charlson_stats.ipynb

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       "((48907, 9),\n",
       " Index(['text', 'target', 'reg', 'days', 'dias', 'dtini', 'dtend', 'evolucoes',\n",
       "        'wc'],\n",
       "       dtype='object'))"
      ]
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     "execution_count": 1,
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   "source": [
    "import pandas as pd\n",
    "patients = pd.read_csv('internacoes_charlson_zero.csv.gz', compression='gzip', verbose=True)\n",
    "patients.shape,patients.columns"
   ]
  },
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    "patients['days'].mean(), patients['target'].mean()"
   ]
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    "patients['evolucoes'].sum()"
   ]
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     "execution_count": 6,
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   ],
   "source": [
    "from scipy.stats import spearmanr, pearsonr\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
    "from math import sqrt\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "target = patients['target'].values\n",
    "pred_full = np.full((len(target), 1), np.mean(target))\n",
    "\n",
    "err_mean = mean_absolute_error(pred_full , target)\n",
    "\n",
    "err_mean"
   ]
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  }
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