.48562\n[67]\ttrain-mae:1.41106\teval-mae:1.48114\n[68]\ttrain-mae:1.40652\teval-mae:1.47683\n[69]\ttrain-mae:1.40217\teval-mae:1.47264\n[70]\ttrain-mae:1.39794\teval-mae:1.46876\n[71]\ttrain-mae:1.39389\teval-mae:1.46491\n[72]\ttrain-mae:1.39003\teval-mae:1.46122\n[73]\ttrain-mae:1.38631\teval-mae:1.45776\n[74]\ttrain-mae:1.38278\teval-mae:1.45439\n[75]\ttrain-mae:1.37932\teval-mae:1.45121\n[76]\ttrain-mae:1.37598\teval-mae:1.44802\n[77]\ttrain-mae:1.37276\teval-mae:1.44492\n[78]\ttrain-mae:1.36969\teval-mae:1.44193\n[79]\ttrain-mae:1.36677\teval-mae:1.43903\n[80]\ttrain-mae:1.36392\teval-mae:1.43636\n[81]\ttrain-mae:1.3612\teval-mae:1.43366\n[82]\ttrain-mae:1.35859\teval-mae:1.431\n[83]\ttrain-mae:1.35607\teval-mae:1.42846\n[84]\ttrain-mae:1.35366\teval-mae:1.42602\n[85]\ttrain-mae:1.35137\teval-mae:1.42374\n[86]\ttrain-mae:1.34916\teval-mae:1.42145\n[87]\ttrain-mae:1.34707\teval-mae:1.41923\n[88]\ttrain-mae:1.345\teval-mae:1.41704\n[89]\ttrain-mae:1.34306\teval-mae:1.41507\n[90]\ttrain-mae:1.34121\teval-mae:1.41305\n[91]\ttrain-mae:1.33937\teval-mae:1.41113\n[92]\ttrain-mae:1.33764\teval-mae:1.40927\n[93]\ttrain-mae:1.33597\teval-mae:1.40746\n[94]\ttrain-mae:1.33438\teval-mae:1.40579\n[95]\ttrain-mae:1.33287\teval-mae:1.40409\n[96]\ttrain-mae:1.33137\teval-mae:1.40247\n[97]\ttrain-mae:1.3299\teval-mae:1.40086\n[98]\ttrain-mae:1.32851\teval-mae:1.39944\n[99]\ttrain-mae:1.3272\teval-mae:1.39795\n[100]\ttrain-mae:1.32597\teval-mae:1.39661\n[101]\ttrain-mae:1.32475\teval-mae:1.39522\n[102]\ttrain-mae:1.32359\teval-mae:1.39385\n[103]\ttrain-mae:1.32244\teval-mae:1.39252\n[104]\ttrain-mae:1.32128\teval-mae:1.39123\n[105]\ttrain-mae:1.32018\teval-mae:1.39009\n[106]\ttrain-mae:1.31913\teval-mae:1.38888\n[107]\ttrain-mae:1.31808\teval-mae:1.38769\n[108]\ttrain-mae:1.3171\teval-mae:1.38658\n[109]\ttrain-mae:1.31615\teval-mae:1.38547\n[110]\ttrain-mae:1.3152\teval-mae:1.38443\n[111]\ttrain-mae:1.31425\teval-mae:1.38338\n[112]\ttrain-mae:1.31333\teval-mae:1.38246\n[113]\ttrain-mae:1.31254\teval-mae:1.38159\n[114]\ttrain-mae:1.31169\teval-mae:1.3806\n[115]\ttrain-mae:1.31094\teval-mae:1.37977\n[116]\ttrain-mae:1.31017\teval-mae:1.37891\n[117]\ttrain-mae:1.3094\teval-mae:1.37812\n[118]\ttrain-mae:1.30863\teval-mae:1.37727\n[119]\ttrain-mae:1.30798\teval-mae:1.37654\n[120]\ttrain-mae:1.30727\teval-mae:1.37575\n[121]\ttrain-mae:1.30653\teval-mae:1.37496\n[122]\ttrain-mae:1.30592\teval-mae:1.37432\n[123]\ttrain-mae:1.30528\teval-mae:1.37361\n[124]\ttrain-mae:1.30465\teval-mae:1.37292\n[125]\ttrain-mae:1.30408\teval-mae:1.37231\n[126]\ttrain-mae:1.30349\teval-mae:1.37168\n[127]\ttrain-mae:1.30294\teval-mae:1.37108\n[128]\ttrain-mae:1.30233\teval-mae:1.37044\n[129]\ttrain-mae:1.3018\teval-mae:1.3699\n[130]\ttrain-mae:1.30131\teval-mae:1.3694\n[131]\ttrain-mae:1.30079\teval-mae:1.36886\n[132]\ttrain-mae:1.30029\teval-mae:1.36835\n[133]\ttrain-mae:1.29984\teval-mae:1.36789\n[134]\ttrain-mae:1.29936\teval-mae:1.36733\n[135]\ttrain-mae:1.29898\teval-mae:1.3669\n[136]\ttrain-mae:1.29851\teval-mae:1.36644\n[137]\ttrain-mae:1.2981\teval-mae:1.36602\n[138]\ttrain-mae:1.29773\teval-mae:1.36563\n[139]\ttrain-mae:1.29731\teval-mae:1.36518\n[140]\ttrain-mae:1.29693\teval-mae:1.36478\n[141]\ttrain-mae:1.29656\teval-mae:1.36431\n[142]\ttrain-mae:1.29624\teval-mae:1.36395\n[143]\ttrain-mae:1.29586\teval-mae:1.36357\n[144]\ttrain-mae:1.29554\teval-mae:1.36324\n[145]\ttrain-mae:1.29524\teval-mae:1.36293\n[146]\ttrain-mae:1.29487\teval-mae:1.36258\n[147]\ttrain-mae:1.29456\teval-mae:1.36228\n[148]\ttrain-mae:1.29426\teval-mae:1.36202\n[149]\ttrain-mae:1.29395\teval-mae:1.36172\n[150]\ttrain-mae:1.29368\teval-mae:1.36145\n[151]\ttrain-mae:1.29345\teval-mae:1.36125\n[152]\ttrain-mae:1.29321\teval-mae:1.36101\n[153]\ttrain-mae:1.29291\teval-mae:1.3607\n[154]\ttrain-mae:1.29267\teval-mae:1.36047\n[155]\ttrain-mae:1.29244\teval-mae:1.36025\n[156]\ttrain-mae:1.29217\teval-mae:1.35993\n[157]\ttrain-mae:1.29193\teval-mae:1.3597\n[158]\ttrain-mae:1.29172\teval-mae:1.35949\n[159]\ttrain-mae:1.29147\teval-mae:1.35927\n[160]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\ttrain-mae:1.27804\teval-mae:1.3523\n[274]\ttrain-mae:1.27799\teval-mae:1.35227\n[275]\ttrain-mae:1.27794\teval-mae:1.35229\n[276]\ttrain-mae:1.27784\teval-mae:1.35229\n[277]\ttrain-mae:1.27773\teval-mae:1.35228\n[278]\ttrain-mae:1.27761\teval-mae:1.35231\n[279]\ttrain-mae:1.27752\teval-mae:1.35228\n[280]\ttrain-mae:1.27741\teval-mae:1.35229\n[281]\ttrain-mae:1.27729\teval-mae:1.35223\n[282]\ttrain-mae:1.27717\teval-mae:1.35221\n[283]\ttrain-mae:1.27713\teval-mae:1.35224\n[284]\ttrain-mae:1.27702\teval-mae:1.35225\n[285]\ttrain-mae:1.27697\teval-mae:1.35225\n[286]\ttrain-mae:1.2769\teval-mae:1.35231\n[287]\ttrain-mae:1.27686\teval-mae:1.35231\n[288]\ttrain-mae:1.27681\teval-mae:1.35232\n[289]\ttrain-mae:1.27671\teval-mae:1.35231\n[290]\ttrain-mae:1.27663\teval-mae:1.35232\n[291]\ttrain-mae:1.27656\teval-mae:1.35237\n[292]\ttrain-mae:1.27648\teval-mae:1.35234\n[293]\ttrain-mae:1.27643\teval-mae:1.35233\n[294]\ttrain-mae:1.27638\teval-mae:1.35231\n[295]\ttrain-mae:1.27629\teval-mae:1.35231\n[296]\ttrain-mae:1.27618\teval-mae:1.35232\n[297]\ttrain-mae:1.2761\teval-mae:1.35228\n[298]\ttrain-mae:1.27606\teval-mae:1.35231\n[299]\ttrain-mae:1.27601\teval-mae:1.35229\n[300]\ttrain-mae:1.27593\teval-mae:1.35228\n[301]\ttrain-mae:1.27581\teval-mae:1.35231\n[302]\ttrain-mae:1.27574\teval-mae:1.35237\n[303]\ttrain-mae:1.27563\teval-mae:1.35233\n[304]\ttrain-mae:1.27555\teval-mae:1.35233\n[305]\ttrain-mae:1.27552\teval-mae:1.35236\n[306]\ttrain-mae:1.27548\teval-mae:1.35235\n[307]\ttrain-mae:1.27536\teval-mae:1.35234\n[308]\ttrain-mae:1.27527\teval-mae:1.35236\n[309]\ttrain-mae:1.27519\teval-mae:1.3523\n[310]\ttrain-mae:1.27514\teval-mae:1.35231\n[311]\ttrain-mae:1.27507\teval-mae:1.35232\n[312]\ttrain-mae:1.27497\teval-mae:1.35234\n[313]\ttrain-mae:1.27486\teval-mae:1.3523\n[314]\ttrain-mae:1.27479\teval-mae:1.35226\n[315]\ttrain-mae:1.27472\teval-mae:1.35232\n[316]\ttrain-mae:1.2746\teval-mae:1.35233\n[317]\ttrain-mae:1.27451\teval-mae:1.35234\n[318]\ttrain-mae:1.27441\teval-mae:1.35232\n[319]\ttrain-mae:1.27429\teval-mae:1.35231\n[320]\ttrain-mae:1.2742\teval-mae:1.35233\n[321]\ttrain-mae:1.27409\teval-mae:1.35235\n[322]\ttrain-mae:1.27404\teval-mae:1.3524\n[323]\ttrain-mae:1.27399\teval-mae:1.35238\n[324]\ttrain-mae:1.27395\teval-mae:1.35241\n[325]\ttrain-mae:1.27387\teval-mae:1.35238\n[326]\ttrain-mae:1.27382\teval-mae:1.35237\n[327]\ttrain-mae:1.27372\teval-mae:1.35238\n[328]\ttrain-mae:1.27363\teval-mae:1.35238\n[329]\ttrain-mae:1.27354\teval-mae:1.35239\n[330]\ttrain-mae:1.27349\teval-mae:1.35239\n[331]\ttrain-mae:1.27338\teval-mae:1.35234\n[332]\ttrain-mae:1.27327\teval-mae:1.35232\n[333]\ttrain-mae:1.27315\teval-mae:1.35234\n[334]\ttrain-mae:1.27303\teval-mae:1.35246\n[335]\ttrain-mae:1.273\teval-mae:1.35246\n[336]\ttrain-mae:1.27295\teval-mae:1.35246\n[337]\ttrain-mae:1.27291\teval-mae:1.35247\n[338]\ttrain-mae:1.27282\teval-mae:1.35243\n[339]\ttrain-mae:1.27276\teval-mae:1.35249\n[340]\ttrain-mae:1.27264\teval-mae:1.35253\n[341]\ttrain-mae:1.27262\teval-mae:1.35256\n[342]\ttrain-mae:1.27253\teval-mae:1.35258\n[343]\ttrain-mae:1.27247\teval-mae:1.35255\n[344]\ttrain-mae:1.27239\teval-mae:1.35257\n[345]\ttrain-mae:1.2723\teval-mae:1.35257\n[346]\ttrain-mae:1.27224\teval-mae:1.35262\n[347]\ttrain-mae:1.27213\teval-mae:1.35265\n[348]\ttrain-mae:1.27209\teval-mae:1.35267\n[349]\ttrain-mae:1.27198\teval-mae:1.35266\n[350]\ttrain-mae:1.27188\teval-mae:1.35267\n[351]\ttrain-mae:1.27184\teval-mae:1.35266\n[352]\ttrain-mae:1.2718\teval-mae:1.35266\n[353]\ttrain-mae:1.2717\teval-mae:1.35265\n[354]\ttrain-mae:1.27163\teval-mae:1.35263\n[355]\ttrain-mae:1.2716\teval-mae:1.35265\n[356]\ttrain-mae:1.27153\teval-mae:1.3527\n[357]\ttrain-mae:1.2715\teval-mae:1.35271\n[358]\ttrain-mae:1.27141\teval-mae:1.35272\n[359]\ttrain-mae:1.27134\teval-mae:1.35268\n[360]\ttrain-mae:1.27127\teval-mae:1.3527\n[361]\ttrain-mae:1.27123\teval-mae:1.35268\n[362]\ttrain-mae:1.27112\teval-mae:1.35272\n[363]\ttrain-mae:1.27104\teval-mae:1.35269\n[364]\ttrain-mae:1.271\teval-mae:1.35268\n[365]\ttrain-mae:1.27093\teval-mae:1.35265\n[366]\ttrain-mae:1.27087\teval-mae:1.35271\n[367]\ttrain-mae:1.27082\teval-mae:1.35273\n[368]\ttrain-mae:1.27076\teval-mae:1.3527\n[369]\ttrain-mae:1.27072\teval-mae:1.35271\nStopping. Best iteration:\n[269]\ttrain-mae:1.27843\teval-mae:1.35214\n\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_new.describe()\n","execution_count":40,"outputs":[{"output_type":"execute_result","execution_count":40,"data":{"text/plain":"              Mean         skew     ...       moment       target\ncount  5001.000000  5001.000000     ...       5001.0  5001.000000\nmean      4.719400     0.025796     ...          0.0     5.711547\nstd       0.289536     0.193562     ...          0.0     1.536204\nmin       3.737549    -2.810577     ...          0.0     3.051591\n25%       4.513916    -0.039210     ...          0.0     4.381591\n50%       4.718994     0.011495     ...          0.0     5.711592\n75%       4.924561     0.067961     ...          0.0     7.041492\nmax       5.571533     4.673787     ...          0.0     8.371493\n\n[8 rows x 29 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Mean</th>\n      <th>skew</th>\n      <th>kurtosis</th>\n      <th>mean_norm</th>\n      <th>mean_skew</th>\n      <th>kurtoris_norm</th>\n      <th>min</th>\n      <th>max</th>\n      <th>percent0</th>\n      <th>percent1</th>\n      <th>percent2</th>\n      <th>percent3</th>\n      <th>percent4</th>\n      <th>percent5</th>\n      <th>percent6</th>\n      <th>percent7</th>\n      <th>percent8</th>\n      <th>percent9</th>\n      <th>percent10</th>\n      <th>percent11</th>\n      <th>percent12</th>\n      <th>percent13</th>\n      <th>percent14</th>\n      <th>percent15</th>\n      <th>percent16</th>\n      <th>percent17</th>\n      <th>percent18</th>\n      <th>moment</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5.001000e+03</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.000000</td>\n      <td>5001.0</td>\n      <td>5001.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>4.719400</td>\n      <td>0.025796</td>\n      <td>3.662733</td>\n      <td>-4.037597e-18</td>\n      <td>0.025796</td>\n      <td>3.662733</td>\n      <td>-20.268346</td>\n      <td>30.336933</td>\n      <td>-7.726905</td>\n      <td>-4.998280</td>\n      <td>-3.482553</td>\n      <td>-2.458548</td>\n      <td>-1.758798</td>\n      <td>-1.223315</td>\n      <td>-0.762507</td>\n      <td>-0.380524</td>\n      <td>-0.073795</td>\n      <td>9.250950</td>\n      <td>9.518826</td>\n      <td>9.837712</td>\n      <td>10.208318</td>\n      <td>10.660108</td>\n      <td>11.209158</td>\n      <td>11.922695</td>\n      <td>12.926105</td>\n      <td>14.448650</td>\n      <td>17.164957</td>\n      <td>0.0</td>\n      <td>5.711547</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>0.289536</td>\n      <td>0.193562</td>\n      <td>6.219199</td>\n      <td>3.138242e-16</td>\n      <td>0.193562</td>\n      <td>6.219199</td>\n      <td>24.653113</td>\n      <td>25.866872</td>\n      <td>11.117445</td>\n      <td>7.794595</td>\n      <td>5.838835</td>\n      <td>4.583071</td>\n      <td>3.732901</td>\n      <td>3.075888</td>\n      <td>2.604294</td>\n      <td>2.218471</td>\n      <td>1.911943</td>\n      <td>1.767176</td>\n      <td>1.991413</td>\n      <td>2.316966</td>\n      <td>2.719399</td>\n      <td>3.258571</td>\n      <td>3.896741</td>\n      <td>4.768664</td>\n      <td>5.970572</td>\n      <td>7.848284</td>\n      <td>11.102782</td>\n      <td>0.0</td>\n      <td>1.536204</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>3.737549</td>\n      <td>-2.810577</td>\n      <td>-0.236725</td>\n      <td>-3.580361e-15</td>\n      <td>-2.810577</td>\n      <td>-0.236725</td>\n      <td>-574.000000</td>\n      <td>12.000000</td>\n      <td>-208.000000</td>\n      <td>-161.100000</td>\n      <td>-128.000000</td>\n      <td>-101.200000</td>\n      <td>-86.250000</td>\n      <td>-72.000000</td>\n      <td>-56.000000</td>\n      <td>-46.000000</td>\n      <td>-37.000000</td>\n      <td>7.000000</td>\n      <td>7.000000</td>\n      <td>7.000000</td>\n      <td>8.000000</td>\n      <td>8.000000</td>\n      <td>8.000000</td>\n      <td>8.000000</td>\n      <td>9.000000</td>\n      <td>9.000000</td>\n      <td>10.000000</td>\n      <td>0.0</td>\n      <td>3.051591</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>4.513916</td>\n      <td>-0.039210</td>\n      <td>0.139836</td>\n      <td>-7.828617e-17</td>\n      <td>-0.039210</td>\n      <td>0.139836</td>\n      <td>-24.000000</td>\n      <td>16.000000</td>\n      <td>-9.000000</td>\n      <td>-5.000000</td>\n      <td>-4.000000</td>\n      <td>-3.000000</td>\n      <td>-2.000000</td>\n      <td>-1.000000</td>\n      <td>-1.000000</td>\n      <td>-1.000000</td>\n      <td>0.000000</td>\n      <td>8.000000</td>\n      <td>8.000000</td>\n      <td>9.000000</td>\n      <td>9.000000</td>\n      <td>9.000000</td>\n      <td>9.000000</td>\n      <td>10.000000</td>\n      <td>10.000000</td>\n      <td>11.000000</td>\n      <td>11.000000</td>\n      <td>0.0</td>\n      <td>4.381591</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>4.718994</td>\n      <td>0.011495</td>\n      <td>1.046035</td>\n      <td>1.355253e-18</td>\n      <td>0.011495</td>\n      <td>1.046035</td>\n      <td>-11.000000</td>\n      <td>21.000000</td>\n      <td>-4.000000</td>\n      <td>-2.000000</td>\n      <td>-2.000000</td>\n      <td>-1.000000</td>\n      <td>-1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>9.000000</td>\n      <td>9.000000</td>\n      <td>9.000000</td>\n      <td>10.000000</td>\n      <td>10.000000</td>\n      <td>10.000000</td>\n      <td>11.000000</td>\n      <td>11.000000</td>\n      <td>12.000000</td>\n      <td>13.000000</td>\n      <td>0.0</td>\n      <td>5.711592</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>4.924561</td>\n      <td>0.067961</td>\n      <td>4.935454</td>\n      <td>8.088148e-17</td>\n      <td>0.067961</td>\n      <td>4.935454</td>\n      <td>-6.000000</td>\n      <td>34.000000</td>\n      <td>-2.000000</td>\n      <td>-1.000000</td>\n      <td>-1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>10.000000</td>\n      <td>10.000000</td>\n      <td>10.000000</td>\n      <td>11.000000</td>\n      <td>11.000000</td>\n      <td>12.000000</td>\n      <td>12.000000</td>\n      <td>13.000000</td>\n      <td>15.000000</td>\n      <td>18.000000</td>\n      <td>0.0</td>\n      <td>7.041492</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>5.571533</td>\n      <td>4.673787</td>\n      <td>156.296704</td>\n      <td>2.934624e-15</td>\n      <td>4.673787</td>\n      <td>156.296704</td>\n      <td>-3.000000</td>\n      <td>523.000000</td>\n      <td>-1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>41.000000</td>\n      <td>45.450000</td>\n      <td>59.000000</td>\n      <td>71.350000</td>\n      <td>91.300000</td>\n      <td>104.000000</td>\n      <td>121.000000</td>\n      <td>143.000000</td>\n      <td>171.300000</td>\n      <td>212.050000</td>\n      <td>0.0</td>\n      <td>8.371493</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}},{"output_type":"stream","text":"\n\n\n\n\n\n5000it [02:07, 44.38it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A","name":"stderr"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Y","execution_count":22,"outputs":[{"output_type":"execute_result","execution_count":22,"data":{"text/plain":"0     2.368096\n0     2.366996\n0     2.365896\n0     2.364896\n0     2.363796\n0     2.362796\n0     2.361696\n0     2.360596\n0     2.359596\n0     2.358496\n0     2.357396\n0     2.356396\n0     2.355296\n0     2.354196\n0     2.353196\n0     2.352096\n0     2.351096\n0     2.349996\n0     2.348896\n0     2.347896\n0     2.346796\n0     2.345696\n0     2.344696\n0     2.343596\n0     2.342496\n0     2.341496\n0     2.340396\n0     2.339296\n0     2.338296\n0     2.337196\n       ...    \n0    11.259995\n0    11.258895\n0    11.257795\n0    11.256795\n0    11.255695\n0    11.254595\n0    11.253595\n0    11.252495\n0    11.251495\n0    11.250395\n0    11.249295\n0    11.248295\n0    11.247195\n0    11.246095\n0    11.245095\n0    11.243995\n0    11.242895\n0    11.241895\n0    11.240795\n0    11.239695\n0    11.238695\n0    11.237595\n0    11.236595\n0    11.235495\n0    11.234395\n0    11.233395\n0    11.232295\n0    11.231195\n0    11.230195\n0    11.229095\nName: target, Length: 5001, dtype: float64"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}