clases/notebooks/demo_11_Recommender_systems.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sistemas de recomendación\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install scikit-surprise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "from surprise import Reader\n",
    "from surprise import Dataset\n",
    "from surprise.model_selection import cross_validate\n",
    "from surprise import NormalPredictor\n",
    "from surprise import KNNBasic\n",
    "from surprise import KNNWithMeans\n",
    "from surprise import KNNWithZScore\n",
    "from surprise import KNNBaseline\n",
    "from surprise import SVD\n",
    "from surprise import BaselineOnly\n",
    "from surprise import NMF\n",
    "from surprise import SlopeOne\n",
    "from surprise import CoClustering\n",
    "from surprise import accuracy\n",
    "from surprise.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookRating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>0195153448</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>034542252</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>0002005018</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8</td>\n",
       "      <td>0060973129</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>0374157065</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userID        ISBN  bookRating\n",
       "0       2  0195153448           0\n",
       "1       7   034542252           0\n",
       "2       8  0002005018           5\n",
       "3       8  0060973129           0\n",
       "4       8  0374157065           0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user = pd.read_csv(\n",
    "    'https://github.com/DiploDatos/AprendizajeSupervisado/raw/master/Te%C3%B3rico/demo_11_dataset/BX-Users.csv', sep=';', encoding=\"latin-1\")\n",
    "\n",
    "user.columns = ['userID', 'Location', 'Age']\n",
    "\n",
    "rating = pd.read_csv(\n",
    "    'https://github.com/DiploDatos/AprendizajeSupervisado/raw/master/Te%C3%B3rico/demo_11_dataset/BX-Book-Ratings.csv', sep=';', encoding=\"latin-1\")\n",
    "\n",
    "rating.columns = ['userID', 'ISBN', 'bookRating']\n",
    "\n",
    "df = pd.merge(user, rating, on='userID', how='inner')\n",
    "\n",
    "df.drop(['Location', 'Age'], axis=1, inplace=True)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1149780 entries, 0 to 1149779\n",
      "Data columns (total 3 columns):\n",
      " #   Column      Non-Null Count    Dtype \n",
      "---  ------      --------------    ----- \n",
      " 0   userID      1149780 non-null  int64 \n",
      " 1   ISBN        1149780 non-null  object\n",
      " 2   bookRating  1149780 non-null  int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 26.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Veamos la distribución de las valoraciones\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df['bookRating'].value_counts().sort_index(ascending=False)\n",
    "\n",
    "p1 = plt.bar(data.index, data.values)\n",
    "\n",
    "for rect1 in p1:\n",
    "    height = rect1.get_height()\n",
    "    plt.annotate(f\"{height/data.values.sum()*100:.2f}%\", (rect1.get_x() +\n",
    "                 rect1.get_width()/2, height+.05), ha=\"center\", va=\"bottom\", fontsize=8)\n",
    "\n",
    "plt.xticks(np.arange(0, 11, 1))\n",
    "plt.ylabel('Cantidad de libros')\n",
    "plt.xlabel('Valoración')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Veamos cómo es la distribución de número de valoraciones por libro\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df.groupby('ISBN')['bookRating'].count()\n",
    "\n",
    "data.clip(upper=50).hist(bins=50)\n",
    "plt.xlabel('Cantidad de valoraciones por libro')\n",
    "plt.ylabel('Cantidad de libros')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ISBN\n",
       "0971880107    2502\n",
       "0316666343    1295\n",
       "0385504209     883\n",
       "0060928336     732\n",
       "0312195516     723\n",
       "044023722X     647\n",
       "0679781587     639\n",
       "0142001740     615\n",
       "067976402X     614\n",
       "0671027360     586\n",
       "Name: bookRating, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Los 10 libros más votados\n",
    "data.sort_values(ascending=False)[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora podemos pensar en la distribución de cantidad de valoraciones por usuario\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df.groupby('userID')['bookRating'].count()\n",
    "data.clip(upper=50).hist(bins=50)\n",
    "plt.xlabel('Cantidad de valoraciones por usuario')\n",
    "plt.ylabel('Cantidad de usuarios')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La mayoria de los usuarios dan menos de 10 valoraciones. Cuántas valoraciones dio el usuario más activo?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookRating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>0195153448</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>034542252</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>0002005018</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8</td>\n",
       "      <td>0060973129</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>0374157065</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149775</th>\n",
       "      <td>278854</td>\n",
       "      <td>0425163393</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149776</th>\n",
       "      <td>278854</td>\n",
       "      <td>0515087122</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149777</th>\n",
       "      <td>278854</td>\n",
       "      <td>0553275739</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149778</th>\n",
       "      <td>278854</td>\n",
       "      <td>0553578596</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149779</th>\n",
       "      <td>278854</td>\n",
       "      <td>0553579606</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1149780 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         userID        ISBN  bookRating\n",
       "0             2  0195153448           0\n",
       "1             7   034542252           0\n",
       "2             8  0002005018           5\n",
       "3             8  0060973129           0\n",
       "4             8  0374157065           0\n",
       "...         ...         ...         ...\n",
       "1149775  278854  0425163393           7\n",
       "1149776  278854  0515087122           0\n",
       "1149777  278854  0553275739           6\n",
       "1149778  278854  0553578596           0\n",
       "1149779  278854  0553579606           8\n",
       "\n",
       "[1149780 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "userID\n",
       "11676     13602\n",
       "198711     7550\n",
       "153662     6109\n",
       "98391      5891\n",
       "35859      5850\n",
       "Name: bookRating, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('userID')['bookRating'].count().sort_values(ascending=False)[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tanto el número de valoraciones por libro y el número de valoraciones por usuario tienen distribuciones que decaen exponencialmente!\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para evitar problemas de memoria, vamos a filtrar los libros y los usuarios \"outlayers\".\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The original data frame shape:\t(1149780, 3)\n",
      "The new data frame shape:\t(140516, 3)\n"
     ]
    }
   ],
   "source": [
    "min_book_ratings = 50\n",
    "filter_books = df['ISBN'].value_counts() > min_book_ratings\n",
    "filter_books = filter_books[filter_books].index.tolist()\n",
    "\n",
    "min_user_ratings = 50\n",
    "filter_users = df['userID'].value_counts() > min_user_ratings\n",
    "filter_users = filter_users[filter_users].index.tolist()\n",
    "\n",
    "df_new = df[(df['ISBN'].isin(filter_books)) &\n",
    "            (df['userID'].isin(filter_users))]\n",
    "print('The original data frame shape:\\t{}'.format(df.shape))\n",
    "print('The new data frame shape:\\t{}'.format(df_new.shape))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Armamos un array booleano que nos indica cuáles ISBN's cumplen con la condición lógica de al menos tener 50 ratings\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ISBN\n",
       "0971880107     True\n",
       "0316666343     True\n",
       "0385504209     True\n",
       "0060928336     True\n",
       "0312195516     True\n",
       "              ...  \n",
       "0916211223    False\n",
       "0916211231    False\n",
       "0916211274    False\n",
       "0916211282    False\n",
       "1569661057    False\n",
       "Name: count, Length: 340556, dtype: bool"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_book_ratings = 50\n",
    "filter_books = df['ISBN'].value_counts() > min_book_ratings\n",
    "filter_books"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Luego, nos quedamos sólo con los que los cumplen\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " ...]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filter_books = filter_books[filter_books].index.tolist()\n",
    "filter_books"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ISBN\n",
       "0971880107    2502\n",
       "0316666343    1295\n",
       "0385504209     883\n",
       "0060928336     732\n",
       "0312195516     723\n",
       "              ... \n",
       "0812513711      51\n",
       "0671020293      51\n",
       "0670896764      51\n",
       "0394281802      51\n",
       "0446613053      51\n",
       "Name: count, Length: 2125, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "condicion1 = (df['ISBN'].isin(filter_books))\n",
    "df[condicion1]['ISBN'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hacemos lo mismo con los usuarios\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_user_ratings = 50\n",
    "filter_users = df['userID'].value_counts() > min_user_ratings\n",
    "filter_users = filter_users[filter_users].index.tolist()\n",
    "condicion2 = (df['userID'].isin(filter_users))\n",
    "df_new = df[(condicion2 & condicion1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df_new.groupby('userID')['bookRating'].count()\n",
    "data.clip(upper=50).hist(bins=50)\n",
    "plt.xlabel('Cantidad de valoraciones por usuario')\n",
    "plt.ylabel('Cantidad de usuarios')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df_new.groupby('ISBN')['bookRating'].count()\n",
    "\n",
    "data.clip(upper=50).hist(bins=50)\n",
    "plt.xlabel('Cantidad de valoraciones por libro')\n",
    "plt.ylabel('Cantidad de libros')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Búsqueda del mejor modelo\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "test_rmse    3.529184\n",
      "fit_time     0.796471\n",
      "test_time    0.255839\n",
      "Algorithm         SVD\n",
      "dtype: object\n",
      "1\n",
      "test_rmse     3.46212\n",
      "fit_time     0.517012\n",
      "test_time    2.384688\n",
      "Algorithm    SlopeOne\n",
      "dtype: object\n",
      "2\n",
      "test_rmse    3.865731\n",
      "fit_time     1.748216\n",
      "test_time    0.220005\n",
      "Algorithm         NMF\n",
      "dtype: object\n",
      "3\n",
      "test_rmse           4.598378\n",
      "fit_time               0.096\n",
      "test_time              0.211\n",
      "Algorithm    NormalPredictor\n",
      "dtype: object\n",
      "4\n",
      "Estimating biases using als...\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Estimating biases using als...\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Estimating biases using als...\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "test_rmse       3.482644\n",
      "fit_time        0.749754\n",
      "test_time       3.115554\n",
      "Algorithm    KNNBaseline\n",
      "dtype: object\n",
      "5\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "test_rmse    3.687375\n",
      "fit_time     0.526351\n",
      "test_time    2.539071\n",
      "Algorithm    KNNBasic\n",
      "dtype: object\n",
      "6\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "test_rmse        3.483504\n",
      "fit_time         0.559675\n",
      "test_time         2.77833\n",
      "Algorithm    KNNWithMeans\n",
      "dtype: object\n",
      "7\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "Computing the msd similarity matrix...\n",
      "Done computing similarity matrix.\n",
      "test_rmse         3.501789\n",
      "fit_time          0.669859\n",
      "test_time         2.936385\n",
      "Algorithm    KNNWithZScore\n",
      "dtype: object\n",
      "8\n",
      "Estimating biases using als...\n",
      "Estimating biases using als...\n",
      "Estimating biases using als...\n",
      "test_rmse        3.386847\n",
      "fit_time         0.183673\n",
      "test_time        0.247337\n",
      "Algorithm    BaselineOnly\n",
      "dtype: object\n",
      "9\n",
      "test_rmse        3.460214\n",
      "fit_time         1.980391\n",
      "test_time        0.247676\n",
      "Algorithm    CoClustering\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "reader = Reader(rating_scale=(1, 10))  # 0 = N/A\n",
    "data = Dataset.load_from_df(df_new[['userID', 'ISBN', 'bookRating']], reader)\n",
    "\n",
    "benchmark = []\n",
    "# Iterate over all algorithms\n",
    "for i, algorithm in enumerate([SVD(), SlopeOne(), NMF(), NormalPredictor(), KNNBaseline(),  # SVDpp\n",
    "                               KNNBasic(), KNNWithMeans(), KNNWithZScore(), BaselineOnly(), CoClustering()]):\n",
    "    # Perform cross validation\n",
    "    print(i)\n",
    "    try:\n",
    "        results = cross_validate(algorithm, data, measures=[\n",
    "                                 'RMSE'], cv=3, verbose=False)\n",
    "        # Get results & append algorithm name\n",
    "        tmp = pd.DataFrame.from_dict(results).mean(axis=0)\n",
    "        tmp = tmp._append(pd.Series([str(algorithm).split(\n",
    "            ' ')[0].split('.')[-1]], index=['Algorithm']))\n",
    "        benchmark.append(tmp)\n",
    "        print(tmp)\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Overview](https://www.kdnuggets.com/2017/08/recommendation-system-algorithms-overview.html) de los algoritmos\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Algunos:\n",
    "\n",
    "- NormalPredictor : $\\hat{r}_{ui}$ se muestrea de una distribución gaussiana con media $\\hat{\\mu}$ y desvío $\\hat{\\sigma}^2$ obtenidos por máxima verosimilitud utilizando los datos de entrenamiento.\n",
    "\n",
    "- [BaselineOnly](https://surprise.readthedocs.io/en/stable/prediction_algorithms.html#baseline-estimates-configuration) : $\\hat{r}_{ui} = \\mu + b_u + b_i$\n",
    "\n",
    "- [kNNBasic](https://surprise.readthedocs.io/en/stable/prediction_algorithms.html#similarity-measures-configuration) : $\\hat{r}_{ui} = \\frac{\\sum_{v \\in vecinos}sim(u,v) \\cdot r_{vi}}{\\sum_{v \\in vecinos} sim(u,v)}$\n",
    "\n",
    "- [Matrix factorization](https://surprise.readthedocs.io/en/stable/matrix_factorization.html) : $\\hat{r}_{ui} = \\mu + b_u + b_i + q_i^T p_u$ (si $\\mu$, $b_u$ y $b_i$ son 0 se llama Probabilistic Matrix Factorization)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[test_rmse    3.529184\n",
       " fit_time     0.796471\n",
       " test_time    0.255839\n",
       " Algorithm         SVD\n",
       " dtype: object,\n",
       " test_rmse     3.46212\n",
       " fit_time     0.517012\n",
       " test_time    2.384688\n",
       " Algorithm    SlopeOne\n",
       " dtype: object,\n",
       " test_rmse    3.865731\n",
       " fit_time     1.748216\n",
       " test_time    0.220005\n",
       " Algorithm         NMF\n",
       " dtype: object,\n",
       " test_rmse           4.598378\n",
       " fit_time               0.096\n",
       " test_time              0.211\n",
       " Algorithm    NormalPredictor\n",
       " dtype: object,\n",
       " test_rmse       3.482644\n",
       " fit_time        0.749754\n",
       " test_time       3.115554\n",
       " Algorithm    KNNBaseline\n",
       " dtype: object,\n",
       " test_rmse    3.687375\n",
       " fit_time     0.526351\n",
       " test_time    2.539071\n",
       " Algorithm    KNNBasic\n",
       " dtype: object,\n",
       " test_rmse        3.483504\n",
       " fit_time         0.559675\n",
       " test_time         2.77833\n",
       " Algorithm    KNNWithMeans\n",
       " dtype: object,\n",
       " test_rmse         3.501789\n",
       " fit_time          0.669859\n",
       " test_time         2.936385\n",
       " Algorithm    KNNWithZScore\n",
       " dtype: object,\n",
       " test_rmse        3.386847\n",
       " fit_time         0.183673\n",
       " test_time        0.247337\n",
       " Algorithm    BaselineOnly\n",
       " dtype: object,\n",
       " test_rmse        3.460214\n",
       " fit_time         1.980391\n",
       " test_time        0.247676\n",
       " Algorithm    CoClustering\n",
       " dtype: object]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_rmse</th>\n",
       "      <th>fit_time</th>\n",
       "      <th>test_time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algorithm</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BaselineOnly</th>\n",
       "      <td>3.386847</td>\n",
       "      <td>0.183673</td>\n",
       "      <td>0.247337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CoClustering</th>\n",
       "      <td>3.460214</td>\n",
       "      <td>1.980391</td>\n",
       "      <td>0.247676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SlopeOne</th>\n",
       "      <td>3.462120</td>\n",
       "      <td>0.517012</td>\n",
       "      <td>2.384688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNNBaseline</th>\n",
       "      <td>3.482644</td>\n",
       "      <td>0.749754</td>\n",
       "      <td>3.115554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNNWithMeans</th>\n",
       "      <td>3.483504</td>\n",
       "      <td>0.559675</td>\n",
       "      <td>2.778330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNNWithZScore</th>\n",
       "      <td>3.501789</td>\n",
       "      <td>0.669859</td>\n",
       "      <td>2.936385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVD</th>\n",
       "      <td>3.529184</td>\n",
       "      <td>0.796471</td>\n",
       "      <td>0.255839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNNBasic</th>\n",
       "      <td>3.687375</td>\n",
       "      <td>0.526351</td>\n",
       "      <td>2.539071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NMF</th>\n",
       "      <td>3.865731</td>\n",
       "      <td>1.748216</td>\n",
       "      <td>0.220005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NormalPredictor</th>\n",
       "      <td>4.598378</td>\n",
       "      <td>0.096000</td>\n",
       "      <td>0.211000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 test_rmse  fit_time  test_time\n",
       "Algorithm                                      \n",
       "BaselineOnly      3.386847  0.183673   0.247337\n",
       "CoClustering      3.460214  1.980391   0.247676\n",
       "SlopeOne          3.462120  0.517012   2.384688\n",
       "KNNBaseline       3.482644  0.749754   3.115554\n",
       "KNNWithMeans      3.483504  0.559675   2.778330\n",
       "KNNWithZScore     3.501789  0.669859   2.936385\n",
       "SVD               3.529184  0.796471   0.255839\n",
       "KNNBasic          3.687375  0.526351   2.539071\n",
       "NMF               3.865731  1.748216   0.220005\n",
       "NormalPredictor   4.598378  0.096000   0.211000"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surprise_results = pd.DataFrame(benchmark).set_index(\n",
    "    'Algorithm').sort_values('test_rmse')\n",
    "\n",
    "surprise_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Selección de modelo y selección de hiperparámetros\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nos quedamos con el algoritmo `BaselineOnly()`. Además vamos a utilizar el método [Alternating Least Squares](https://sophwats.github.io/2018-04-05-gentle-als.html) para encontrar los $b_u$ y $b_i$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using ALS\n",
      "Estimating biases using als...\n",
      "Estimating biases using als...\n",
      "Estimating biases using als...\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'test_rmse': array([3.36869256, 3.39266491, 3.38793465]),\n",
       " 'fit_time': (0.09599995613098145, 0.11800003051757812, 0.11900067329406738),\n",
       " 'test_time': (0.1809999942779541, 0.18200016021728516, 0.1809992790222168)}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Using ALS')\n",
    "bsl_options = {'method': 'als',\n",
    "               'n_epochs': 5,\n",
    "               'reg_u': 12,\n",
    "               'reg_i': 5\n",
    "               }\n",
    "algo = BaselineOnly(bsl_options=bsl_options)\n",
    "cross_validate(algo, data, measures=['RMSE'], cv=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimating biases using als...\n"
     ]
    }
   ],
   "source": [
    "trainset, testset = train_test_split(data, test_size=0.25)\n",
    "algo = BaselineOnly(bsl_options=bsl_options)\n",
    "predictions = algo.fit(trainset).test(testset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analizando los resultados\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Prediction(uid=184532, iid='0345391055', r_ui=0.0, est=4.56943160457701, details={'was_impossible': False}),\n",
       " Prediction(uid=16916, iid='0440222656', r_ui=7.0, est=1.3692118772688908, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0440219078', r_ui=7.0, est=5.805108313741267, details={'was_impossible': False}),\n",
       " Prediction(uid=57398, iid='0446605239', r_ui=0.0, est=3.7552795607077596, details={'was_impossible': False}),\n",
       " Prediction(uid=12538, iid='038542471X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=129465, iid='0425122123', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=13552, iid='0670032379', r_ui=0.0, est=3.9947992022498706, details={'was_impossible': False}),\n",
       " Prediction(uid=162052, iid='0684195488', r_ui=0.0, est=4.325329169617912, details={'was_impossible': False}),\n",
       " Prediction(uid=236757, iid='067164257X', r_ui=0.0, est=2.270320761687512, details={'was_impossible': False}),\n",
       " Prediction(uid=28619, iid='0385503822', r_ui=0.0, est=2.5933736990640273, details={'was_impossible': False}),\n",
       " Prediction(uid=70052, iid='042516098X', r_ui=6.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='1400031699', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=207563, iid='0062502182', r_ui=0.0, est=2.028102181168687, details={'was_impossible': False}),\n",
       " Prediction(uid=163973, iid='0553576089', r_ui=9.0, est=4.576688078229916, details={'was_impossible': False}),\n",
       " Prediction(uid=127429, iid='0684815451', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=128208, iid='0446672211', r_ui=10.0, est=1.8373944373992441, details={'was_impossible': False}),\n",
       " Prediction(uid=191188, iid='044022165X', r_ui=0.0, est=1.433738086588852, details={'was_impossible': False}),\n",
       " Prediction(uid=265115, iid='0671888587', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=130474, iid='0446607711', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=150124, iid='0345389417', r_ui=0.0, est=1.3448196322596788, details={'was_impossible': False}),\n",
       " Prediction(uid=89602, iid='0142001740', r_ui=9.0, est=5.00086504289931, details={'was_impossible': False}),\n",
       " Prediction(uid=234597, iid='0553279912', r_ui=0.0, est=3.206131251560121, details={'was_impossible': False}),\n",
       " Prediction(uid=153718, iid='0399145087', r_ui=0.0, est=3.699998295696338, details={'was_impossible': False}),\n",
       " Prediction(uid=93363, iid='055329170X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0449217493', r_ui=5.0, est=5.332744134203353, details={'was_impossible': False}),\n",
       " Prediction(uid=16795, iid='0061099341', r_ui=0.0, est=2.745190455468081, details={'was_impossible': False}),\n",
       " Prediction(uid=37019, iid='0671021001', r_ui=0.0, est=1.8270696065280254, details={'was_impossible': False}),\n",
       " Prediction(uid=207246, iid='0140113428', r_ui=7.0, est=1.8991255644290244, details={'was_impossible': False}),\n",
       " Prediction(uid=31315, iid='0684867621', r_ui=9.0, est=2.6902539293938514, details={'was_impossible': False}),\n",
       " Prediction(uid=181176, iid='0743457358', r_ui=8.0, est=1.851202575489741, details={'was_impossible': False}),\n",
       " Prediction(uid=196077, iid='044651652X', r_ui=0.0, est=1.4616842427621695, details={'was_impossible': False}),\n",
       " Prediction(uid=177458, iid='0380718332', r_ui=0.0, est=1.408701788875249, details={'was_impossible': False}),\n",
       " Prediction(uid=211426, iid='0345409671', r_ui=9.0, est=1.0591245475635873, details={'was_impossible': False}),\n",
       " Prediction(uid=263325, iid='0440206154', r_ui=8.0, est=3.2444103557211856, details={'was_impossible': False}),\n",
       " Prediction(uid=119364, iid='0451167317', r_ui=0.0, est=2.0235964142109504, details={'was_impossible': False}),\n",
       " Prediction(uid=266865, iid='0804106304', r_ui=0.0, est=2.3864492731567597, details={'was_impossible': False}),\n",
       " Prediction(uid=236172, iid='0375760911', r_ui=8.0, est=2.675620922867965, details={'was_impossible': False}),\n",
       " Prediction(uid=30487, iid='0449907481', r_ui=0.0, est=1.2195867904786417, details={'was_impossible': False}),\n",
       " Prediction(uid=107453, iid='0451176464', r_ui=0.0, est=2.2417940092773962, details={'was_impossible': False}),\n",
       " Prediction(uid=87141, iid='0439136369', r_ui=0.0, est=3.594707392277723, details={'was_impossible': False}),\n",
       " Prediction(uid=141901, iid='0375719180', r_ui=0.0, est=2.956513242540671, details={'was_impossible': False}),\n",
       " Prediction(uid=170810, iid='0140039589', r_ui=0.0, est=1.3576831663510487, details={'was_impossible': False}),\n",
       " Prediction(uid=78783, iid='0446670251', r_ui=0.0, est=1.5860480105427475, details={'was_impossible': False}),\n",
       " Prediction(uid=247241, iid='0515116750', r_ui=7.0, est=4.714791481373693, details={'was_impossible': False}),\n",
       " Prediction(uid=235105, iid='0440221099', r_ui=0.0, est=2.041741281754694, details={'was_impossible': False}),\n",
       " Prediction(uid=275922, iid='0553569155', r_ui=0.0, est=1.3940460654334523, details={'was_impossible': False}),\n",
       " Prediction(uid=126736, iid='0671758896', r_ui=0.0, est=1.91280488438812, details={'was_impossible': False}),\n",
       " Prediction(uid=260699, iid='0671693816', r_ui=9.0, est=2.377597381735773, details={'was_impossible': False}),\n",
       " Prediction(uid=43246, iid='0446605239', r_ui=9.0, est=1.5967698544384026, details={'was_impossible': False}),\n",
       " Prediction(uid=55492, iid='0553277472', r_ui=0.0, est=1.0423596963907682, details={'was_impossible': False}),\n",
       " Prediction(uid=21014, iid='014023313X', r_ui=3.0, est=1.2172339287019907, details={'was_impossible': False}),\n",
       " Prediction(uid=184299, iid='0060976497', r_ui=0.0, est=1.999151472187374, details={'was_impossible': False}),\n",
       " Prediction(uid=4157, iid='0446608262', r_ui=0.0, est=1.9073435154452318, details={'was_impossible': False}),\n",
       " Prediction(uid=187517, iid='0671894455', r_ui=8.0, est=1.4355951525166293, details={'was_impossible': False}),\n",
       " Prediction(uid=7346, iid='0380725827', r_ui=8.0, est=2.275038305961984, details={'was_impossible': False}),\n",
       " Prediction(uid=105979, iid='0449910237', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=135703, iid='002542730X', r_ui=0.0, est=3.5602703865611005, details={'was_impossible': False}),\n",
       " Prediction(uid=55492, iid='0553272837', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=16155, iid='0446673544', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=190459, iid='0385504209', r_ui=0.0, est=2.5718024700733744, details={'was_impossible': False}),\n",
       " Prediction(uid=31987, iid='0671759329', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=154773, iid='0345384466', r_ui=8.0, est=1.9982631428902313, details={'was_impossible': False}),\n",
       " Prediction(uid=151537, iid='0449213943', r_ui=0.0, est=1.423709777506295, details={'was_impossible': False}),\n",
       " Prediction(uid=37950, iid='0671729411', r_ui=0.0, est=4.113719870580059, details={'was_impossible': False}),\n",
       " Prediction(uid=130474, iid='0449219364', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=80075, iid='0385504209', r_ui=8.0, est=3.4288870770917574, details={'was_impossible': False}),\n",
       " Prediction(uid=224525, iid='043936213X', r_ui=10.0, est=4.176667272887699, details={'was_impossible': False}),\n",
       " Prediction(uid=255618, iid='0440224845', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=126492, iid='0385505833', r_ui=0.0, est=5.252968563183373, details={'was_impossible': False}),\n",
       " Prediction(uid=229409, iid='0156028778', r_ui=10.0, est=3.619833034621966, details={'was_impossible': False}),\n",
       " Prediction(uid=30276, iid='0684832178', r_ui=0.0, est=2.839837739246296, details={'was_impossible': False}),\n",
       " Prediction(uid=252347, iid='0515135062', r_ui=0.0, est=2.9187698024796416, details={'was_impossible': False}),\n",
       " Prediction(uid=246634, iid='0345387651', r_ui=0.0, est=2.1790475894592496, details={'was_impossible': False}),\n",
       " Prediction(uid=200674, iid='0671001132', r_ui=0.0, est=1.756342242515403, details={'was_impossible': False}),\n",
       " Prediction(uid=86145, iid='0553580191', r_ui=8.0, est=2.351132651634819, details={'was_impossible': False}),\n",
       " Prediction(uid=235392, iid='0425145638', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=126588, iid='0874776945', r_ui=0.0, est=3.4746075885887313, details={'was_impossible': False}),\n",
       " Prediction(uid=244349, iid='0671695126', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=19842, iid='0446603392', r_ui=0.0, est=2.661405253176088, details={'was_impossible': False}),\n",
       " Prediction(uid=14768, iid='0671003755', r_ui=0.0, est=1.689053163272136, details={'was_impossible': False}),\n",
       " Prediction(uid=125039, iid='0316666343', r_ui=0.0, est=2.203101037826438, details={'was_impossible': False}),\n",
       " Prediction(uid=201677, iid='0375506039', r_ui=5.0, est=5.070680433500488, details={'was_impossible': False}),\n",
       " Prediction(uid=179978, iid='0345370805', r_ui=0.0, est=1.7330588528729456, details={'was_impossible': False}),\n",
       " Prediction(uid=265889, iid='0375707972', r_ui=8.0, est=3.2330782854085625, details={'was_impossible': False}),\n",
       " Prediction(uid=143253, iid='0671003755', r_ui=0.0, est=1.4072513842745153, details={'was_impossible': False}),\n",
       " Prediction(uid=113519, iid='0515131083', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=53628, iid='0345353145', r_ui=0.0, est=1.4514324792781093, details={'was_impossible': False}),\n",
       " Prediction(uid=254465, iid='0446531332', r_ui=10.0, est=3.2802788268427974, details={'was_impossible': False}),\n",
       " Prediction(uid=234623, iid='0451177096', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=224349, iid='0140293248', r_ui=0.0, est=1.6118436988791198, details={'was_impossible': False}),\n",
       " Prediction(uid=78783, iid='0446602213', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=187145, iid='0316780375', r_ui=0.0, est=1.7092371038700847, details={'was_impossible': False}),\n",
       " Prediction(uid=110973, iid='0345366239', r_ui=0.0, est=2.1620873634661946, details={'was_impossible': False}),\n",
       " Prediction(uid=13552, iid='0425115801', r_ui=10.0, est=2.7665095724050035, details={'was_impossible': False}),\n",
       " Prediction(uid=265115, iid='0449149986', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=112001, iid='0786868716', r_ui=10.0, est=5.109650394431259, details={'was_impossible': False}),\n",
       " Prediction(uid=114868, iid='0394281802', r_ui=0.0, est=1.4227323584885307, details={'was_impossible': False}),\n",
       " Prediction(uid=234623, iid='0439064872', r_ui=0.0, est=1.7332381653026667, details={'was_impossible': False}),\n",
       " Prediction(uid=6543, iid='0380978415', r_ui=8.0, est=3.888245442178027, details={'was_impossible': False}),\n",
       " Prediction(uid=236283, iid='0440110653', r_ui=0.0, est=1.5899595718402328, details={'was_impossible': False}),\n",
       " Prediction(uid=69697, iid='0553575538', r_ui=0.0, est=1.6056219317004885, details={'was_impossible': False}),\n",
       " Prediction(uid=141710, iid='0375705856', r_ui=0.0, est=1.6561554965205803, details={'was_impossible': False}),\n",
       " Prediction(uid=20971, iid='0671758896', r_ui=5.0, est=1.56270914086108, details={'was_impossible': False}),\n",
       " Prediction(uid=49109, iid='0553284789', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=269890, iid='0312278586', r_ui=8.0, est=3.2578860687966316, details={'was_impossible': False}),\n",
       " Prediction(uid=86145, iid='0446359750', r_ui=8.0, est=2.0213496249316165, details={'was_impossible': False}),\n",
       " Prediction(uid=248464, iid='0312288115', r_ui=1.0, est=1.7191068068988018, details={'was_impossible': False}),\n",
       " Prediction(uid=104636, iid='0446604801', r_ui=6.0, est=5.410373732881714, details={'was_impossible': False}),\n",
       " Prediction(uid=264543, iid='044022103X', r_ui=0.0, est=3.243199345396412, details={'was_impossible': False}),\n",
       " Prediction(uid=205980, iid='0671776975', r_ui=0.0, est=1.6470765892517536, details={'was_impossible': False}),\n",
       " Prediction(uid=153662, iid='0670878847', r_ui=0.0, est=1.2330947086712851, details={'was_impossible': False}),\n",
       " Prediction(uid=159033, iid='0553569570', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=30273, iid='0671034022', r_ui=0.0, est=1.1484662802594854, details={'was_impossible': False}),\n",
       " Prediction(uid=201783, iid='0070212570', r_ui=9.0, est=2.8639544845066425, details={'was_impossible': False}),\n",
       " Prediction(uid=235105, iid='0553096834', r_ui=0.0, est=1.3452603082097219, details={'was_impossible': False}),\n",
       " Prediction(uid=142524, iid='0385722435', r_ui=8.0, est=3.2230472375227794, details={'was_impossible': False}),\n",
       " Prediction(uid=265115, iid='0345427637', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=227520, iid='0743454146', r_ui=0.0, est=2.9183043418182715, details={'was_impossible': False}),\n",
       " Prediction(uid=204522, iid='0440224675', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=158606, iid='0345370775', r_ui=9.0, est=3.5266369144883356, details={'was_impossible': False}),\n",
       " Prediction(uid=174304, iid='0767913000', r_ui=0.0, est=1.4223437311167233, details={'was_impossible': False}),\n",
       " Prediction(uid=187145, iid='0679746048', r_ui=9.0, est=2.5979712964525152, details={'was_impossible': False}),\n",
       " Prediction(uid=87746, iid='0670892963', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=177458, iid='0446606812', r_ui=5.0, est=1.2170384315986378, details={'was_impossible': False}),\n",
       " Prediction(uid=13995, iid='0060964049', r_ui=0.0, est=2.6170162542597275, details={'was_impossible': False}),\n",
       " Prediction(uid=240035, iid='0553289411', r_ui=7.0, est=2.4814702582421515, details={'was_impossible': False}),\n",
       " Prediction(uid=163570, iid='0425105334', r_ui=10.0, est=5.626281566000122, details={'was_impossible': False}),\n",
       " Prediction(uid=108950, iid='0425162443', r_ui=0.0, est=2.0297901209454783, details={'was_impossible': False}),\n",
       " Prediction(uid=255092, iid='059035342X', r_ui=8.0, est=4.287233477738832, details={'was_impossible': False}),\n",
       " Prediction(uid=120093, iid='0451169522', r_ui=0.0, est=2.779276620515124, details={'was_impossible': False}),\n",
       " Prediction(uid=171970, iid='0452283205', r_ui=0.0, est=2.354713129735337, details={'was_impossible': False}),\n",
       " Prediction(uid=144531, iid='0425165701', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=263460, iid='0446527017', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=204522, iid='0451186362', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=176256, iid='0373244487', r_ui=0.0, est=1.7469288009071202, details={'was_impossible': False}),\n",
       " Prediction(uid=238781, iid='0312983271', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=64436, iid='0142001740', r_ui=0.0, est=2.995675049078267, details={'was_impossible': False}),\n",
       " Prediction(uid=127359, iid='0451208765', r_ui=0.0, est=1.217192920760414, details={'was_impossible': False}),\n",
       " Prediction(uid=63938, iid='0553279912', r_ui=0.0, est=1.301527698391173, details={'was_impossible': False}),\n",
       " Prediction(uid=129716, iid='0345409329', r_ui=0.0, est=1.220225464197212, details={'was_impossible': False}),\n",
       " Prediction(uid=135277, iid='0316789089', r_ui=0.0, est=2.757668126989573, details={'was_impossible': False}),\n",
       " Prediction(uid=115488, iid='1558745157', r_ui=0.0, est=2.5739614508490036, details={'was_impossible': False}),\n",
       " Prediction(uid=160558, iid='0451156609', r_ui=4.0, est=4.4992342283165785, details={'was_impossible': False}),\n",
       " Prediction(uid=217375, iid='157322930X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=23871, iid='0786861347', r_ui=5.0, est=3.23408232932424, details={'was_impossible': False}),\n",
       " Prediction(uid=81298, iid='0452282152', r_ui=0.0, est=3.2383210092470747, details={'was_impossible': False}),\n",
       " Prediction(uid=122793, iid='0312305060', r_ui=0.0, est=3.6192923382927873, details={'was_impossible': False}),\n",
       " Prediction(uid=110912, iid='0446525774', r_ui=0.0, est=1.4735189931625956, details={'was_impossible': False}),\n",
       " Prediction(uid=126492, iid='074343627X', r_ui=10.0, est=3.3112503111284117, details={'was_impossible': False}),\n",
       " Prediction(uid=104399, iid='0553802488', r_ui=0.0, est=6.022111940247017, details={'was_impossible': False}),\n",
       " Prediction(uid=204864, iid='0452269571', r_ui=10.0, est=3.0411859951401072, details={'was_impossible': False}),\n",
       " Prediction(uid=245963, iid='0399501487', r_ui=0.0, est=1.5685853544008914, details={'was_impossible': False}),\n",
       " Prediction(uid=60050, iid='0425118703', r_ui=8.0, est=1.9094562212510597, details={'was_impossible': False}),\n",
       " Prediction(uid=98741, iid='0316969443', r_ui=7.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=243930, iid='0971880107', r_ui=0.0, est=1.6458766606996542, details={'was_impossible': False}),\n",
       " Prediction(uid=44845, iid='0440203856', r_ui=0.0, est=2.0310549228882806, details={'was_impossible': False}),\n",
       " Prediction(uid=69355, iid='0449223604', r_ui=0.0, est=1.0604906582549125, details={'was_impossible': False}),\n",
       " Prediction(uid=121170, iid='0060987103', r_ui=9.0, est=4.7580029168766504, details={'was_impossible': False}),\n",
       " Prediction(uid=262459, iid='0345422384', r_ui=5.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=88793, iid='038572179X', r_ui=0.0, est=2.9282211329393766, details={'was_impossible': False}),\n",
       " Prediction(uid=178199, iid='0671004107', r_ui=9.0, est=4.512599132319386, details={'was_impossible': False}),\n",
       " Prediction(uid=138578, iid='0316693251', r_ui=9.0, est=5.110643346186072, details={'was_impossible': False}),\n",
       " Prediction(uid=203799, iid='0373484429', r_ui=0.0, est=1.7973202910462578, details={'was_impossible': False}),\n",
       " Prediction(uid=74691, iid='0151002290', r_ui=0.0, est=1.8889836893750733, details={'was_impossible': False}),\n",
       " Prediction(uid=78448, iid='0060173289', r_ui=8.0, est=4.708809092724996, details={'was_impossible': False}),\n",
       " Prediction(uid=151139, iid='038082101X', r_ui=0.0, est=2.4006770287365584, details={'was_impossible': False}),\n",
       " Prediction(uid=246655, iid='0449217264', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=23768, iid='0446609404', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=125692, iid='0671537458', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=243294, iid='0440404193', r_ui=8.0, est=5.6310020540905725, details={'was_impossible': False}),\n",
       " Prediction(uid=132851, iid='0380977788', r_ui=0.0, est=3.9178263654549537, details={'was_impossible': False}),\n",
       " Prediction(uid=191187, iid='0440224071', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=254465, iid='0767905202', r_ui=0.0, est=3.08343170173191, details={'was_impossible': False}),\n",
       " Prediction(uid=39616, iid='0345396936', r_ui=0.0, est=1.131967033976994, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='0670894605', r_ui=8.0, est=2.782982272630875, details={'was_impossible': False}),\n",
       " Prediction(uid=23902, iid='034543479X', r_ui=10.0, est=5.747930953956391, details={'was_impossible': False}),\n",
       " Prediction(uid=138097, iid='0446607711', r_ui=0.0, est=1.9059198830888417, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='0445406518', r_ui=0.0, est=1.7642874781054205, details={'was_impossible': False}),\n",
       " Prediction(uid=255489, iid='080410526X', r_ui=0.0, est=2.5745773488404953, details={'was_impossible': False}),\n",
       " Prediction(uid=29259, iid='0671003755', r_ui=0.0, est=2.1661658420667638, details={'was_impossible': False}),\n",
       " Prediction(uid=108352, iid='0142000663', r_ui=7.0, est=2.843168747772477, details={'was_impossible': False}),\n",
       " Prediction(uid=228311, iid='0060928336', r_ui=8.0, est=2.936911420993861, details={'was_impossible': False}),\n",
       " Prediction(uid=204864, iid='0743467523', r_ui=9.0, est=2.362738418078971, details={'was_impossible': False}),\n",
       " Prediction(uid=167189, iid='042511774X', r_ui=0.0, est=1.1333797947229372, details={'was_impossible': False}),\n",
       " Prediction(uid=130426, iid='0743467523', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=43246, iid='0375706410', r_ui=0.0, est=1.0333571480129078, details={'was_impossible': False}),\n",
       " Prediction(uid=192176, iid='0345435249', r_ui=0.0, est=2.967916011811693, details={'was_impossible': False}),\n",
       " Prediction(uid=133689, iid='0553250426', r_ui=0.0, est=3.5064761104976547, details={'was_impossible': False}),\n",
       " Prediction(uid=184299, iid='0743457358', r_ui=0.0, est=1.8218235076803864, details={'was_impossible': False}),\n",
       " Prediction(uid=110912, iid='0375414053', r_ui=10.0, est=2.0136201600111456, details={'was_impossible': False}),\n",
       " Prediction(uid=170513, iid='0345386108', r_ui=0.0, est=1.6916176521175044, details={'was_impossible': False}),\n",
       " Prediction(uid=82831, iid='0060977493', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=107784, iid='0671741195', r_ui=5.0, est=2.1183083755493115, details={'was_impossible': False}),\n",
       " Prediction(uid=68249, iid='0671023616', r_ui=0.0, est=3.268418983689826, details={'was_impossible': False}),\n",
       " Prediction(uid=98787, iid='034536676X', r_ui=8.0, est=2.914223281165458, details={'was_impossible': False}),\n",
       " Prediction(uid=120396, iid='0380723638', r_ui=7.0, est=6.414836712881688, details={'was_impossible': False}),\n",
       " Prediction(uid=114414, iid='0380730138', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=49109, iid='0451155750', r_ui=0.0, est=1.1107702896775873, details={'was_impossible': False}),\n",
       " Prediction(uid=181176, iid='0060929871', r_ui=0.0, est=2.660180381323061, details={'was_impossible': False}),\n",
       " Prediction(uid=224646, iid='0399143947', r_ui=8.0, est=3.7978017345332957, details={'was_impossible': False}),\n",
       " Prediction(uid=192093, iid='0679781587', r_ui=10.0, est=3.0017992662177573, details={'was_impossible': False}),\n",
       " Prediction(uid=201684, iid='0440498058', r_ui=0.0, est=4.631846135706204, details={'was_impossible': False}),\n",
       " Prediction(uid=240567, iid='0142001740', r_ui=10.0, est=6.908097134146457, details={'was_impossible': False}),\n",
       " Prediction(uid=81682, iid='0449221490', r_ui=7.0, est=1.7324462294696474, details={'was_impossible': False}),\n",
       " Prediction(uid=135831, iid='0451190556', r_ui=0.0, est=1.8508698605578495, details={'was_impossible': False}),\n",
       " Prediction(uid=165987, iid='0425192733', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=62542, iid='0061015725', r_ui=0.0, est=3.904058950474694, details={'was_impossible': False}),\n",
       " Prediction(uid=31556, iid='0060173289', r_ui=0.0, est=1.9283954608998357, details={'was_impossible': False}),\n",
       " Prediction(uid=123790, iid='0375707972', r_ui=0.0, est=1.0004161123319788, details={'was_impossible': False}),\n",
       " Prediction(uid=165308, iid='0060008032', r_ui=8.0, est=2.9916370903695615, details={'was_impossible': False}),\n",
       " Prediction(uid=101209, iid='0440173922', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=95509, iid='0425092917', r_ui=0.0, est=1.7809417486610253, details={'was_impossible': False}),\n",
       " Prediction(uid=70415, iid='0805036377', r_ui=0.0, est=2.4308929423299768, details={'was_impossible': False}),\n",
       " Prediction(uid=58911, iid='006109868X', r_ui=0.0, est=2.3903086137142338, details={'was_impossible': False}),\n",
       " Prediction(uid=69697, iid='0440225825', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=52584, iid='0671027662', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=200226, iid='0385721420', r_ui=0.0, est=1.528672143661019, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0609804138', r_ui=10.0, est=5.052467642766161, details={'was_impossible': False}),\n",
       " Prediction(uid=240144, iid='0060198133', r_ui=0.0, est=2.496635627727553, details={'was_impossible': False}),\n",
       " Prediction(uid=162052, iid='0425135721', r_ui=0.0, est=4.525689648095572, details={'was_impossible': False}),\n",
       " Prediction(uid=274111, iid='0140042393', r_ui=10.0, est=3.4087096409523787, details={'was_impossible': False}),\n",
       " Prediction(uid=39584, iid='0375726403', r_ui=0.0, est=1.655486625525878, details={'was_impossible': False}),\n",
       " Prediction(uid=43842, iid='0446679593', r_ui=0.0, est=2.385986109075761, details={'was_impossible': False}),\n",
       " Prediction(uid=126492, iid='0451180232', r_ui=0.0, est=4.6884443925706565, details={'was_impossible': False}),\n",
       " Prediction(uid=36836, iid='0374172897', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=48046, iid='0451124383', r_ui=0.0, est=1.5432632042601693, details={'was_impossible': False}),\n",
       " Prediction(uid=178920, iid='0679723110', r_ui=0.0, est=4.36090543101167, details={'was_impossible': False}),\n",
       " Prediction(uid=142454, iid='3404148665', r_ui=0.0, est=2.4605859418361806, details={'was_impossible': False}),\n",
       " Prediction(uid=228764, iid='0553574671', r_ui=0.0, est=1.7165888408513714, details={'was_impossible': False}),\n",
       " Prediction(uid=13552, iid='0425147622', r_ui=0.0, est=2.4626134059239755, details={'was_impossible': False}),\n",
       " Prediction(uid=152354, iid='0425136981', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=145451, iid='051513225X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=189334, iid='0811801802', r_ui=0.0, est=3.1675620887131446, details={'was_impossible': False}),\n",
       " Prediction(uid=230708, iid='0440940001', r_ui=0.0, est=1.9590546291501725, details={'was_impossible': False}),\n",
       " Prediction(uid=29259, iid='0380718340', r_ui=10.0, est=2.5774947336027427, details={'was_impossible': False}),\n",
       " Prediction(uid=31826, iid='0590353403', r_ui=0.0, est=10, details={'was_impossible': False}),\n",
       " Prediction(uid=47117, iid='0679781587', r_ui=0.0, est=2.7459285338600683, details={'was_impossible': False}),\n",
       " Prediction(uid=180032, iid='0515134384', r_ui=0.0, est=1.8278778407147813, details={'was_impossible': False}),\n",
       " Prediction(uid=204864, iid='0451176464', r_ui=5.0, est=3.1701161894715604, details={'was_impossible': False}),\n",
       " Prediction(uid=180651, iid='0060920084', r_ui=8.0, est=3.406519943572067, details={'was_impossible': False}),\n",
       " Prediction(uid=113270, iid='0156028778', r_ui=0.0, est=2.0254292755485053, details={'was_impossible': False}),\n",
       " Prediction(uid=162564, iid='0316779423', r_ui=0.0, est=2.9633241688732497, details={'was_impossible': False}),\n",
       " Prediction(uid=102642, iid='0312282990', r_ui=0.0, est=3.0474995516986803, details={'was_impossible': False}),\n",
       " Prediction(uid=30716, iid='0553584375', r_ui=0.0, est=1.9770678438997522, details={'was_impossible': False}),\n",
       " Prediction(uid=184299, iid='0425147363', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=254465, iid='0380804557', r_ui=0.0, est=2.6505523955849988, details={'was_impossible': False}),\n",
       " Prediction(uid=172512, iid='0553572326', r_ui=0.0, est=1.4782278155155937, details={'was_impossible': False}),\n",
       " Prediction(uid=235842, iid='0842329242', r_ui=0.0, est=2.425517208825405, details={'was_impossible': False}),\n",
       " Prediction(uid=270713, iid='0440217520', r_ui=0.0, est=3.6337997508844326, details={'was_impossible': False}),\n",
       " Prediction(uid=114414, iid='0425155943', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=81492, iid='0312971125', r_ui=0.0, est=1.191676491362026, details={'was_impossible': False}),\n",
       " Prediction(uid=60797, iid='0330332775', r_ui=6.0, est=1.9611217709418507, details={'was_impossible': False}),\n",
       " Prediction(uid=116931, iid='067976402X', r_ui=0.0, est=1.6789950300572896, details={'was_impossible': False}),\n",
       " Prediction(uid=129008, iid='0440224705', r_ui=0.0, est=1.2780889808876776, details={'was_impossible': False}),\n",
       " Prediction(uid=143253, iid='0440211727', r_ui=0.0, est=1.368641297864358, details={'was_impossible': False}),\n",
       " Prediction(uid=89207, iid='0446600660', r_ui=0.0, est=1.7127470607201527, details={'was_impossible': False}),\n",
       " Prediction(uid=236283, iid='0399147195', r_ui=10.0, est=1.9655041595180358, details={'was_impossible': False}),\n",
       " Prediction(uid=274301, iid='0345413881', r_ui=7.0, est=5.667474333848534, details={'was_impossible': False}),\n",
       " Prediction(uid=156150, iid='0679721886', r_ui=0.0, est=1.4631621026573558, details={'was_impossible': False}),\n",
       " Prediction(uid=30035, iid='0440241537', r_ui=0.0, est=1.495329647626094, details={'was_impossible': False}),\n",
       " Prediction(uid=123825, iid='0451124383', r_ui=0.0, est=3.200901195107567, details={'was_impossible': False}),\n",
       " Prediction(uid=168036, iid='0425171884', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=265115, iid='0345311396', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=112026, iid='038550926X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=230013, iid='0553569031', r_ui=8.0, est=3.2756231980850794, details={'was_impossible': False}),\n",
       " Prediction(uid=132083, iid='0671042858', r_ui=0.0, est=2.339521685438336, details={'was_impossible': False}),\n",
       " Prediction(uid=211919, iid='0425178102', r_ui=0.0, est=1.1893524589648443, details={'was_impossible': False}),\n",
       " Prediction(uid=247055, iid='0515135739', r_ui=7.0, est=1.5291886945195952, details={'was_impossible': False}),\n",
       " Prediction(uid=174596, iid='0679432477', r_ui=6.0, est=2.9932988182470677, details={'was_impossible': False}),\n",
       " Prediction(uid=271144, iid='1558745157', r_ui=0.0, est=3.769214136204543, details={'was_impossible': False}),\n",
       " Prediction(uid=15208, iid='0345389417', r_ui=0.0, est=2.210701699472758, details={'was_impossible': False}),\n",
       " Prediction(uid=44089, iid='0553274295', r_ui=0.0, est=3.100385284908538, details={'was_impossible': False}),\n",
       " Prediction(uid=242106, iid='0553581554', r_ui=0.0, est=2.00432310033246, details={'was_impossible': False}),\n",
       " Prediction(uid=65322, iid='0385720920', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=30711, iid='1400031362', r_ui=0.0, est=2.9332937351439146, details={'was_impossible': False}),\n",
       " Prediction(uid=187170, iid='0425176932', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=88733, iid='002542730X', r_ui=0.0, est=2.214703891606959, details={'was_impossible': False}),\n",
       " Prediction(uid=87746, iid='1400034779', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=78783, iid='0671027662', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=202462, iid='0446607657', r_ui=0.0, est=4.468266912173664, details={'was_impossible': False}),\n",
       " Prediction(uid=251613, iid='0385490992', r_ui=0.0, est=1.1393051507233265, details={'was_impossible': False}),\n",
       " Prediction(uid=258938, iid='076790592X', r_ui=0.0, est=2.8911372237112305, details={'was_impossible': False}),\n",
       " Prediction(uid=31315, iid='0671693816', r_ui=9.0, est=2.177949269962112, details={'was_impossible': False}),\n",
       " Prediction(uid=129465, iid='0345391055', r_ui=0.0, est=1.0265820600084403, details={'was_impossible': False}),\n",
       " Prediction(uid=238961, iid='0440439884', r_ui=0.0, est=3.670468567988142, details={'was_impossible': False}),\n",
       " Prediction(uid=252642, iid='0440220424', r_ui=0.0, est=1.5067720579858443, details={'was_impossible': False}),\n",
       " Prediction(uid=113270, iid='0553579606', r_ui=0.0, est=1.9058332375853833, details={'was_impossible': False}),\n",
       " Prediction(uid=267409, iid='155166674X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=70415, iid='1551668998', r_ui=0.0, est=1.7829561152540738, details={'was_impossible': False}),\n",
       " Prediction(uid=177458, iid='0441304834', r_ui=7.0, est=2.984042014476035, details={'was_impossible': False}),\n",
       " Prediction(uid=39646, iid='0375726403', r_ui=0.0, est=1.067300115698044, details={'was_impossible': False}),\n",
       " Prediction(uid=155014, iid='0061092614', r_ui=0.0, est=2.848062022945883, details={'was_impossible': False}),\n",
       " Prediction(uid=245295, iid='0345351525', r_ui=10.0, est=3.6032911978134594, details={'was_impossible': False}),\n",
       " Prediction(uid=176902, iid='0312983271', r_ui=0.0, est=1.8546688046594166, details={'was_impossible': False}),\n",
       " Prediction(uid=14521, iid='0449911519', r_ui=0.0, est=2.029313232623739, details={'was_impossible': False}),\n",
       " Prediction(uid=135831, iid='0425162443', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=181176, iid='0345404785', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=89551, iid='0425132951', r_ui=0.0, est=1.1474692875268864, details={'was_impossible': False}),\n",
       " Prediction(uid=179733, iid='0060502258', r_ui=0.0, est=1.5390948333284435, details={'was_impossible': False}),\n",
       " Prediction(uid=259004, iid='0385720114', r_ui=7.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=78973, iid='0743418174', r_ui=9.0, est=6.283088349604549, details={'was_impossible': False}),\n",
       " Prediction(uid=31652, iid='1401088945', r_ui=7.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=182442, iid='068484267X', r_ui=0.0, est=2.3578228958242726, details={'was_impossible': False}),\n",
       " Prediction(uid=224249, iid='0316666343', r_ui=0.0, est=3.976764679297877, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0515126489', r_ui=8.0, est=4.580211418118397, details={'was_impossible': False}),\n",
       " Prediction(uid=263325, iid='0452282829', r_ui=0.0, est=2.6945881215490646, details={'was_impossible': False}),\n",
       " Prediction(uid=170513, iid='0446525731', r_ui=0.0, est=2.695286280924798, details={'was_impossible': False}),\n",
       " Prediction(uid=238541, iid='0452269571', r_ui=0.0, est=2.2008585755751016, details={'was_impossible': False}),\n",
       " Prediction(uid=265115, iid='0440209803', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=67840, iid='0440237262', r_ui=6.0, est=2.5890510487298624, details={'was_impossible': False}),\n",
       " Prediction(uid=203240, iid='0142001740', r_ui=5.0, est=3.8342832415564416, details={'was_impossible': False}),\n",
       " Prediction(uid=38023, iid='0345313860', r_ui=0.0, est=2.4698688939427136, details={'was_impossible': False}),\n",
       " Prediction(uid=65208, iid='1592400876', r_ui=0.0, est=3.731431803906723, details={'was_impossible': False}),\n",
       " Prediction(uid=71207, iid='1558744150', r_ui=8.0, est=2.6845558497077726, details={'was_impossible': False}),\n",
       " Prediction(uid=137190, iid='0552998486', r_ui=5.0, est=3.4478772277437395, details={'was_impossible': False}),\n",
       " Prediction(uid=155014, iid='0345380371', r_ui=0.0, est=1.9412685779579812, details={'was_impossible': False}),\n",
       " Prediction(uid=43246, iid='0345361792', r_ui=0.0, est=1.8848260261641994, details={'was_impossible': False}),\n",
       " Prediction(uid=24194, iid='0740704818', r_ui=0.0, est=2.865436515080329, details={'was_impossible': False}),\n",
       " Prediction(uid=92853, iid='0449003787', r_ui=0.0, est=1.6398195810894811, details={'was_impossible': False}),\n",
       " Prediction(uid=124597, iid='080411109X', r_ui=6.0, est=2.1931826789055258, details={'was_impossible': False}),\n",
       " Prediction(uid=227447, iid='044023669X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=244277, iid='0679426159', r_ui=0.0, est=2.915791398366843, details={'was_impossible': False}),\n",
       " Prediction(uid=218568, iid='0316776963', r_ui=9.0, est=4.489222163910936, details={'was_impossible': False}),\n",
       " Prediction(uid=195247, iid='0060932139', r_ui=0.0, est=1.2512892884764386, details={'was_impossible': False}),\n",
       " Prediction(uid=88122, iid='1558743669', r_ui=0.0, est=4.362754661688206, details={'was_impossible': False}),\n",
       " Prediction(uid=96357, iid='0842329129', r_ui=9.0, est=7.777856915884774, details={'was_impossible': False}),\n",
       " Prediction(uid=141493, iid='0060987103', r_ui=0.0, est=2.876611910620915, details={'was_impossible': False}),\n",
       " Prediction(uid=161870, iid='0440234743', r_ui=5.0, est=2.2615350117696305, details={'was_impossible': False}),\n",
       " Prediction(uid=225595, iid='0553562614', r_ui=10.0, est=6.165451519334686, details={'was_impossible': False}),\n",
       " Prediction(uid=66942, iid='0842329218', r_ui=7.0, est=4.763696566015076, details={'was_impossible': False}),\n",
       " Prediction(uid=59912, iid='0345423135', r_ui=0.0, est=3.1423714298048786, details={'was_impossible': False}),\n",
       " Prediction(uid=238120, iid='0553275976', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=235392, iid='038000321X', r_ui=0.0, est=1.9218320887863354, details={'was_impossible': False}),\n",
       " Prediction(uid=232131, iid='014029628X', r_ui=0.0, est=1.7875039141656557, details={'was_impossible': False}),\n",
       " Prediction(uid=218068, iid='0446359750', r_ui=0.0, est=1.0585901702190492, details={'was_impossible': False}),\n",
       " Prediction(uid=238557, iid='0446365505', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=91931, iid='0312305060', r_ui=0.0, est=1.178848931473587, details={'was_impossible': False}),\n",
       " Prediction(uid=38023, iid='067103619X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=74758, iid='0446605239', r_ui=10.0, est=2.3749810508336244, details={'was_impossible': False}),\n",
       " Prediction(uid=245410, iid='0971880107', r_ui=0.0, est=2.73968588038385, details={'was_impossible': False}),\n",
       " Prediction(uid=60244, iid='0312305060', r_ui=0.0, est=2.572071417061272, details={'was_impossible': False}),\n",
       " Prediction(uid=238120, iid='0312283709', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=256407, iid='0671867156', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=204864, iid='0553560735', r_ui=0.0, est=2.4851605066955282, details={'was_impossible': False}),\n",
       " Prediction(uid=255078, iid='0345391802', r_ui=9.0, est=3.1719396682945407, details={'was_impossible': False}),\n",
       " Prediction(uid=188010, iid='031242227X', r_ui=0.0, est=2.1572093458531953, details={'was_impossible': False}),\n",
       " Prediction(uid=246507, iid='0743406176', r_ui=0.0, est=2.6970877628591303, details={'was_impossible': False}),\n",
       " Prediction(uid=31315, iid='0671014196', r_ui=0.0, est=1.5484868775368916, details={'was_impossible': False}),\n",
       " Prediction(uid=143175, iid='0804115761', r_ui=0.0, est=1.4085940499417258, details={'was_impossible': False}),\n",
       " Prediction(uid=269890, iid='0345386132', r_ui=0.0, est=2.750599384126807, details={'was_impossible': False}),\n",
       " Prediction(uid=144531, iid='0451408888', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=65584, iid='0553580191', r_ui=9.0, est=6.462448911894737, details={'was_impossible': False}),\n",
       " Prediction(uid=158344, iid='0553375407', r_ui=9.0, est=3.156167848110647, details={'was_impossible': False}),\n",
       " Prediction(uid=7125, iid='0156027321', r_ui=0.0, est=4.063624972824394, details={'was_impossible': False}),\n",
       " Prediction(uid=55607, iid='0345427637', r_ui=0.0, est=1.506934436068378, details={'was_impossible': False}),\n",
       " Prediction(uid=259035, iid='0515136530', r_ui=10.0, est=3.3237368157401566, details={'was_impossible': False}),\n",
       " Prediction(uid=251844, iid='0451210743', r_ui=6.0, est=4.4377885906835814, details={'was_impossible': False}),\n",
       " Prediction(uid=219254, iid='0671867113', r_ui=0.0, est=2.006791656929159, details={'was_impossible': False}),\n",
       " Prediction(uid=113519, iid='0316601950', r_ui=0.0, est=1.4721030316766235, details={'was_impossible': False}),\n",
       " Prediction(uid=20115, iid='0743206045', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=60263, iid='0671027387', r_ui=0.0, est=3.9296346846446353, details={'was_impossible': False}),\n",
       " Prediction(uid=6073, iid='0553213105', r_ui=8.0, est=5.4919614967487, details={'was_impossible': False}),\n",
       " Prediction(uid=184299, iid='074343627X', r_ui=6.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=208141, iid='1559029838', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=269566, iid='0440200563', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=82893, iid='0425116840', r_ui=0.0, est=1.0560263410159674, details={'was_impossible': False}),\n",
       " Prediction(uid=115003, iid='0060977493', r_ui=7.0, est=3.6911375764285332, details={'was_impossible': False}),\n",
       " Prediction(uid=85757, iid='0375502025', r_ui=0.0, est=2.885798340807654, details={'was_impossible': False}),\n",
       " Prediction(uid=133747, iid='0385420161', r_ui=0.0, est=2.5545595689714955, details={'was_impossible': False}),\n",
       " Prediction(uid=163326, iid='0440226430', r_ui=9.0, est=2.903083665730808, details={'was_impossible': False}),\n",
       " Prediction(uid=171118, iid='089480829X', r_ui=0.0, est=3.3207172310133184, details={'was_impossible': False}),\n",
       " Prediction(uid=9856, iid='0140042598', r_ui=3.0, est=1.3848441290533748, details={'was_impossible': False}),\n",
       " Prediction(uid=187747, iid='0060928336', r_ui=9.0, est=2.5907978244196697, details={'was_impossible': False}),\n",
       " Prediction(uid=21011, iid='0345445848', r_ui=5.0, est=5.180248386164577, details={'was_impossible': False}),\n",
       " Prediction(uid=243, iid='0440225701', r_ui=0.0, est=1.7199170398690322, details={'was_impossible': False}),\n",
       " Prediction(uid=10030, iid='0515120278', r_ui=0.0, est=2.313510636089351, details={'was_impossible': False}),\n",
       " Prediction(uid=89602, iid='0385492081', r_ui=0.0, est=3.9481919797614706, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0446603716', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=179733, iid='157322930X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=205735, iid='0345339738', r_ui=0.0, est=1.760066198121414, details={'was_impossible': False}),\n",
       " Prediction(uid=102967, iid='0440220602', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=250510, iid='038572179X', r_ui=0.0, est=1.3980695418435136, details={'was_impossible': False}),\n",
       " Prediction(uid=69697, iid='055356451X', r_ui=0.0, est=1.2219038689551094, details={'was_impossible': False}),\n",
       " Prediction(uid=243876, iid='0425176932', r_ui=0.0, est=1.1917259436251342, details={'was_impossible': False}),\n",
       " Prediction(uid=133747, iid='0140143505', r_ui=9.0, est=4.514008160129631, details={'was_impossible': False}),\n",
       " Prediction(uid=201058, iid='0380718340', r_ui=0.0, est=4.265888254984692, details={'was_impossible': False}),\n",
       " Prediction(uid=95359, iid='1565122968', r_ui=7.0, est=4.251129650208328, details={'was_impossible': False}),\n",
       " Prediction(uid=206567, iid='0345350499', r_ui=0.0, est=1.7370856678459377, details={'was_impossible': False}),\n",
       " Prediction(uid=54884, iid='0743211375', r_ui=7.0, est=4.500110600246862, details={'was_impossible': False}),\n",
       " Prediction(uid=212898, iid='0446350109', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=61427, iid='0425184943', r_ui=0.0, est=3.117997729637651, details={'was_impossible': False}),\n",
       " Prediction(uid=272715, iid='0440193613', r_ui=0.0, est=1.5925156907674265, details={'was_impossible': False}),\n",
       " Prediction(uid=208829, iid='0140067779', r_ui=6.0, est=3.4610243116571295, details={'was_impossible': False}),\n",
       " Prediction(uid=169699, iid='0345404114', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=69697, iid='0385335482', r_ui=0.0, est=1.8663624442627902, details={'was_impossible': False}),\n",
       " Prediction(uid=53174, iid='0312291639', r_ui=0.0, est=1.9755428164672364, details={'was_impossible': False}),\n",
       " Prediction(uid=236757, iid='0767905180', r_ui=0.0, est=2.255077643751233, details={'was_impossible': False}),\n",
       " Prediction(uid=189334, iid='0971880107', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=185233, iid='0373483899', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=198711, iid='0446802204', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=267033, iid='0440224810', r_ui=0.0, est=1.7934484305169307, details={'was_impossible': False}),\n",
       " Prediction(uid=237990, iid='0515130389', r_ui=9.0, est=5.289145649849533, details={'was_impossible': False}),\n",
       " Prediction(uid=59390, iid='0440222656', r_ui=0.0, est=1.2385831941326164, details={'was_impossible': False}),\n",
       " Prediction(uid=125779, iid='0515136379', r_ui=0.0, est=2.8608021653187645, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0553348973', r_ui=10.0, est=4.517908888944463, details={'was_impossible': False}),\n",
       " Prediction(uid=78553, iid='0312983824', r_ui=0.0, est=3.026473123825872, details={'was_impossible': False}),\n",
       " Prediction(uid=67547, iid='0345436911', r_ui=4.0, est=3.2785528017614585, details={'was_impossible': False}),\n",
       " Prediction(uid=171118, iid='0671028383', r_ui=0.0, est=2.0037578607271906, details={'was_impossible': False}),\n",
       " Prediction(uid=148712, iid='0060085444', r_ui=8.0, est=2.3375969960770107, details={'was_impossible': False}),\n",
       " Prediction(uid=225986, iid='1853260010', r_ui=0.0, est=2.910450276610895, details={'was_impossible': False}),\n",
       " Prediction(uid=24921, iid='0671793535', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=27647, iid='0140620222', r_ui=10.0, est=4.025718002417559, details={'was_impossible': False}),\n",
       " Prediction(uid=50073, iid='0451205421', r_ui=9.0, est=3.6820569619501997, details={'was_impossible': False}),\n",
       " Prediction(uid=142524, iid='0140179836', r_ui=0.0, est=1.8690736205749294, details={'was_impossible': False}),\n",
       " Prediction(uid=45557, iid='0671727583', r_ui=0.0, est=2.9580403523163747, details={'was_impossible': False}),\n",
       " Prediction(uid=236283, iid='0451184726', r_ui=0.0, est=1.6536465803235805, details={'was_impossible': False}),\n",
       " Prediction(uid=255218, iid='0425119653', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=136139, iid='0375702709', r_ui=7.0, est=3.7635860838139616, details={'was_impossible': False}),\n",
       " Prediction(uid=138198, iid='0804106304', r_ui=7.0, est=1.8594902115010565, details={'was_impossible': False}),\n",
       " Prediction(uid=226965, iid='0345350499', r_ui=10.0, est=5.935885958623802, details={'was_impossible': False}),\n",
       " Prediction(uid=119725, iid='0446600660', r_ui=8.0, est=3.1932974890443715, details={'was_impossible': False}),\n",
       " Prediction(uid=120908, iid='0452282152', r_ui=8.0, est=3.688129954385873, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='0385730586', r_ui=0.0, est=2.4439186017743224, details={'was_impossible': False}),\n",
       " Prediction(uid=222050, iid='0449213943', r_ui=0.0, est=1.5508132515231912, details={'was_impossible': False}),\n",
       " Prediction(uid=113519, iid='1576737330', r_ui=0.0, est=1.9254369116028038, details={'was_impossible': False}),\n",
       " Prediction(uid=251422, iid='0446672211', r_ui=0.0, est=2.279283514499951, details={'was_impossible': False}),\n",
       " Prediction(uid=230030, iid='0140374248', r_ui=0.0, est=2.97759484708313, details={'was_impossible': False}),\n",
       " Prediction(uid=147224, iid='0525945938', r_ui=0.0, est=1.73200962881993, details={'was_impossible': False}),\n",
       " Prediction(uid=239535, iid='0440212561', r_ui=10.0, est=3.3003670050719696, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='0064400557', r_ui=0.0, est=3.5268219851914306, details={'was_impossible': False}),\n",
       " Prediction(uid=112026, iid='0553280368', r_ui=0.0, est=1.0272181619967384, details={'was_impossible': False}),\n",
       " Prediction(uid=166596, iid='0804113475', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=131837, iid='0553211404', r_ui=0.0, est=2.516700688015038, details={'was_impossible': False}),\n",
       " Prediction(uid=177090, iid='0671689746', r_ui=7.0, est=2.703416773119773, details={'was_impossible': False}),\n",
       " Prediction(uid=257204, iid='0345384466', r_ui=0.0, est=2.1037455912112586, details={'was_impossible': False}),\n",
       " Prediction(uid=266226, iid='0894808249', r_ui=0.0, est=3.331181268198084, details={'was_impossible': False}),\n",
       " Prediction(uid=217375, iid='0440224764', r_ui=8.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=245827, iid='0140067477', r_ui=0.0, est=1.8429087594770241, details={'was_impossible': False}),\n",
       " Prediction(uid=13082, iid='0345361792', r_ui=0.0, est=2.595046570432027, details={'was_impossible': False}),\n",
       " Prediction(uid=116931, iid='0440998050', r_ui=0.0, est=3.3936963858600833, details={'was_impossible': False}),\n",
       " Prediction(uid=130426, iid='0060512822', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=224997, iid='0553564528', r_ui=0.0, est=3.4563343556860397, details={'was_impossible': False}),\n",
       " Prediction(uid=236340, iid='0380718332', r_ui=0.0, est=3.2445994752195024, details={'was_impossible': False}),\n",
       " Prediction(uid=130474, iid='0345354621', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=142524, iid='0679454489', r_ui=8.0, est=1.926411573938893, details={'was_impossible': False}),\n",
       " Prediction(uid=235105, iid='0425150143', r_ui=0.0, est=1.204691253672019, details={'was_impossible': False}),\n",
       " Prediction(uid=177458, iid='0399150897', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=48025, iid='0440236703', r_ui=9.0, est=5.571160576094045, details={'was_impossible': False}),\n",
       " Prediction(uid=254899, iid='0345354613', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=151098, iid='0515120871', r_ui=0.0, est=1.2221765334542933, details={'was_impossible': False}),\n",
       " Prediction(uid=222296, iid='0451153553', r_ui=0.0, est=2.746976112579024, details={'was_impossible': False}),\n",
       " Prediction(uid=130157, iid='0671020293', r_ui=0.0, est=2.0089454767772987, details={'was_impossible': False}),\n",
       " Prediction(uid=275020, iid='0684863472', r_ui=0.0, est=1.5286720965710552, details={'was_impossible': False}),\n",
       " Prediction(uid=266226, iid='0425165566', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=177073, iid='043935806X', r_ui=0.0, est=4.49704213414655, details={'was_impossible': False}),\n",
       " Prediction(uid=139586, iid='0060809833', r_ui=0.0, est=2.9198140540686444, details={'was_impossible': False}),\n",
       " Prediction(uid=213350, iid='0312201656', r_ui=0.0, est=1.0763418125784399, details={'was_impossible': False}),\n",
       " Prediction(uid=166596, iid='0671011367', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=236283, iid='0446608955', r_ui=10.0, est=2.098910723424764, details={'was_impossible': False}),\n",
       " Prediction(uid=188273, iid='0375502238', r_ui=0.0, est=4.2851305407009, details={'was_impossible': False}),\n",
       " Prediction(uid=3363, iid='0671027344', r_ui=9.0, est=1.623844107722973, details={'was_impossible': False}),\n",
       " Prediction(uid=95359, iid='0345300203', r_ui=0.0, est=3.1526744845304737, details={'was_impossible': False}),\n",
       " Prediction(uid=256407, iid='0440213525', r_ui=0.0, est=1.348937779939571, details={'was_impossible': False}),\n",
       " Prediction(uid=154730, iid='0743460529', r_ui=6.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=6251, iid='1573229571', r_ui=0.0, est=2.1164636855949825, details={'was_impossible': False}),\n",
       " Prediction(uid=205487, iid='0345384369', r_ui=0.0, est=1.5789384336121557, details={'was_impossible': False}),\n",
       " Prediction(uid=159858, iid='0671553046', r_ui=0.0, est=1.483318853317722, details={'was_impossible': False}),\n",
       " Prediction(uid=215677, iid='0413537900', r_ui=0.0, est=3.137282214824306, details={'was_impossible': False}),\n",
       " Prediction(uid=60569, iid='0385421982', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=270605, iid='0140244824', r_ui=1.0, est=3.051140026439416, details={'was_impossible': False}),\n",
       " Prediction(uid=257204, iid='0446601241', r_ui=0.0, est=1.9116037399888544, details={'was_impossible': False}),\n",
       " Prediction(uid=23872, iid='051511054X', r_ui=5.0, est=5.795585744927012, details={'was_impossible': False}),\n",
       " Prediction(uid=140000, iid='0142001430', r_ui=10.0, est=3.3120519156073174, details={'was_impossible': False}),\n",
       " Prediction(uid=62966, iid='0812967240', r_ui=0.0, est=4.881495896212826, details={'was_impossible': False}),\n",
       " Prediction(uid=167800, iid='0671004107', r_ui=5.0, est=1.5036238759406255, details={'was_impossible': False}),\n",
       " Prediction(uid=139359, iid='0060934417', r_ui=0.0, est=4.893757327476519, details={'was_impossible': False}),\n",
       " Prediction(uid=266283, iid='0553572997', r_ui=0.0, est=3.3895115204608572, details={'was_impossible': False}),\n",
       " Prediction(uid=110483, iid='0671004573', r_ui=0.0, est=1.3804009297990567, details={'was_impossible': False}),\n",
       " Prediction(uid=246470, iid='1551668912', r_ui=0.0, est=2.043157519813991, details={'was_impossible': False}),\n",
       " Prediction(uid=196077, iid='0064472272', r_ui=8.0, est=1.9338736743407001, details={'was_impossible': False}),\n",
       " Prediction(uid=211460, iid='3492045170', r_ui=0.0, est=1.4008342345083813, details={'was_impossible': False}),\n",
       " Prediction(uid=28634, iid='0345391055', r_ui=7.0, est=6.404172069876477, details={'was_impossible': False}),\n",
       " Prediction(uid=236283, iid='0515093203', r_ui=0.0, est=1.9244927715208275, details={'was_impossible': False}),\n",
       " Prediction(uid=190265, iid='0062502182', r_ui=0.0, est=4.104859390139482, details={'was_impossible': False}),\n",
       " Prediction(uid=120090, iid='0425130711', r_ui=0.0, est=1.0346294459620595, details={'was_impossible': False}),\n",
       " Prediction(uid=266226, iid='055356773X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=201677, iid='0060199652', r_ui=0.0, est=4.533439221793353, details={'was_impossible': False}),\n",
       " Prediction(uid=274308, iid='0452268060', r_ui=8.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=253771, iid='0380789035', r_ui=0.0, est=3.600403439590855, details={'was_impossible': False}),\n",
       " Prediction(uid=11601, iid='0671683993', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=114988, iid='0380727501', r_ui=0.0, est=3.1974714780059035, details={'was_impossible': False}),\n",
       " Prediction(uid=198699, iid='0446608262', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=11601, iid='0679429220', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=52584, iid='0515137111', r_ui=0.0, est=1.1998651096168294, details={'was_impossible': False}),\n",
       " Prediction(uid=93085, iid='0553268880', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=224349, iid='0380002930', r_ui=0.0, est=2.339745916831368, details={'was_impossible': False}),\n",
       " Prediction(uid=212923, iid='0425182908', r_ui=0.0, est=1.0840404742529601, details={'was_impossible': False}),\n",
       " Prediction(uid=175536, iid='0312278586', r_ui=0.0, est=2.0380311470924557, details={'was_impossible': False}),\n",
       " Prediction(uid=273113, iid='0515124893', r_ui=5.0, est=3.5918678442788776, details={'was_impossible': False}),\n",
       " Prediction(uid=68555, iid='044011585X', r_ui=0.0, est=1.3138850904080903, details={'was_impossible': False}),\n",
       " Prediction(uid=187520, iid='0552124753', r_ui=7.0, est=2.5109396949506944, details={'was_impossible': False}),\n",
       " Prediction(uid=114414, iid='0553568701', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=34523, iid='034543479X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=165319, iid='0440998050', r_ui=6.0, est=3.7010661177642032, details={'was_impossible': False}),\n",
       " Prediction(uid=38023, iid='0064472272', r_ui=0.0, est=2.3518771855574565, details={'was_impossible': False}),\n",
       " Prediction(uid=81368, iid='0553582143', r_ui=0.0, est=1.8122155392898656, details={'was_impossible': False}),\n",
       " Prediction(uid=263877, iid='0671868691', r_ui=0.0, est=1.8740850899618455, details={'was_impossible': False}),\n",
       " Prediction(uid=210485, iid='140003180X', r_ui=10.0, est=3.4913957877978534, details={'was_impossible': False}),\n",
       " Prediction(uid=240906, iid='0345387554', r_ui=0.0, est=2.788743994638021, details={'was_impossible': False}),\n",
       " Prediction(uid=223201, iid='0446612790', r_ui=0.0, est=2.436081276022452, details={'was_impossible': False}),\n",
       " Prediction(uid=130474, iid='0425155943', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=258152, iid='0345316509', r_ui=0.0, est=3.401558252443033, details={'was_impossible': False}),\n",
       " Prediction(uid=238120, iid='0375713751', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=126492, iid='0670868361', r_ui=10.0, est=5.836529576736186, details={'was_impossible': False}),\n",
       " Prediction(uid=128696, iid='0140067477', r_ui=0.0, est=2.395876170559063, details={'was_impossible': False}),\n",
       " Prediction(uid=278188, iid='0440122090', r_ui=4.0, est=2.346400021142833, details={'was_impossible': False}),\n",
       " Prediction(uid=238781, iid='0380756293', r_ui=0.0, est=1.0788856387858274, details={'was_impossible': False}),\n",
       " Prediction(uid=213316, iid='1931561648', r_ui=0.0, est=4.073607970831347, details={'was_impossible': False}),\n",
       " Prediction(uid=162639, iid='0385720955', r_ui=0.0, est=1.8848581504991726, details={'was_impossible': False}),\n",
       " Prediction(uid=251140, iid='0452279178', r_ui=8.0, est=5.2134097238050785, details={'was_impossible': False}),\n",
       " Prediction(uid=117111, iid='0446605239', r_ui=9.0, est=2.0354235638177065, details={'was_impossible': False}),\n",
       " Prediction(uid=181077, iid='0743486226', r_ui=0.0, est=3.680270106321437, details={'was_impossible': False}),\n",
       " Prediction(uid=235392, iid='0061020710', r_ui=0.0, est=2.1695792880282956, details={'was_impossible': False}),\n",
       " Prediction(uid=276680, iid='0679781587', r_ui=9.0, est=5.171031173419676, details={'was_impossible': False}),\n",
       " Prediction(uid=168216, iid='0446354732', r_ui=7.0, est=2.3482792251786933, details={'was_impossible': False}),\n",
       " Prediction(uid=148744, iid='051511264X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=153662, iid='0446611808', r_ui=0.0, est=1.8989385709155548, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0345348109', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=80555, iid='0553572997', r_ui=6.0, est=1.856047319912767, details={'was_impossible': False}),\n",
       " Prediction(uid=71234, iid='0375502238', r_ui=10.0, est=2.997320944234051, details={'was_impossible': False}),\n",
       " Prediction(uid=75819, iid='0440206154', r_ui=9.0, est=5.4766607001837055, details={'was_impossible': False}),\n",
       " Prediction(uid=55490, iid='0345337662', r_ui=7.0, est=7.598997092369867, details={'was_impossible': False}),\n",
       " Prediction(uid=177090, iid='0446519081', r_ui=0.0, est=2.1251781357906157, details={'was_impossible': False}),\n",
       " Prediction(uid=212923, iid='0743431030', r_ui=0.0, est=1.249127027057504, details={'was_impossible': False}),\n",
       " Prediction(uid=231827, iid='0425178102', r_ui=0.0, est=1.9401829081256778, details={'was_impossible': False}),\n",
       " Prediction(uid=211426, iid='0449221180', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=105937, iid='0316693235', r_ui=8.0, est=2.747497736435372, details={'was_impossible': False}),\n",
       " Prediction(uid=43246, iid='0671034022', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=136382, iid='0425157539', r_ui=0.0, est=1.4372825907670048, details={'was_impossible': False}),\n",
       " Prediction(uid=187145, iid='0671038184', r_ui=0.0, est=1.9163266230481337, details={'was_impossible': False}),\n",
       " Prediction(uid=68555, iid='0385504209', r_ui=10.0, est=3.052673988343991, details={'was_impossible': False}),\n",
       " Prediction(uid=227447, iid='0316693251', r_ui=0.0, est=1.1267545427491141, details={'was_impossible': False}),\n",
       " Prediction(uid=266056, iid='0385492081', r_ui=9.0, est=2.9235735959645766, details={'was_impossible': False}),\n",
       " Prediction(uid=234359, iid='051513628X', r_ui=6.0, est=2.2675320506691206, details={'was_impossible': False}),\n",
       " Prediction(uid=261829, iid='0452266564', r_ui=0.0, est=3.7449316051938295, details={'was_impossible': False}),\n",
       " Prediction(uid=261829, iid='0316603287', r_ui=9.0, est=3.229367677281051, details={'was_impossible': False}),\n",
       " Prediction(uid=155147, iid='014028009X', r_ui=0.0, est=2.4151641231685352, details={'was_impossible': False}),\n",
       " Prediction(uid=192710, iid='0452282829', r_ui=0.0, est=2.289945925567599, details={'was_impossible': False}),\n",
       " Prediction(uid=30770, iid='0552124753', r_ui=0.0, est=3.645341652900354, details={'was_impossible': False}),\n",
       " Prediction(uid=254465, iid='051513628X', r_ui=0.0, est=2.947206171182466, details={'was_impossible': False}),\n",
       " Prediction(uid=228998, iid='0425183971', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=148744, iid='0345300203', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=69078, iid='031205436X', r_ui=7.0, est=4.943143250489131, details={'was_impossible': False}),\n",
       " Prediction(uid=232131, iid='0440208459', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=112881, iid='0553574671', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=172742, iid='0842342702', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=218568, iid='0449221504', r_ui=0.0, est=3.972907627661687, details={'was_impossible': False}),\n",
       " Prediction(uid=6092, iid='0552143774', r_ui=0.0, est=2.7106474516513477, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='0553278029', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=251844, iid='0060936363', r_ui=7.0, est=4.333325503456676, details={'was_impossible': False}),\n",
       " Prediction(uid=68156, iid='0553272535', r_ui=0.0, est=3.894969958160992, details={'was_impossible': False}),\n",
       " Prediction(uid=110373, iid='0345391055', r_ui=0.0, est=2.6388394398503743, details={'was_impossible': False}),\n",
       " Prediction(uid=37950, iid='0440215625', r_ui=10.0, est=4.6475726399784545, details={'was_impossible': False}),\n",
       " Prediction(uid=208829, iid='0553250426', r_ui=10.0, est=3.3087464748729616, details={'was_impossible': False}),\n",
       " Prediction(uid=6575, iid='034536676X', r_ui=7.0, est=3.5239884448725673, details={'was_impossible': False}),\n",
       " Prediction(uid=244994, iid='0451176464', r_ui=0.0, est=1.4784964248778314, details={'was_impossible': False}),\n",
       " Prediction(uid=69042, iid='0553264079', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0316603287', r_ui=8.0, est=5.39538340209495, details={'was_impossible': False}),\n",
       " Prediction(uid=159033, iid='0451197747', r_ui=0.0, est=1.6901295993254386, details={'was_impossible': False}),\n",
       " Prediction(uid=220240, iid='0786884592', r_ui=0.0, est=2.9337791258056867, details={'was_impossible': False}),\n",
       " Prediction(uid=145619, iid='0316666343', r_ui=0.0, est=1.9580661008695903, details={'was_impossible': False}),\n",
       " Prediction(uid=246776, iid='0312979479', r_ui=10.0, est=2.284610106128196, details={'was_impossible': False}),\n",
       " Prediction(uid=73394, iid='0553571885', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=178130, iid='0553279912', r_ui=0.0, est=2.2956029446248007, details={'was_impossible': False}),\n",
       " Prediction(uid=38229, iid='0312195516', r_ui=0.0, est=2.61489320388249, details={'was_impossible': False}),\n",
       " Prediction(uid=252642, iid='0060987103', r_ui=8.0, est=2.5548155153576766, details={'was_impossible': False}),\n",
       " Prediction(uid=56447, iid='0553279378', r_ui=0.0, est=1.7165407922500102, details={'was_impossible': False}),\n",
       " Prediction(uid=7346, iid='0553278223', r_ui=0.0, est=3.1510186759836203, details={'was_impossible': False}),\n",
       " Prediction(uid=124487, iid='0553582658', r_ui=0.0, est=1.1134115825228506, details={'was_impossible': False}),\n",
       " Prediction(uid=186570, iid='0425107469', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=55492, iid='0671024094', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=200674, iid='0440220602', r_ui=0.0, est=1.0543246559427204, details={'was_impossible': False}),\n",
       " Prediction(uid=262399, iid='0553571818', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=109491, iid='0515131229', r_ui=9.0, est=4.283041009585293, details={'was_impossible': False}),\n",
       " Prediction(uid=105214, iid='0515134279', r_ui=9.0, est=4.60977965985228, details={'was_impossible': False}),\n",
       " Prediction(uid=263163, iid='0345387651', r_ui=0.0, est=1.500813646897058, details={'was_impossible': False}),\n",
       " Prediction(uid=158127, iid='0345301110', r_ui=0.0, est=2.5326951583892363, details={'was_impossible': False}),\n",
       " Prediction(uid=218608, iid='068484267X', r_ui=0.0, est=4.042915402139531, details={'was_impossible': False}),\n",
       " Prediction(uid=238120, iid='0060391626', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=43619, iid='0380002930', r_ui=0.0, est=2.628750127262221, details={'was_impossible': False}),\n",
       " Prediction(uid=104636, iid='055321313X', r_ui=10.0, est=6.197631640941953, details={'was_impossible': False}),\n",
       " Prediction(uid=171078, iid='0451169530', r_ui=0.0, est=2.709483455225668, details={'was_impossible': False}),\n",
       " Prediction(uid=274301, iid='0440117437', r_ui=0.0, est=5.379970385526928, details={'was_impossible': False}),\n",
       " Prediction(uid=159376, iid='0446360856', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=261037, iid='0749395990', r_ui=0.0, est=3.4970019321966266, details={'was_impossible': False}),\n",
       " Prediction(uid=73196, iid='0425147363', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=129716, iid='0060916508', r_ui=10.0, est=3.331953958677121, details={'was_impossible': False}),\n",
       " Prediction(uid=182334, iid='0345435168', r_ui=8.0, est=1.8009659299699068, details={'was_impossible': False}),\n",
       " Prediction(uid=224435, iid='0312925883', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0425134350', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=130570, iid='051510521X', r_ui=7.0, est=1.443157632849281, details={'was_impossible': False}),\n",
       " Prediction(uid=123981, iid='0553279912', r_ui=0.0, est=1.8791748949829308, details={'was_impossible': False}),\n",
       " Prediction(uid=196077, iid='0312983824', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=156150, iid='0345325818', r_ui=0.0, est=2.1311215540434616, details={'was_impossible': False}),\n",
       " Prediction(uid=56856, iid='0786868619', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=141710, iid='0446606812', r_ui=0.0, est=1.3226094289185097, details={'was_impossible': False}),\n",
       " Prediction(uid=192245, iid='0425137562', r_ui=0.0, est=2.940638831908656, details={'was_impossible': False}),\n",
       " Prediction(uid=115490, iid='0345397819', r_ui=8.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=127384, iid='0553581023', r_ui=0.0, est=2.660837801242813, details={'was_impossible': False}),\n",
       " Prediction(uid=12824, iid='0380789019', r_ui=8.0, est=2.6956011569137535, details={'was_impossible': False}),\n",
       " Prediction(uid=30035, iid='0671028383', r_ui=0.0, est=2.117161011781649, details={'was_impossible': False}),\n",
       " Prediction(uid=263325, iid='067697175X', r_ui=0.0, est=4.380135392157706, details={'was_impossible': False}),\n",
       " Prediction(uid=265889, iid='0671036505', r_ui=0.0, est=3.6905427785019818, details={'was_impossible': False}),\n",
       " Prediction(uid=152354, iid='0380726254', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=140358, iid='0142000205', r_ui=5.0, est=4.711317084890897, details={'was_impossible': False}),\n",
       " Prediction(uid=7346, iid='0375727345', r_ui=0.0, est=2.483158768450993, details={'was_impossible': False}),\n",
       " Prediction(uid=128208, iid='0142001740', r_ui=0.0, est=2.4764581295096333, details={'was_impossible': False}),\n",
       " Prediction(uid=268330, iid='0451190491', r_ui=0.0, est=1.4690825261595022, details={'was_impossible': False}),\n",
       " Prediction(uid=55548, iid='0440343194', r_ui=0.0, est=3.368263284562417, details={'was_impossible': False}),\n",
       " Prediction(uid=100264, iid='0446603929', r_ui=0.0, est=1.995899211228666, details={'was_impossible': False}),\n",
       " Prediction(uid=87141, iid='0842329250', r_ui=0.0, est=2.547619063107757, details={'was_impossible': False}),\n",
       " Prediction(uid=230708, iid='0446608815', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=4092, iid='0812548051', r_ui=0.0, est=2.1971805658099943, details={'was_impossible': False}),\n",
       " Prediction(uid=168064, iid='0553280341', r_ui=0.0, est=1.6698662152668917, details={'was_impossible': False}),\n",
       " Prediction(uid=93047, iid='0316777730', r_ui=0.0, est=2.993028986528586, details={'was_impossible': False}),\n",
       " Prediction(uid=73196, iid='0440185327', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=73157, iid='0440200989', r_ui=5.0, est=1.8232685147455086, details={'was_impossible': False}),\n",
       " Prediction(uid=165308, iid='0439064872', r_ui=10.0, est=4.2496702861300495, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='0440170796', r_ui=0.0, est=1.0599841219339237, details={'was_impossible': False}),\n",
       " Prediction(uid=113467, iid='0425092917', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=225411, iid='0446605409', r_ui=5.0, est=3.0097136305385477, details={'was_impossible': False}),\n",
       " Prediction(uid=206979, iid='000649840X', r_ui=0.0, est=1.5029203034883392, details={'was_impossible': False}),\n",
       " Prediction(uid=75819, iid='0385504209', r_ui=10.0, est=6.305960512384013, details={'was_impossible': False}),\n",
       " Prediction(uid=262399, iid='0425174271', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=143415, iid='0385315236', r_ui=0.0, est=3.347164211193369, details={'was_impossible': False}),\n",
       " Prediction(uid=140410, iid='0446601241', r_ui=0.0, est=1.560803080686602, details={'was_impossible': False}),\n",
       " Prediction(uid=123825, iid='067697175X', r_ui=8.0, est=5.412988579716652, details={'was_impossible': False}),\n",
       " Prediction(uid=86189, iid='0399142851', r_ui=4.0, est=4.4694342963677425, details={'was_impossible': False}),\n",
       " Prediction(uid=251844, iid='140003065X', r_ui=0.0, est=3.8172076642508532, details={'was_impossible': False}),\n",
       " Prediction(uid=230522, iid='0553581554', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=208410, iid='0552996181', r_ui=0.0, est=2.4748266645980483, details={'was_impossible': False}),\n",
       " Prediction(uid=163973, iid='0446610038', r_ui=0.0, est=5.210673455903165, details={'was_impossible': False}),\n",
       " Prediction(uid=44845, iid='0060557257', r_ui=0.0, est=1.9097911191592578, details={'was_impossible': False}),\n",
       " Prediction(uid=39646, iid='051511054X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=136473, iid='038542471X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=142524, iid='0552996181', r_ui=9.0, est=2.1231731410799246, details={'was_impossible': False}),\n",
       " Prediction(uid=31315, iid='0451132378', r_ui=0.0, est=2.601120251587026, details={'was_impossible': False}),\n",
       " Prediction(uid=152514, iid='0446602620', r_ui=10.0, est=2.6885774313053394, details={'was_impossible': False}),\n",
       " Prediction(uid=199515, iid='0446600415', r_ui=10.0, est=2.3530160229090926, details={'was_impossible': False}),\n",
       " Prediction(uid=142121, iid='0446677450', r_ui=0.0, est=4.012945850114333, details={'was_impossible': False}),\n",
       " Prediction(uid=232945, iid='0425146413', r_ui=0.0, est=3.6855415006241774, details={'was_impossible': False}),\n",
       " Prediction(uid=53220, iid='0446604801', r_ui=10.0, est=5.720457576193188, details={'was_impossible': False}),\n",
       " Prediction(uid=133571, iid='0345347951', r_ui=0.0, est=2.9407486217628427, details={'was_impossible': False}),\n",
       " Prediction(uid=197364, iid='1573228214', r_ui=8.0, est=2.6018659562984445, details={'was_impossible': False}),\n",
       " Prediction(uid=83637, iid='0439064864', r_ui=9.0, est=5.720244967543907, details={'was_impossible': False}),\n",
       " Prediction(uid=11601, iid='0671867172', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=214786, iid='0451162145', r_ui=0.0, est=2.725774071181113, details={'was_impossible': False}),\n",
       " Prediction(uid=273979, iid='0671759361', r_ui=0.0, est=1.1384962697409096, details={'was_impossible': False}),\n",
       " Prediction(uid=55187, iid='0060175400', r_ui=8.0, est=3.3531606918729286, details={'was_impossible': False}),\n",
       " Prediction(uid=87143, iid='0451204956', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=177073, iid='0446601241', r_ui=0.0, est=2.1189052577222602, details={'was_impossible': False}),\n",
       " Prediction(uid=104144, iid='0743437802', r_ui=10.0, est=5.06264983091736, details={'was_impossible': False}),\n",
       " Prediction(uid=23768, iid='0786868716', r_ui=0.0, est=1.5655716133623325, details={'was_impossible': False}),\n",
       " Prediction(uid=234597, iid='0385472951', r_ui=8.0, est=3.7075792854325105, details={'was_impossible': False}),\n",
       " Prediction(uid=227705, iid='0425147517', r_ui=7.0, est=2.317474926083695, details={'was_impossible': False}),\n",
       " Prediction(uid=160401, iid='0671670646', r_ui=0.0, est=2.9175491415425987, details={'was_impossible': False}),\n",
       " Prediction(uid=104636, iid='0446612545', r_ui=0.0, est=5.2988287468362865, details={'was_impossible': False}),\n",
       " Prediction(uid=109779, iid='0451160525', r_ui=8.0, est=5.132288599449377, details={'was_impossible': False}),\n",
       " Prediction(uid=203240, iid='0440206154', r_ui=0.0, est=2.7631446861234, details={'was_impossible': False}),\n",
       " Prediction(uid=113519, iid='0312971125', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=166596, iid='0515102636', r_ui=0.0, est=2.051609625772324, details={'was_impossible': False}),\n",
       " Prediction(uid=203649, iid='0440211727', r_ui=0.0, est=1.5630583357832752, details={'was_impossible': False}),\n",
       " Prediction(uid=185176, iid='0439136350', r_ui=10.0, est=7.0050367540563645, details={'was_impossible': False}),\n",
       " Prediction(uid=78834, iid='0345387651', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=56856, iid='0449213943', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=114868, iid='0375412530', r_ui=0.0, est=2.164658030706704, details={'was_impossible': False}),\n",
       " Prediction(uid=124874, iid='0671003755', r_ui=10.0, est=4.8546215969859405, details={'was_impossible': False}),\n",
       " Prediction(uid=96357, iid='0060517794', r_ui=5.0, est=5.83431618461394, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='034543479X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=87141, iid='0385421982', r_ui=8.0, est=1.4505356151942523, details={'was_impossible': False}),\n",
       " Prediction(uid=14521, iid='0380001411', r_ui=0.0, est=1.3275432547910044, details={'was_impossible': False}),\n",
       " Prediction(uid=88677, iid='0312966806', r_ui=0.0, est=2.779242347213273, details={'was_impossible': False}),\n",
       " Prediction(uid=112026, iid='0446605239', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=24921, iid='0345423291', r_ui=0.0, est=2.3480769394965035, details={'was_impossible': False}),\n",
       " Prediction(uid=116599, iid='0373483503', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0345391055', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=181176, iid='0312147015', r_ui=0.0, est=1.8065275621283519, details={'was_impossible': False}),\n",
       " Prediction(uid=98904, iid='0399145087', r_ui=9.0, est=4.351806594971198, details={'was_impossible': False}),\n",
       " Prediction(uid=208907, iid='0451177096', r_ui=0.0, est=2.4582186848805434, details={'was_impossible': False}),\n",
       " Prediction(uid=232945, iid='0425180964', r_ui=9.0, est=3.3963516092192685, details={'was_impossible': False}),\n",
       " Prediction(uid=127359, iid='0553564528', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0553581554', r_ui=6.0, est=3.9677012828745113, details={'was_impossible': False}),\n",
       " Prediction(uid=264321, iid='0425142485', r_ui=0.0, est=1.5247291929631568, details={'was_impossible': False}),\n",
       " Prediction(uid=31315, iid='0553582747', r_ui=0.0, est=2.5283980485868796, details={'was_impossible': False}),\n",
       " Prediction(uid=158295, iid='0345413881', r_ui=0.0, est=3.000491948814756, details={'was_impossible': False}),\n",
       " Prediction(uid=164027, iid='0345438329', r_ui=0.0, est=1.5553887808125033, details={'was_impossible': False}),\n",
       " Prediction(uid=272573, iid='0385504209', r_ui=0.0, est=5.623730099236269, details={'was_impossible': False}),\n",
       " Prediction(uid=28666, iid='0440215625', r_ui=0.0, est=2.85099082924161, details={'was_impossible': False}),\n",
       " Prediction(uid=68555, iid='0380756293', r_ui=6.0, est=2.2816274859630066, details={'was_impossible': False}),\n",
       " Prediction(uid=269566, iid='155874262X', r_ui=0.0, est=2.1926386381201386, details={'was_impossible': False}),\n",
       " Prediction(uid=43246, iid='0375727345', r_ui=8.0, est=1.5349208992783645, details={'was_impossible': False}),\n",
       " Prediction(uid=31315, iid='0440204887', r_ui=0.0, est=2.9022251732154336, details={'was_impossible': False}),\n",
       " Prediction(uid=228579, iid='0156007479', r_ui=0.0, est=2.8860785634830273, details={'was_impossible': False}),\n",
       " Prediction(uid=130571, iid='0515102636', r_ui=0.0, est=3.2564510729852905, details={'was_impossible': False}),\n",
       " Prediction(uid=112001, iid='0440213290', r_ui=9.0, est=3.362011205321773, details={'was_impossible': False}),\n",
       " Prediction(uid=136010, iid='0553563521', r_ui=0.0, est=2.077375574611012, details={'was_impossible': False}),\n",
       " Prediction(uid=21014, iid='0440211263', r_ui=8.0, est=1.3847508626327538, details={'was_impossible': False}),\n",
       " Prediction(uid=31315, iid='044022473X', r_ui=0.0, est=1.5696426779243404, details={'was_impossible': False}),\n",
       " Prediction(uid=3371, iid='0425175405', r_ui=8.0, est=1.3418628674383193, details={'was_impossible': False}),\n",
       " Prediction(uid=263877, iid='0440234743', r_ui=0.0, est=1.4787940278497724, details={'was_impossible': False}),\n",
       " Prediction(uid=122429, iid='0804114986', r_ui=0.0, est=2.9460403829345814, details={'was_impossible': False}),\n",
       " Prediction(uid=138883, iid='0446605239', r_ui=10.0, est=1.9524711787193187, details={'was_impossible': False}),\n",
       " Prediction(uid=120090, iid='0671000306', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=237433, iid='0375705198', r_ui=0.0, est=3.2223505899823497, details={'was_impossible': False}),\n",
       " Prediction(uid=205735, iid='0385335881', r_ui=0.0, est=1.8213271475942556, details={'was_impossible': False}),\n",
       " Prediction(uid=64440, iid='0312282990', r_ui=0.0, est=1.3327252379327568, details={'was_impossible': False}),\n",
       " Prediction(uid=23511, iid='0425189031', r_ui=0.0, est=2.1665092841364006, details={'was_impossible': False}),\n",
       " Prediction(uid=250184, iid='0553572202', r_ui=8.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=114279, iid='0380973650', r_ui=0.0, est=2.815016613853175, details={'was_impossible': False}),\n",
       " Prediction(uid=68256, iid='0439064872', r_ui=7.0, est=3.193897735343063, details={'was_impossible': False}),\n",
       " Prediction(uid=87555, iid='0142004235', r_ui=0.0, est=2.1311795494034484, details={'was_impossible': False}),\n",
       " Prediction(uid=131402, iid='0446527785', r_ui=0.0, est=1.3541125314951459, details={'was_impossible': False}),\n",
       " Prediction(uid=246655, iid='0440214041', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=224340, iid='0380731851', r_ui=10.0, est=1.468060646957933, details={'was_impossible': False}),\n",
       " Prediction(uid=27472, iid='0345434803', r_ui=0.0, est=4.257232438676406, details={'was_impossible': False}),\n",
       " Prediction(uid=201684, iid='089480829X', r_ui=6.0, est=4.3959349903636715, details={'was_impossible': False}),\n",
       " Prediction(uid=172742, iid='1558744150', r_ui=0.0, est=2.276349502551627, details={'was_impossible': False}),\n",
       " Prediction(uid=268300, iid='0345339681', r_ui=8.0, est=7.235455451796211, details={'was_impossible': False}),\n",
       " Prediction(uid=47118, iid='0553213148', r_ui=0.0, est=4.489304166119952, details={'was_impossible': False}),\n",
       " Prediction(uid=255618, iid='006101351X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=116183, iid='0425152251', r_ui=10.0, est=3.616221308786093, details={'was_impossible': False}),\n",
       " Prediction(uid=86145, iid='0671004107', r_ui=0.0, est=3.3472939047713686, details={'was_impossible': False}),\n",
       " Prediction(uid=237748, iid='0451192001', r_ui=0.0, est=1.9782769034303715, details={'was_impossible': False}),\n",
       " Prediction(uid=81597, iid='0679433740', r_ui=0.0, est=3.5840219242767954, details={'was_impossible': False}),\n",
       " Prediction(uid=242646, iid='0440220602', r_ui=0.0, est=2.750282296599956, details={'was_impossible': False}),\n",
       " Prediction(uid=164323, iid='0440224594', r_ui=7.0, est=3.8772297597587837, details={'was_impossible': False}),\n",
       " Prediction(uid=55607, iid='0449212602', r_ui=0.0, est=3.016152629822783, details={'was_impossible': False}),\n",
       " Prediction(uid=194669, iid='0385335881', r_ui=8.0, est=1.631592608061767, details={'was_impossible': False}),\n",
       " Prediction(uid=21014, iid='0140179836', r_ui=0.0, est=1.2691385656381726, details={'was_impossible': False}),\n",
       " Prediction(uid=242499, iid='0345335465', r_ui=0.0, est=3.4279302662624733, details={'was_impossible': False}),\n",
       " Prediction(uid=242106, iid='0425178579', r_ui=0.0, est=2.817308741831657, details={'was_impossible': False}),\n",
       " Prediction(uid=271705, iid='0060502258', r_ui=8.0, est=3.5460917581913316, details={'was_impossible': False}),\n",
       " Prediction(uid=23768, iid='0842332251', r_ui=0.0, est=1.9521424199609159, details={'was_impossible': False}),\n",
       " Prediction(uid=30509, iid='0860074382', r_ui=0.0, est=3.100020105584588, details={'was_impossible': False}),\n",
       " Prediction(uid=7346, iid='0553250426', r_ui=0.0, est=3.474419986059681, details={'was_impossible': False}),\n",
       " Prediction(uid=155141, iid='0312144075', r_ui=0.0, est=4.011332564461701, details={'was_impossible': False}),\n",
       " Prediction(uid=115120, iid='0441010512', r_ui=0.0, est=1.3395388938156338, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0451203771', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=95359, iid='067976397X', r_ui=0.0, est=3.6206125571740735, details={'was_impossible': False}),\n",
       " Prediction(uid=94951, iid='0553278746', r_ui=10.0, est=3.230836043845528, details={'was_impossible': False}),\n",
       " Prediction(uid=252071, iid='0312291639', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=244349, iid='0440213525', r_ui=0.0, est=1.15372342788882, details={'was_impossible': False}),\n",
       " Prediction(uid=16246, iid='0425167313', r_ui=0.0, est=1.9742895606351767, details={'was_impossible': False}),\n",
       " Prediction(uid=209756, iid='0060090367', r_ui=5.0, est=1.524343199796104, details={'was_impossible': False}),\n",
       " Prediction(uid=86835, iid='0375706771', r_ui=10.0, est=1.7410853323492173, details={'was_impossible': False}),\n",
       " Prediction(uid=89014, iid='044023722X', r_ui=0.0, est=1.086350622494217, details={'was_impossible': False}),\n",
       " Prediction(uid=144531, iid='0142001740', r_ui=0.0, est=3.2525874901160368, details={'was_impossible': False}),\n",
       " Prediction(uid=74758, iid='0446608955', r_ui=0.0, est=2.4868999681003725, details={'was_impossible': False}),\n",
       " Prediction(uid=170742, iid='0425147622', r_ui=0.0, est=1.0513215268119767, details={'was_impossible': False}),\n",
       " Prediction(uid=271375, iid='0060175966', r_ui=0.0, est=3.3669467003034383, details={'was_impossible': False}),\n",
       " Prediction(uid=251422, iid='0316789089', r_ui=0.0, est=1.5964407906861395, details={'was_impossible': False}),\n",
       " Prediction(uid=153042, iid='0440235596', r_ui=0.0, est=2.238497619616837, details={'was_impossible': False}),\n",
       " Prediction(uid=168036, iid='0425151875', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=172030, iid='0679434046', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=236283, iid='0380718340', r_ui=0.0, est=2.6868559375938146, details={'was_impossible': False}),\n",
       " Prediction(uid=187624, iid='0345370775', r_ui=10.0, est=3.3095958972795296, details={'was_impossible': False}),\n",
       " Prediction(uid=235392, iid='0425175405', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=172852, iid='0446360589', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=115120, iid='067100042X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=270820, iid='0553278746', r_ui=0.0, est=3.3912635858878426, details={'was_impossible': False}),\n",
       " Prediction(uid=55492, iid='0446610100', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=220278, iid='0671822209', r_ui=0.0, est=1.1020411764374392, details={'was_impossible': False}),\n",
       " Prediction(uid=142005, iid='0425097609', r_ui=7.0, est=2.9872226399047874, details={'was_impossible': False}),\n",
       " Prediction(uid=40796, iid='0380718340', r_ui=0.0, est=2.679091215453826, details={'was_impossible': False}),\n",
       " Prediction(uid=252071, iid='042513525X', r_ui=0.0, est=1.1847969203708395, details={'was_impossible': False}),\n",
       " Prediction(uid=82511, iid='0971880107', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=256407, iid='0515119644', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=106225, iid='0142001740', r_ui=8.0, est=2.4372263344486575, details={'was_impossible': False}),\n",
       " Prediction(uid=159506, iid='0446353205', r_ui=8.0, est=5.366505831966311, details={'was_impossible': False}),\n",
       " Prediction(uid=77480, iid='0446611212', r_ui=0.0, est=3.0389919594950143, details={'was_impossible': False}),\n",
       " Prediction(uid=14768, iid='0451524934', r_ui=0.0, est=3.145926285201318, details={'was_impossible': False}),\n",
       " Prediction(uid=251844, iid='0743407083', r_ui=0.0, est=4.112249299039861, details={'was_impossible': False}),\n",
       " Prediction(uid=69697, iid='034541389X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=95991, iid='0425133540', r_ui=0.0, est=2.651734617884742, details={'was_impossible': False}),\n",
       " Prediction(uid=37712, iid='0345436911', r_ui=8.0, est=3.8028785729336922, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0684848783', r_ui=6.0, est=5.106592824163421, details={'was_impossible': False}),\n",
       " Prediction(uid=185176, iid='038529929X', r_ui=0.0, est=3.8630784934028464, details={'was_impossible': False}),\n",
       " Prediction(uid=201042, iid='0441569595', r_ui=0.0, est=2.507251177188216, details={'was_impossible': False}),\n",
       " Prediction(uid=147965, iid='0553583441', r_ui=4.0, est=1.7604270900095451, details={'was_impossible': False}),\n",
       " Prediction(uid=146348, iid='0684800713', r_ui=0.0, est=1.7025929066127585, details={'was_impossible': False}),\n",
       " Prediction(uid=268330, iid='0345413873', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=43619, iid='0451149513', r_ui=0.0, est=2.058494508050911, details={'was_impossible': False}),\n",
       " Prediction(uid=161936, iid='0385486804', r_ui=0.0, est=4.31109681154727, details={'was_impossible': False}),\n",
       " Prediction(uid=6323, iid='0553574663', r_ui=0.0, est=1.8006320312368902, details={'was_impossible': False}),\n",
       " Prediction(uid=204591, iid='0451206525', r_ui=0.0, est=1.7392776266451428, details={'was_impossible': False}),\n",
       " Prediction(uid=148712, iid='0446605484', r_ui=0.0, est=2.8733485839377977, details={'was_impossible': False}),\n",
       " Prediction(uid=31556, iid='0064407667', r_ui=7.0, est=1.8487754245861892, details={'was_impossible': False}),\n",
       " Prediction(uid=230496, iid='0671024248', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=141491, iid='006016848X', r_ui=5.0, est=2.5727287481850354, details={'was_impossible': False}),\n",
       " Prediction(uid=135149, iid='0553582747', r_ui=0.0, est=2.682010158253062, details={'was_impossible': False}),\n",
       " Prediction(uid=224349, iid='0345443284', r_ui=0.0, est=1.2210550092411818, details={'was_impossible': False}),\n",
       " Prediction(uid=160558, iid='0060930535', r_ui=5.0, est=3.8953075966941477, details={'was_impossible': False}),\n",
       " Prediction(uid=21014, iid='0451202341', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=122793, iid='0446532452', r_ui=10.0, est=3.7602145516115693, details={'was_impossible': False}),\n",
       " Prediction(uid=225886, iid='0449003787', r_ui=0.0, est=3.206521711063562, details={'was_impossible': False}),\n",
       " Prediction(uid=157273, iid='0060168013', r_ui=0.0, est=1.2663153292017792, details={'was_impossible': False}),\n",
       " Prediction(uid=189516, iid='0446606812', r_ui=0.0, est=1.8073748391030198, details={'was_impossible': False}),\n",
       " Prediction(uid=192093, iid='1400031362', r_ui=0.0, est=2.4853154151371877, details={'was_impossible': False}),\n",
       " Prediction(uid=146348, iid='0743436210', r_ui=0.0, est=1.457521649445356, details={'was_impossible': False}),\n",
       " Prediction(uid=198711, iid='0671873202', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=78783, iid='0316096199', r_ui=0.0, est=2.04455762879778, details={'was_impossible': False}),\n",
       " Prediction(uid=23680, iid='015600710X', r_ui=0.0, est=2.888550860698133, details={'was_impossible': False}),\n",
       " Prediction(uid=231351, iid='034539657X', r_ui=8.0, est=4.2480432009380245, details={'was_impossible': False}),\n",
       " Prediction(uid=3371, iid='0671568175', r_ui=0.0, est=1.6043383349637041, details={'was_impossible': False}),\n",
       " Prediction(uid=70541, iid='0671729411', r_ui=0.0, est=4.764997229497682, details={'was_impossible': False}),\n",
       " Prediction(uid=8245, iid='039592720X', r_ui=8.0, est=5.315102974528571, details={'was_impossible': False}),\n",
       " Prediction(uid=190925, iid='0786817070', r_ui=0.0, est=2.615481016455875, details={'was_impossible': False}),\n",
       " Prediction(uid=109574, iid='0786868716', r_ui=0.0, est=4.648219584258285, details={'was_impossible': False}),\n",
       " Prediction(uid=236757, iid='0345427637', r_ui=0.0, est=1.6742702770272109, details={'was_impossible': False}),\n",
       " Prediction(uid=53220, iid='0446364193', r_ui=10.0, est=5.646651215267042, details={'was_impossible': False}),\n",
       " Prediction(uid=60858, iid='0425192725', r_ui=0.0, est=2.093069060880424, details={'was_impossible': False}),\n",
       " Prediction(uid=73394, iid='0440224705', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=227447, iid='0425184943', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=26544, iid='0345339738', r_ui=0.0, est=1.6658179411117802, details={'was_impossible': False}),\n",
       " Prediction(uid=81207, iid='0060936231', r_ui=0.0, est=2.518908580791148, details={'was_impossible': False}),\n",
       " Prediction(uid=165758, iid='0441783589', r_ui=5.0, est=3.4361809818807183, details={'was_impossible': False}),\n",
       " Prediction(uid=30273, iid='0451206673', r_ui=8.0, est=2.179598988146457, details={'was_impossible': False}),\n",
       " Prediction(uid=138578, iid='0316693006', r_ui=9.0, est=5.517788201311335, details={'was_impossible': False}),\n",
       " Prediction(uid=173879, iid='0425107469', r_ui=0.0, est=1.1551185809302584, details={'was_impossible': False}),\n",
       " Prediction(uid=120090, iid='0440224772', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=223190, iid='0446606383', r_ui=0.0, est=3.829086462192545, details={'was_impossible': False}),\n",
       " Prediction(uid=78846, iid='0140265686', r_ui=0.0, est=2.9483568379274936, details={'was_impossible': False}),\n",
       " Prediction(uid=163358, iid='0099800403', r_ui=8.0, est=3.1270411961016005, details={'was_impossible': False}),\n",
       " Prediction(uid=48975, iid='0553275976', r_ui=0.0, est=2.47323291727392, details={'was_impossible': False}),\n",
       " Prediction(uid=81492, iid='0449005836', r_ui=0.0, est=1.5089494888914845, details={'was_impossible': False}),\n",
       " Prediction(uid=123981, iid='0671886665', r_ui=6.0, est=1.361300341720827, details={'was_impossible': False}),\n",
       " Prediction(uid=234623, iid='0425113884', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=110029, iid='0671026682', r_ui=0.0, est=1.2751303226925075, details={'was_impossible': False}),\n",
       " Prediction(uid=130474, iid='0440207622', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0671011367', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=43806, iid='1551668912', r_ui=0.0, est=1.3696088477072117, details={'was_impossible': False}),\n",
       " Prediction(uid=127233, iid='0425162443', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=102967, iid='0553579754', r_ui=0.0, est=1.0618290789397962, details={'was_impossible': False}),\n",
       " Prediction(uid=159033, iid='0440217520', r_ui=0.0, est=1.2790548536749786, details={'was_impossible': False}),\n",
       " Prediction(uid=238699, iid='0821769278', r_ui=0.0, est=1.2115393432790755, details={'was_impossible': False}),\n",
       " Prediction(uid=187145, iid='0452279178', r_ui=0.0, est=3.45074666458333, details={'was_impossible': False}),\n",
       " Prediction(uid=252071, iid='0345422384', r_ui=7.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=55492, iid='0140132708', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=243929, iid='038572179X', r_ui=7.0, est=2.9771706951058845, details={'was_impossible': False}),\n",
       " Prediction(uid=225810, iid='0446608653', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='1558743669', r_ui=0.0, est=1.7166851620384107, details={'was_impossible': False}),\n",
       " Prediction(uid=227447, iid='0515127833', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=30806, iid='0385722206', r_ui=0.0, est=2.089733354029769, details={'was_impossible': False}),\n",
       " Prediction(uid=102647, iid='0446600474', r_ui=0.0, est=2.521769334663694, details={'was_impossible': False}),\n",
       " Prediction(uid=170513, iid='0316666343', r_ui=0.0, est=3.679608398281507, details={'was_impossible': False}),\n",
       " Prediction(uid=268932, iid='0670869902', r_ui=9.0, est=3.120935994841594, details={'was_impossible': False}),\n",
       " Prediction(uid=236283, iid='0553295772', r_ui=0.0, est=1.3795758431787877, details={'was_impossible': False}),\n",
       " Prediction(uid=16106, iid='0439136350', r_ui=0.0, est=5.7179025746183765, details={'was_impossible': False}),\n",
       " Prediction(uid=226393, iid='0446670251', r_ui=10.0, est=1.6576912643234767, details={'was_impossible': False}),\n",
       " Prediction(uid=185233, iid='0425162443', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=273979, iid='0060930535', r_ui=0.0, est=1.0299540809286771, details={'was_impossible': False}),\n",
       " Prediction(uid=92547, iid='0446606812', r_ui=0.0, est=3.195331794060687, details={'was_impossible': False}),\n",
       " Prediction(uid=81609, iid='0553576798', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=6575, iid='0375412824', r_ui=0.0, est=2.5948372529688424, details={'was_impossible': False}),\n",
       " Prediction(uid=89014, iid='0451191153', r_ui=0.0, est=1.7866896659101452, details={'was_impossible': False}),\n",
       " Prediction(uid=130571, iid='0385324057', r_ui=0.0, est=2.156919887791619, details={'was_impossible': False}),\n",
       " Prediction(uid=187145, iid='0670865796', r_ui=0.0, est=1.904046022257765, details={'was_impossible': False}),\n",
       " Prediction(uid=214651, iid='0394742117', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=172030, iid='0671534718', r_ui=0.0, est=1.129076282882421, details={'was_impossible': False}),\n",
       " Prediction(uid=48911, iid='0440224764', r_ui=0.0, est=3.2140843542471726, details={'was_impossible': False}),\n",
       " Prediction(uid=11676, iid='0312983271', r_ui=0.0, est=4.998553633220447, details={'was_impossible': False}),\n",
       " Prediction(uid=278137, iid='0804106304', r_ui=8.0, est=2.16179801272355, details={'was_impossible': False}),\n",
       " Prediction(uid=209373, iid='006101351X', r_ui=0.0, est=1.3546172678761805, details={'was_impossible': False}),\n",
       " Prediction(uid=151702, iid='0060929871', r_ui=0.0, est=1.9526777786452372, details={'was_impossible': False}),\n",
       " Prediction(uid=224764, iid='0061030635', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=81977, iid='0380977788', r_ui=9.0, est=2.6332744735676163, details={'was_impossible': False}),\n",
       " Prediction(uid=164533, iid='0804106304', r_ui=0.0, est=2.2345373416417735, details={'was_impossible': False}),\n",
       " Prediction(uid=251843, iid='0452282152', r_ui=0.0, est=5.332414945910621, details={'was_impossible': False}),\n",
       " Prediction(uid=105627, iid='0805059555', r_ui=7.0, est=2.5501894243262244, details={'was_impossible': False}),\n",
       " Prediction(uid=238526, iid='0553285785', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=241980, iid='031298328X', r_ui=9.0, est=3.956854800297457, details={'was_impossible': False}),\n",
       " Prediction(uid=30824, iid='0553586122', r_ui=0.0, est=1.1277377643741304, details={'was_impossible': False}),\n",
       " Prediction(uid=198711, iid='0345317580', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=185233, iid='1558744150', r_ui=5.0, est=1.6155043038473913, details={'was_impossible': False}),\n",
       " Prediction(uid=55492, iid='006109918X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=35859, iid='0142000205', r_ui=0.0, est=1.5137424783778628, details={'was_impossible': False}),\n",
       " Prediction(uid=194669, iid='0312983298', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=69697, iid='0373250142', r_ui=0.0, est=1.1475631511797617, details={'was_impossible': False}),\n",
       " Prediction(uid=259626, iid='0151008116', r_ui=6.0, est=3.4524095995196804, details={'was_impossible': False}),\n",
       " Prediction(uid=107021, iid='0743406184', r_ui=0.0, est=1.1811256027285388, details={'was_impossible': False}),\n",
       " Prediction(uid=20409, iid='0767916069', r_ui=0.0, est=2.3755596284875455, details={'was_impossible': False}),\n",
       " Prediction(uid=24186, iid='0440225701', r_ui=0.0, est=2.9515474809804303, details={'was_impossible': False}),\n",
       " Prediction(uid=205383, iid='0425124347', r_ui=0.0, est=3.3390549186728746, details={'was_impossible': False}),\n",
       " Prediction(uid=238120, iid='0385265700', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=277427, iid='0061030430', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=236340, iid='0425100650', r_ui=0.0, est=2.3540668063599037, details={'was_impossible': False}),\n",
       " Prediction(uid=184365, iid='0375727345', r_ui=0.0, est=3.4679357121351466, details={'was_impossible': False}),\n",
       " Prediction(uid=34864, iid='1400031354', r_ui=0.0, est=2.563766160547769, details={'was_impossible': False}),\n",
       " Prediction(uid=38281, iid='0151008116', r_ui=9.0, est=4.9653669258156725, details={'was_impossible': False}),\n",
       " Prediction(uid=52584, iid='0440224837', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=263877, iid='0679744398', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=36836, iid='0805036377', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=173486, iid='0451183665', r_ui=0.0, est=2.6310589919620044, details={'was_impossible': False}),\n",
       " Prediction(uid=183196, iid='038542017X', r_ui=0.0, est=2.9119049670340904, details={'was_impossible': False}),\n",
       " Prediction(uid=7915, iid='0375706771', r_ui=8.0, est=2.1330525741884343, details={'was_impossible': False}),\n",
       " Prediction(uid=230249, iid='055356451X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=270554, iid='015100692X', r_ui=9.0, est=3.5230696996356667, details={'was_impossible': False}),\n",
       " Prediction(uid=9747, iid='0670878847', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=217121, iid='0375706410', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=24921, iid='0440940001', r_ui=0.0, est=1.8863641703112517, details={'was_impossible': False}),\n",
       " Prediction(uid=217375, iid='0446675059', r_ui=0.0, est=1.4222761511300925, details={'was_impossible': False}),\n",
       " Prediction(uid=109901, iid='0140053204', r_ui=8.0, est=6.305636016354633, details={'was_impossible': False}),\n",
       " Prediction(uid=250015, iid='0515125628', r_ui=0.0, est=1.7132090801995359, details={'was_impossible': False}),\n",
       " Prediction(uid=175003, iid='0380731851', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=78783, iid='0440224845', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=148798, iid='0553565915', r_ui=0.0, est=2.2881526985524125, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0425147584', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=254144, iid='0515132020', r_ui=0.0, est=3.797045767237904, details={'was_impossible': False}),\n",
       " Prediction(uid=127429, iid='014023313X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=141210, iid='0553289411', r_ui=0.0, est=2.950260805255192, details={'was_impossible': False}),\n",
       " Prediction(uid=59727, iid='0786884592', r_ui=0.0, est=2.3514526268344538, details={'was_impossible': False}),\n",
       " Prediction(uid=207494, iid='0425133516', r_ui=10.0, est=4.117449833025601, details={'was_impossible': False}),\n",
       " Prediction(uid=49889, iid='0553586122', r_ui=0.0, est=1.2853148466304984, details={'was_impossible': False}),\n",
       " Prediction(uid=35857, iid='0425113884', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=81368, iid='038531700X', r_ui=0.0, est=2.264121756596352, details={'was_impossible': False}),\n",
       " Prediction(uid=38023, iid='034530988X', r_ui=0.0, est=2.5201177577849885, details={'was_impossible': False}),\n",
       " Prediction(uid=269157, iid='0449003787', r_ui=0.0, est=1.526296645903694, details={'was_impossible': False}),\n",
       " Prediction(uid=240144, iid='0684810387', r_ui=0.0, est=2.093611628226507, details={'was_impossible': False}),\n",
       " Prediction(uid=198711, iid='0446603589', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=81492, iid='0316601950', r_ui=0.0, est=2.293859555980038, details={'was_impossible': False}),\n",
       " Prediction(uid=229313, iid='0440211727', r_ui=0.0, est=2.8421747193521085, details={'was_impossible': False}),\n",
       " Prediction(uid=101876, iid='0449907481', r_ui=0.0, est=1.7185062293071263, details={'was_impossible': False}),\n",
       " Prediction(uid=196077, iid='0553565915', r_ui=0.0, est=1.2714043933044317, details={'was_impossible': False}),\n",
       " Prediction(uid=201674, iid='0425167313', r_ui=0.0, est=1.3091306931229818, details={'was_impossible': False}),\n",
       " Prediction(uid=73681, iid='0425166619', r_ui=7.0, est=4.2589122800883805, details={'was_impossible': False}),\n",
       " Prediction(uid=141958, iid='0440206154', r_ui=7.0, est=2.968791474850403, details={'was_impossible': False}),\n",
       " Prediction(uid=271705, iid='0142004278', r_ui=0.0, est=2.8435843923706545, details={'was_impossible': False}),\n",
       " Prediction(uid=182993, iid='0385335881', r_ui=10.0, est=3.9779926861265738, details={'was_impossible': False}),\n",
       " Prediction(uid=49460, iid='0451184718', r_ui=9.0, est=2.678974736686693, details={'was_impossible': False}),\n",
       " Prediction(uid=232131, iid='0449003981', r_ui=0.0, est=1.0519919395629624, details={'was_impossible': False}),\n",
       " Prediction(uid=234623, iid='0679772677', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=201969, iid='0446612790', r_ui=4.0, est=3.8106197088398526, details={'was_impossible': False}),\n",
       " Prediction(uid=37293, iid='0345413377', r_ui=0.0, est=4.24516010034664, details={'was_impossible': False}),\n",
       " Prediction(uid=200226, iid='0446527033', r_ui=0.0, est=2.9820677082137506, details={'was_impossible': False}),\n",
       " Prediction(uid=16966, iid='0345423402', r_ui=6.0, est=2.7054102172984305, details={'was_impossible': False}),\n",
       " Prediction(uid=60244, iid='0142004278', r_ui=0.0, est=1.9615281680895291, details={'was_impossible': False}),\n",
       " Prediction(uid=253821, iid='0440201926', r_ui=0.0, est=1.2519517375259899, details={'was_impossible': False}),\n",
       " Prediction(uid=179019, iid='0060929871', r_ui=8.0, est=4.904310239239782, details={'was_impossible': False}),\n",
       " Prediction(uid=166596, iid='0440235154', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=136010, iid='0380703882', r_ui=0.0, est=1.8391482494048184, details={'was_impossible': False}),\n",
       " Prediction(uid=170192, iid='0375760911', r_ui=0.0, est=2.286952075156482, details={'was_impossible': False}),\n",
       " Prediction(uid=204864, iid='014025448X', r_ui=0.0, est=2.781810858300438, details={'was_impossible': False}),\n",
       " Prediction(uid=18082, iid='0446364193', r_ui=7.0, est=3.25802685161, details={'was_impossible': False}),\n",
       " Prediction(uid=194519, iid='0441172717', r_ui=0.0, est=3.286411735797895, details={'was_impossible': False}),\n",
       " Prediction(uid=173481, iid='0061098795', r_ui=0.0, est=1.5909095605692558, details={'was_impossible': False}),\n",
       " Prediction(uid=233911, iid='006092988X', r_ui=10.0, est=1.238341426639872, details={'was_impossible': False}),\n",
       " Prediction(uid=254201, iid='0671004107', r_ui=0.0, est=5.940527302390495, details={'was_impossible': False}),\n",
       " Prediction(uid=10447, iid='014025448X', r_ui=9.0, est=2.897987374061408, details={'was_impossible': False}),\n",
       " Prediction(uid=115490, iid='0446605239', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=153662, iid='0060175400', r_ui=0.0, est=2.773559845096754, details={'was_impossible': False}),\n",
       " Prediction(uid=245645, iid='0316777722', r_ui=0.0, est=4.188790776024284, details={'was_impossible': False}),\n",
       " Prediction(uid=268110, iid='0375502238', r_ui=0.0, est=2.5940845817024334, details={'was_impossible': False}),\n",
       " Prediction(uid=165308, iid='0373250142', r_ui=0.0, est=2.85650938738524, details={'was_impossible': False}),\n",
       " Prediction(uid=69721, iid='0345368754', r_ui=10.0, est=2.0603526895126985, details={'was_impossible': False}),\n",
       " Prediction(uid=76352, iid='0553280147', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=179733, iid='0440226430', r_ui=0.0, est=1.3132251573702274, details={'was_impossible': False}),\n",
       " Prediction(uid=122440, iid='0345342968', r_ui=0.0, est=4.353405285037589, details={'was_impossible': False}),\n",
       " Prediction(uid=123981, iid='0345300203', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=60244, iid='0671537458', r_ui=0.0, est=1.4066201136484306, details={'was_impossible': False}),\n",
       " Prediction(uid=100846, iid='0553582127', r_ui=0.0, est=1.2224637741616715, details={'was_impossible': False}),\n",
       " Prediction(uid=43842, iid='0060959037', r_ui=0.0, est=2.141698352869947, details={'was_impossible': False}),\n",
       " Prediction(uid=46398, iid='0345313860', r_ui=0.0, est=3.895432118457223, details={'was_impossible': False}),\n",
       " Prediction(uid=59038, iid='044021145X', r_ui=10.0, est=1.4174528072376456, details={'was_impossible': False}),\n",
       " Prediction(uid=125039, iid='0345368754', r_ui=8.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=196077, iid='0684848783', r_ui=0.0, est=1.314560050071485, details={'was_impossible': False}),\n",
       " Prediction(uid=115120, iid='0446354678', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=154469, iid='0312966970', r_ui=0.0, est=5.97239926864154, details={'was_impossible': False}),\n",
       " Prediction(uid=51450, iid='0440213290', r_ui=0.0, est=1.193443006923292, details={'was_impossible': False}),\n",
       " Prediction(uid=152354, iid='0515129933', r_ui=0.0, est=1.5306819163483847, details={'was_impossible': False}),\n",
       " Prediction(uid=108155, iid='0671003755', r_ui=7.0, est=2.5249593398482224, details={'was_impossible': False}),\n",
       " Prediction(uid=115120, iid='038531700X', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=239584, iid='044022425X', r_ui=0.0, est=4.020615590524217, details={'was_impossible': False}),\n",
       " Prediction(uid=240144, iid='0385504209', r_ui=0.0, est=3.300151424759073, details={'was_impossible': False}),\n",
       " Prediction(uid=196077, iid='0345389964', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=201674, iid='0425131769', r_ui=0.0, est=1.42835825653236, details={'was_impossible': False}),\n",
       " Prediction(uid=86202, iid='0449212602', r_ui=9.0, est=2.6835539058099833, details={'was_impossible': False}),\n",
       " Prediction(uid=89014, iid='0743211375', r_ui=7.0, est=2.0737147930568134, details={'was_impossible': False}),\n",
       " Prediction(uid=254465, iid='0316781266', r_ui=0.0, est=2.248293639718337, details={'was_impossible': False}),\n",
       " Prediction(uid=209373, iid='0671743058', r_ui=0.0, est=1.989595833009909, details={'was_impossible': False}),\n",
       " Prediction(uid=31556, iid='0061000043', r_ui=8.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=130474, iid='0451149513', r_ui=0.0, est=1.1882992601046418, details={'was_impossible': False}),\n",
       " Prediction(uid=128696, iid='0345391802', r_ui=0.0, est=2.5748474188073738, details={'was_impossible': False}),\n",
       " Prediction(uid=273979, iid='0812969812', r_ui=0.0, est=1, details={'was_impossible': False}),\n",
       " Prediction(uid=163326, iid='0375706771', r_ui=0.0, est=2.766257467477418, details={'was_impossible': False}),\n",
       " Prediction(uid=59172, iid='014038572X', r_ui=0.0, est=3.4497938583152177, details={'was_impossible': False}),\n",
       " Prediction(uid=163570, iid='0375504397', r_ui=9.0, est=5.583285174151728, details={'was_impossible': False}),\n",
       " Prediction(uid=177458, iid='0312983271', r_ui=7.0, est=1.491305343891061, details={'was_impossible': False}),\n",
       " Prediction(uid=111174, iid='1558531025', r_ui=0.0, est=3.5253356077049904, details={'was_impossible': False}),\n",
       " Prediction(uid=78783, iid='1400034779', r_ui=0.0, est=1.5667786594229267, details={'was_impossible': False}),\n",
       " Prediction(uid=38229, iid='0671510053', r_ui=0.0, est=1.8623980655816026, details={'was_impossible': False}),\n",
       " ...]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 3.3490\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "3.3490318336618254"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy.rmse(predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BaselineOnly\n"
     ]
    }
   ],
   "source": [
    "trainset = algo.trainset\n",
    "print(algo.__class__.__name__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_Iu(uid):\n",
    "    \"\"\" return the number of items rated by given user\n",
    "    args: \n",
    "      uid: the id of the user\n",
    "    returns: \n",
    "      the number of items rated by the user\n",
    "    \"\"\"\n",
    "    try:\n",
    "        return len(trainset.ur[trainset.to_inner_uid(uid)])\n",
    "    except ValueError:  # user was not part of the trainset\n",
    "        return 0\n",
    "\n",
    "\n",
    "def get_Ui(iid):\n",
    "    \"\"\" return number of users that have rated given item\n",
    "    args:\n",
    "      iid: the raw id of the item\n",
    "    returns:\n",
    "      the number of users that have rated the item.\n",
    "    \"\"\"\n",
    "    try:\n",
    "        return len(trainset.ir[trainset.to_inner_iid(iid)])\n",
    "    except ValueError:\n",
    "        return 0\n",
    "\n",
    "\n",
    "df = pd.DataFrame(predictions, columns=['uid', 'iid', 'rui', 'est', 'details'])\n",
    "df['Iu'] = df.uid.apply(get_Iu)\n",
    "df['Ui'] = df.iid.apply(get_Ui)\n",
    "df['err'] = abs(df.est - df.rui)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uid</th>\n",
       "      <th>iid</th>\n",
       "      <th>rui</th>\n",
       "      <th>est</th>\n",
       "      <th>details</th>\n",
       "      <th>Iu</th>\n",
       "      <th>Ui</th>\n",
       "      <th>err</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>184532</td>\n",
       "      <td>0345391055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.569432</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>29</td>\n",
       "      <td>107</td>\n",
       "      <td>4.569432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16916</td>\n",
       "      <td>0440222656</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.369212</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>80</td>\n",
       "      <td>192</td>\n",
       "      <td>5.630788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11676</td>\n",
       "      <td>0440219078</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.805108</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>1146</td>\n",
       "      <td>56</td>\n",
       "      <td>1.194892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>57398</td>\n",
       "      <td>0446605239</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.755280</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>35</td>\n",
       "      <td>208</td>\n",
       "      <td>3.755280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12538</td>\n",
       "      <td>038542471X</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>123</td>\n",
       "      <td>46</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      uid         iid  rui       est                    details    Iu   Ui  \\\n",
       "0  184532  0345391055  0.0  4.569432  {'was_impossible': False}    29  107   \n",
       "1   16916  0440222656  7.0  1.369212  {'was_impossible': False}    80  192   \n",
       "2   11676  0440219078  7.0  5.805108  {'was_impossible': False}  1146   56   \n",
       "3   57398  0446605239  0.0  3.755280  {'was_impossible': False}    35  208   \n",
       "4   12538  038542471X  0.0  1.000000  {'was_impossible': False}   123   46   \n",
       "\n",
       "        err  \n",
       "0  4.569432  \n",
       "1  5.630788  \n",
       "2  1.194892  \n",
       "3  3.755280  \n",
       "4  1.000000  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Podemos guardar las mejores y peores predicciones\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_predictions = df.sort_values(by='err')[:10]\n",
    "worst_predictions = df.sort_values(by='err')[-10:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uid</th>\n",
       "      <th>iid</th>\n",
       "      <th>rui</th>\n",
       "      <th>est</th>\n",
       "      <th>details</th>\n",
       "      <th>Iu</th>\n",
       "      <th>Ui</th>\n",
       "      <th>err</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13330</th>\n",
       "      <td>129851</td>\n",
       "      <td>0971880107</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>37</td>\n",
       "      <td>636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3336</th>\n",
       "      <td>40943</td>\n",
       "      <td>0312288115</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>124</td>\n",
       "      <td>32</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26997</th>\n",
       "      <td>41667</td>\n",
       "      <td>0971880107</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>9</td>\n",
       "      <td>636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23682</th>\n",
       "      <td>233911</td>\n",
       "      <td>0345427637</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>44</td>\n",
       "      <td>76</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19655</th>\n",
       "      <td>170595</td>\n",
       "      <td>0425178765</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>21</td>\n",
       "      <td>62</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30495</th>\n",
       "      <td>177432</td>\n",
       "      <td>0345391810</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.997455</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>0.002545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25244</th>\n",
       "      <td>251140</td>\n",
       "      <td>0671534734</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.996327</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>48</td>\n",
       "      <td>35</td>\n",
       "      <td>0.003673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25891</th>\n",
       "      <td>91184</td>\n",
       "      <td>0439136369</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.994891</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>9</td>\n",
       "      <td>91</td>\n",
       "      <td>0.005109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16058</th>\n",
       "      <td>273113</td>\n",
       "      <td>0373270976</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.993634</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>43</td>\n",
       "      <td>30</td>\n",
       "      <td>0.006366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15630</th>\n",
       "      <td>267635</td>\n",
       "      <td>0446606383</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.010606</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>30</td>\n",
       "      <td>37</td>\n",
       "      <td>0.010606</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          uid         iid  rui       est                    details   Iu   Ui  \\\n",
       "13330  129851  0971880107  1.0  1.000000  {'was_impossible': False}   37  636   \n",
       "3336    40943  0312288115  1.0  1.000000  {'was_impossible': False}  124   32   \n",
       "26997   41667  0971880107  1.0  1.000000  {'was_impossible': False}    9  636   \n",
       "23682  233911  0345427637  1.0  1.000000  {'was_impossible': False}   44   76   \n",
       "19655  170595  0425178765  1.0  1.000000  {'was_impossible': False}   21   62   \n",
       "30495  177432  0345391810  7.0  6.997455  {'was_impossible': False}   50   26   \n",
       "25244  251140  0671534734  4.0  3.996327  {'was_impossible': False}   48   35   \n",
       "25891   91184  0439136369  5.0  4.994891  {'was_impossible': False}    9   91   \n",
       "16058  273113  0373270976  5.0  4.993634  {'was_impossible': False}   43   30   \n",
       "15630  267635  0446606383  3.0  3.010606  {'was_impossible': False}   30   37   \n",
       "\n",
       "            err  \n",
       "13330  0.000000  \n",
       "3336   0.000000  \n",
       "26997  0.000000  \n",
       "23682  0.000000  \n",
       "19655  0.000000  \n",
       "30495  0.002545  \n",
       "25244  0.003673  \n",
       "25891  0.005109  \n",
       "16058  0.006366  \n",
       "15630  0.010606  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uid</th>\n",
       "      <th>iid</th>\n",
       "      <th>rui</th>\n",
       "      <th>est</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23622</th>\n",
       "      <td>69232</td>\n",
       "      <td>051513287X</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>145</td>\n",
       "      <td>114</td>\n",
       "      <td>9.000000</td>\n",
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       "    <tr>\n",
       "      <th>24185</th>\n",
       "      <td>130474</td>\n",
       "      <td>0399149392</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>188</td>\n",
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       "    <tr>\n",
       "      <th>6665</th>\n",
       "      <td>172742</td>\n",
       "      <td>0743225406</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>191</td>\n",
       "      <td>76</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19998</th>\n",
       "      <td>117594</td>\n",
       "      <td>0553099558</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>48</td>\n",
       "      <td>33</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30822</th>\n",
       "      <td>277427</td>\n",
       "      <td>0451203593</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>114</td>\n",
       "      <td>28</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3564</th>\n",
       "      <td>43842</td>\n",
       "      <td>0345438825</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>188</td>\n",
       "      <td>29</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12658</th>\n",
       "      <td>204964</td>\n",
       "      <td>0441478123</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>17</td>\n",
       "      <td>28</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8793</th>\n",
       "      <td>69697</td>\n",
       "      <td>0425181464</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>146</td>\n",
       "      <td>47</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15365</th>\n",
       "      <td>31826</td>\n",
       "      <td>043935806X</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.736661</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>79</td>\n",
       "      <td>160</td>\n",
       "      <td>9.736661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>31826</td>\n",
       "      <td>0590353403</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>{'was_impossible': False}</td>\n",
       "      <td>79</td>\n",
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       "      <td>10.000000</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          uid         iid   rui        est                    details   Iu  \\\n",
       "23622   69232  051513287X  10.0   1.000000  {'was_impossible': False}  145   \n",
       "24185  130474  0399149392  10.0   1.000000  {'was_impossible': False}  188   \n",
       "6665   172742  0743225406  10.0   1.000000  {'was_impossible': False}  191   \n",
       "19998  117594  0553099558  10.0   1.000000  {'was_impossible': False}   48   \n",
       "30822  277427  0451203593  10.0   1.000000  {'was_impossible': False}  114   \n",
       "3564    43842  0345438825  10.0   1.000000  {'was_impossible': False}  188   \n",
       "12658  204964  0441478123  10.0   1.000000  {'was_impossible': False}   17   \n",
       "8793    69697  0425181464  10.0   1.000000  {'was_impossible': False}  146   \n",
       "15365   31826  043935806X   0.0   9.736661  {'was_impossible': False}   79   \n",
       "235     31826  0590353403   0.0  10.000000  {'was_impossible': False}   79   \n",
       "\n",
       "        Ui        err  \n",
       "23622  114   9.000000  \n",
       "24185   24   9.000000  \n",
       "6665    76   9.000000  \n",
       "19998   33   9.000000  \n",
       "30822   28   9.000000  \n",
       "3564    29   9.000000  \n",
       "12658   28   9.000000  \n",
       "8793    47   9.000000  \n",
       "15365  160   9.736661  \n",
       "235     75  10.000000  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "worst_predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Qué está pasando con esos casos?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    102.000000\n",
       "mean       6.460784\n",
       "std        4.251200\n",
       "min        0.000000\n",
       "25%        0.000000\n",
       "50%        8.000000\n",
       "75%       10.000000\n",
       "max       10.000000\n",
       "Name: bookRating, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "book = '0590353403'\n",
    "df_new.loc[df_new['ISBN'] == book]['bookRating'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_new.loc[df_new['ISBN'] == book]['bookRating'].hist()\n",
    "plt.xlabel('rating')\n",
    "plt.ylabel('Number of ratings')\n",
    "plt.title('Number of ratings book ISBN 055358264X has received')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ejemplo extraído de [acá](https://github.com/susanli2016/Machine-Learning-with-Python/blob/master/Building%20Recommender%20System%20with%20Surprise.ipynb)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Referencias:\n",
    "\n",
    "- [Documentación de Surprise](https://surpriselib.com/)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "data_science",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}