diff --git a/P0. Data preparation.ipynb b/P0. Data preparation.ipynb
index 63b0137..c87a932 100644
--- a/P0. Data preparation.ipynb	
+++ b/P0. Data preparation.ipynb	
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -134,7 +134,7 @@
        "4   166   346       1  886397596"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -152,7 +152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -181,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -265,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -280,7 +280,7 @@
        "Name: user, dtype: float64"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -298,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -309,7 +309,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -336,7 +336,7 @@
        " 18: 'Western'}"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -356,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -500,7 +500,7 @@
        "[3 rows x 24 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -511,7 +511,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -521,7 +521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -530,7 +530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -540,7 +540,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -613,7 +613,7 @@
        "4   5     Copycat (1995)         Crime, Drama, Thriller"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -632,7 +632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -642,7 +642,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/P1. Baseline.ipynb b/P1. Baseline.ipynb
index 5e073cf..889bc05 100644
--- a/P1. Baseline.ipynb	
+++ b/P1. Baseline.ipynb	
@@ -307,7 +307,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1.1 µs ± 63.6 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)\n",
+      "885 ns ± 165 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)\n",
       "Inefficient way to access items rated by user:\n"
      ]
     },
@@ -325,7 +325,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "149 µs ± 13.2 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
+      "153 µs ± 9.4 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
      ]
     }
    ],
@@ -1200,14 +1200,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "RMSE: 1.5133\n",
-      "MAE:  1.2143\n"
+      "RMSE: 1.5317\n",
+      "MAE:  1.2304\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "1.2143089419556985"
+       "1.2303840461147084"
       ]
      },
      "execution_count": 25,
diff --git a/P2. Evaluation.ipynb b/P2. Evaluation.ipynb
index 3caa717..6962e33 100644
--- a/P2. Evaluation.ipynb	
+++ b/P2. Evaluation.ipynb	
@@ -273,7 +273,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 7647.02it/s]\n"
+      "943it [00:00, 7666.87it/s]\n"
      ]
     },
     {
@@ -477,7 +477,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 7829.39it/s]\n"
+      "943it [00:00, 7370.69it/s]\n"
      ]
     },
     {
@@ -585,23 +585,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 7954.38it/s]\n",
-      "943it [00:00, 4698.62it/s]\n",
-      "943it [00:00, 5104.10it/s]\n",
-      "943it [00:00, 4853.27it/s]\n",
-      "943it [00:00, 4669.78it/s]\n",
-      "943it [00:00, 4207.34it/s]\n",
-      "943it [00:00, 5248.26it/s]\n",
-      "943it [00:00, 4477.59it/s]\n",
-      "943it [00:00, 4280.31it/s]\n",
-      "943it [00:00, 3915.20it/s]\n",
-      "943it [00:00, 4648.51it/s]\n",
-      "943it [00:00, 3819.45it/s]\n",
-      "943it [00:00, 4405.24it/s]\n",
-      "943it [00:00, 4725.10it/s]\n",
-      "943it [00:00, 4426.18it/s]\n",
-      "943it [00:00, 4179.78it/s]\n",
-      "943it [00:00, 4919.92it/s]\n"
+      "943it [00:00, 7772.74it/s]\n",
+      "943it [00:00, 5607.69it/s]\n",
+      "943it [00:00, 4737.64it/s]\n",
+      "943it [00:00, 4986.41it/s]\n",
+      "943it [00:00, 3513.77it/s]\n"
      ]
     }
    ],
@@ -658,54 +646,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_LightFM</td>\n",
-       "      <td>162.703697</td>\n",
-       "      <td>160.837311</td>\n",
-       "      <td>0.349523</td>\n",
-       "      <td>0.226193</td>\n",
-       "      <td>0.225202</td>\n",
-       "      <td>0.265538</td>\n",
-       "      <td>0.246459</td>\n",
-       "      <td>0.266934</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_LightFMpureMF</td>\n",
-       "      <td>8.015665</td>\n",
-       "      <td>7.520402</td>\n",
-       "      <td>0.333934</td>\n",
-       "      <td>0.216047</td>\n",
-       "      <td>0.214731</td>\n",
-       "      <td>0.253177</td>\n",
-       "      <td>0.232725</td>\n",
-       "      <td>0.254485</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_P3</td>\n",
-       "      <td>3.702446</td>\n",
-       "      <td>3.527273</td>\n",
-       "      <td>0.282185</td>\n",
-       "      <td>0.192092</td>\n",
-       "      <td>0.186749</td>\n",
-       "      <td>0.216980</td>\n",
-       "      <td>0.204185</td>\n",
-       "      <td>0.240096</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_ImplicitALS</td>\n",
-       "      <td>3.267237</td>\n",
-       "      <td>3.068493</td>\n",
-       "      <td>0.252068</td>\n",
-       "      <td>0.182639</td>\n",
-       "      <td>0.175182</td>\n",
-       "      <td>0.199457</td>\n",
-       "      <td>0.167167</td>\n",
-       "      <td>0.216308</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>2.508258</td>\n",
        "      <td>2.217909</td>\n",
@@ -718,42 +658,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_LightFMcontent</td>\n",
-       "      <td>182.840876</td>\n",
-       "      <td>180.771141</td>\n",
-       "      <td>0.161294</td>\n",
-       "      <td>0.100424</td>\n",
-       "      <td>0.101736</td>\n",
-       "      <td>0.121096</td>\n",
-       "      <td>0.101395</td>\n",
-       "      <td>0.110660</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.953076</td>\n",
-       "      <td>0.750219</td>\n",
-       "      <td>0.094804</td>\n",
-       "      <td>0.045302</td>\n",
-       "      <td>0.051519</td>\n",
-       "      <td>0.065833</td>\n",
-       "      <td>0.083691</td>\n",
-       "      <td>0.074336</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVD</td>\n",
-       "      <td>0.913840</td>\n",
-       "      <td>0.717167</td>\n",
-       "      <td>0.105620</td>\n",
-       "      <td>0.044070</td>\n",
-       "      <td>0.053839</td>\n",
-       "      <td>0.071381</td>\n",
-       "      <td>0.096030</td>\n",
-       "      <td>0.074982</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_Baseline</td>\n",
        "      <td>0.949459</td>\n",
        "      <td>0.752487</td>\n",
@@ -766,18 +670,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.941830</td>\n",
-       "      <td>0.742841</td>\n",
-       "      <td>0.083033</td>\n",
-       "      <td>0.034867</td>\n",
-       "      <td>0.041967</td>\n",
-       "      <td>0.055644</td>\n",
-       "      <td>0.072425</td>\n",
-       "      <td>0.054271</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>1.125760</td>\n",
        "      <td>0.943534</td>\n",
@@ -791,50 +683,14 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.513348</td>\n",
-       "      <td>1.214309</td>\n",
-       "      <td>0.044221</td>\n",
-       "      <td>0.019366</td>\n",
-       "      <td>0.022599</td>\n",
-       "      <td>0.029593</td>\n",
-       "      <td>0.026288</td>\n",
-       "      <td>0.018226</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNN</td>\n",
-       "      <td>1.030386</td>\n",
-       "      <td>0.813067</td>\n",
-       "      <td>0.026087</td>\n",
-       "      <td>0.006908</td>\n",
-       "      <td>0.010593</td>\n",
-       "      <td>0.016046</td>\n",
-       "      <td>0.021137</td>\n",
-       "      <td>0.009522</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNN</td>\n",
-       "      <td>1.023495</td>\n",
-       "      <td>0.807913</td>\n",
-       "      <td>0.000742</td>\n",
-       "      <td>0.000205</td>\n",
-       "      <td>0.000305</td>\n",
-       "      <td>0.000449</td>\n",
-       "      <td>0.000536</td>\n",
-       "      <td>0.000198</td>\n",
+       "      <td>1.531724</td>\n",
+       "      <td>1.230384</td>\n",
+       "      <td>0.049417</td>\n",
+       "      <td>0.022558</td>\n",
+       "      <td>0.025490</td>\n",
+       "      <td>0.033242</td>\n",
+       "      <td>0.030365</td>\n",
+       "      <td>0.022626</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -848,60 +704,24 @@
        "      <td>0.000644</td>\n",
        "      <td>0.000189</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_IKNN</td>\n",
-       "      <td>1.018363</td>\n",
-       "      <td>0.808793</td>\n",
-       "      <td>0.000318</td>\n",
-       "      <td>0.000108</td>\n",
-       "      <td>0.000140</td>\n",
-       "      <td>0.000189</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  Model        RMSE         MAE  precision    recall  \\\n",
-       "0         Ready_LightFM  162.703697  160.837311   0.349523  0.226193   \n",
-       "0   Ready_LightFMpureMF    8.015665    7.520402   0.333934  0.216047   \n",
-       "0               Self_P3    3.702446    3.527273   0.282185  0.192092   \n",
-       "0     Ready_ImplicitALS    3.267237    3.068493   0.252068  0.182639   \n",
-       "0           Self_TopPop    2.508258    2.217909   0.188865  0.116919   \n",
-       "0  Ready_LightFMcontent  182.840876  180.771141   0.161294  0.100424   \n",
-       "0             Ready_SVD    0.953076    0.750219   0.094804  0.045302   \n",
-       "0              Self_SVD    0.913840    0.717167   0.105620  0.044070   \n",
-       "0        Ready_Baseline    0.949459    0.752487   0.091410  0.037652   \n",
-       "0       Ready_SVDBiased    0.941830    0.742841   0.083033  0.034867   \n",
-       "0        Self_GlobalAvg    1.125760    0.943534   0.061188  0.025968   \n",
-       "0          Ready_Random    1.513348    1.214309   0.044221  0.019366   \n",
-       "0           Ready_I-KNN    1.030386    0.813067   0.026087  0.006908   \n",
-       "0   Ready_I-KNNBaseline    0.935327    0.737424   0.002545  0.000755   \n",
-       "0           Ready_U-KNN    1.023495    0.807913   0.000742  0.000205   \n",
-       "0       Self_BaselineUI    0.967585    0.762740   0.000954  0.000170   \n",
-       "0             Self_IKNN    1.018363    0.808793   0.000318  0.000108   \n",
+       "             Model      RMSE       MAE  precision    recall       F_1  \\\n",
+       "0      Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
+       "0   Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
+       "0   Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
+       "0     Ready_Random  1.531724  1.230384   0.049417  0.022558  0.025490   \n",
+       "0  Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
        "\n",
-       "        F_1      F_05  precision_super  recall_super  \n",
-       "0  0.225202  0.265538         0.246459      0.266934  \n",
-       "0  0.214731  0.253177         0.232725      0.254485  \n",
-       "0  0.186749  0.216980         0.204185      0.240096  \n",
-       "0  0.175182  0.199457         0.167167      0.216308  \n",
-       "0  0.118732  0.141584         0.130472      0.137473  \n",
-       "0  0.101736  0.121096         0.101395      0.110660  \n",
-       "0  0.051519  0.065833         0.083691      0.074336  \n",
-       "0  0.053839  0.071381         0.096030      0.074982  \n",
-       "0  0.046030  0.061286         0.079614      0.056463  \n",
-       "0  0.041967  0.055644         0.072425      0.054271  \n",
-       "0  0.031383  0.041343         0.040558      0.032107  \n",
-       "0  0.022599  0.029593         0.026288      0.018226  \n",
-       "0  0.010593  0.016046         0.021137      0.009522  \n",
-       "0  0.001105  0.001602         0.002253      0.000930  \n",
-       "0  0.000305  0.000449         0.000536      0.000198  \n",
-       "0  0.000278  0.000463         0.000644      0.000189  \n",
-       "0  0.000140  0.000189         0.000000      0.000000  "
+       "       F_05  precision_super  recall_super  \n",
+       "0  0.141584         0.130472      0.137473  \n",
+       "0  0.061286         0.079614      0.056463  \n",
+       "0  0.041343         0.040558      0.032107  \n",
+       "0  0.033242         0.030365      0.022626  \n",
+       "0  0.000463         0.000644      0.000189  "
       ]
      },
      "execution_count": 12,
@@ -954,58 +774,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_LightFM</td>\n",
-       "      <td>0.413969</td>\n",
-       "      <td>0.277036</td>\n",
-       "      <td>0.648029</td>\n",
-       "      <td>0.610845</td>\n",
-       "      <td>0.916225</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.352814</td>\n",
-       "      <td>5.363070</td>\n",
-       "      <td>0.885116</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_LightFMpureMF</td>\n",
-       "      <td>0.391316</td>\n",
-       "      <td>0.257793</td>\n",
-       "      <td>0.606204</td>\n",
-       "      <td>0.605708</td>\n",
-       "      <td>0.906681</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.272006</td>\n",
-       "      <td>5.031437</td>\n",
-       "      <td>0.918177</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_P3</td>\n",
-       "      <td>0.339114</td>\n",
-       "      <td>0.204905</td>\n",
-       "      <td>0.572157</td>\n",
-       "      <td>0.593544</td>\n",
-       "      <td>0.875928</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.077201</td>\n",
-       "      <td>3.875892</td>\n",
-       "      <td>0.974947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_ImplicitALS</td>\n",
-       "      <td>0.295331</td>\n",
-       "      <td>0.163847</td>\n",
-       "      <td>0.500282</td>\n",
-       "      <td>0.588672</td>\n",
-       "      <td>0.873807</td>\n",
-       "      <td>0.999894</td>\n",
-       "      <td>0.497835</td>\n",
-       "      <td>5.727745</td>\n",
-       "      <td>0.825683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>0.214651</td>\n",
        "      <td>0.111707</td>\n",
@@ -1019,45 +787,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_LightFMcontent</td>\n",
-       "      <td>0.184311</td>\n",
-       "      <td>0.091346</td>\n",
-       "      <td>0.352019</td>\n",
-       "      <td>0.547187</td>\n",
-       "      <td>0.705196</td>\n",
-       "      <td>0.979533</td>\n",
-       "      <td>0.269120</td>\n",
-       "      <td>4.940084</td>\n",
-       "      <td>0.924146</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.107620</td>\n",
-       "      <td>0.051155</td>\n",
-       "      <td>0.234251</td>\n",
-       "      <td>0.519361</td>\n",
-       "      <td>0.490986</td>\n",
-       "      <td>0.993425</td>\n",
-       "      <td>0.206349</td>\n",
-       "      <td>4.406898</td>\n",
-       "      <td>0.953781</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVD</td>\n",
-       "      <td>0.109138</td>\n",
-       "      <td>0.051857</td>\n",
-       "      <td>0.202054</td>\n",
-       "      <td>0.518772</td>\n",
-       "      <td>0.478261</td>\n",
-       "      <td>0.872959</td>\n",
-       "      <td>0.144300</td>\n",
-       "      <td>3.912577</td>\n",
-       "      <td>0.971609</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_Baseline</td>\n",
        "      <td>0.095957</td>\n",
        "      <td>0.043178</td>\n",
@@ -1071,19 +800,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.090974</td>\n",
-       "      <td>0.041243</td>\n",
-       "      <td>0.195741</td>\n",
-       "      <td>0.514084</td>\n",
-       "      <td>0.418876</td>\n",
-       "      <td>0.998409</td>\n",
-       "      <td>0.168831</td>\n",
-       "      <td>4.152102</td>\n",
-       "      <td>0.964603</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>0.067695</td>\n",
        "      <td>0.027470</td>\n",
@@ -1098,54 +814,15 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>0.047273</td>\n",
-       "      <td>0.017729</td>\n",
-       "      <td>0.114687</td>\n",
-       "      <td>0.506181</td>\n",
-       "      <td>0.301166</td>\n",
-       "      <td>0.986002</td>\n",
-       "      <td>0.184704</td>\n",
-       "      <td>5.093324</td>\n",
-       "      <td>0.907405</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNN</td>\n",
-       "      <td>0.024214</td>\n",
-       "      <td>0.008958</td>\n",
-       "      <td>0.048068</td>\n",
-       "      <td>0.499885</td>\n",
-       "      <td>0.154825</td>\n",
-       "      <td>0.402333</td>\n",
-       "      <td>0.434343</td>\n",
-       "      <td>5.133650</td>\n",
-       "      <td>0.877999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNNBaseline</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNN</td>\n",
-       "      <td>0.000845</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.002744</td>\n",
-       "      <td>0.496441</td>\n",
-       "      <td>0.007423</td>\n",
-       "      <td>0.602121</td>\n",
-       "      <td>0.010823</td>\n",
-       "      <td>2.089186</td>\n",
-       "      <td>0.995706</td>\n",
+       "      <td>0.054166</td>\n",
+       "      <td>0.021656</td>\n",
+       "      <td>0.128378</td>\n",
+       "      <td>0.507802</td>\n",
+       "      <td>0.325557</td>\n",
+       "      <td>0.988865</td>\n",
+       "      <td>0.190476</td>\n",
+       "      <td>5.100033</td>\n",
+       "      <td>0.907724</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -1160,61 +837,24 @@
        "      <td>1.803126</td>\n",
        "      <td>0.996380</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_IKNN</td>\n",
-       "      <td>0.000214</td>\n",
-       "      <td>0.000037</td>\n",
-       "      <td>0.000368</td>\n",
-       "      <td>0.496391</td>\n",
-       "      <td>0.003181</td>\n",
-       "      <td>0.392153</td>\n",
-       "      <td>0.115440</td>\n",
-       "      <td>4.174741</td>\n",
-       "      <td>0.965327</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  Model      NDCG       mAP       MRR      LAUC        HR  \\\n",
-       "0         Ready_LightFM  0.413969  0.277036  0.648029  0.610845  0.916225   \n",
-       "0   Ready_LightFMpureMF  0.391316  0.257793  0.606204  0.605708  0.906681   \n",
-       "0               Self_P3  0.339114  0.204905  0.572157  0.593544  0.875928   \n",
-       "0     Ready_ImplicitALS  0.295331  0.163847  0.500282  0.588672  0.873807   \n",
-       "0           Self_TopPop  0.214651  0.111707  0.400939  0.555546  0.765642   \n",
-       "0  Ready_LightFMcontent  0.184311  0.091346  0.352019  0.547187  0.705196   \n",
-       "0             Ready_SVD  0.107620  0.051155  0.234251  0.519361  0.490986   \n",
-       "0              Self_SVD  0.109138  0.051857  0.202054  0.518772  0.478261   \n",
-       "0        Ready_Baseline  0.095957  0.043178  0.198193  0.515501  0.437964   \n",
-       "0       Ready_SVDBiased  0.090974  0.041243  0.195741  0.514084  0.418876   \n",
-       "0        Self_GlobalAvg  0.067695  0.027470  0.171187  0.509546  0.384942   \n",
-       "0          Ready_Random  0.047273  0.017729  0.114687  0.506181  0.301166   \n",
-       "0           Ready_I-KNN  0.024214  0.008958  0.048068  0.499885  0.154825   \n",
-       "0   Ready_I-KNNBaseline  0.003444  0.001362  0.011760  0.496724  0.021209   \n",
-       "0           Ready_U-KNN  0.000845  0.000274  0.002744  0.496441  0.007423   \n",
-       "0       Self_BaselineUI  0.000752  0.000168  0.001677  0.496424  0.009544   \n",
-       "0             Self_IKNN  0.000214  0.000037  0.000368  0.496391  0.003181   \n",
+       "             Model      NDCG       mAP       MRR      LAUC        HR  \\\n",
+       "0      Self_TopPop  0.214651  0.111707  0.400939  0.555546  0.765642   \n",
+       "0   Ready_Baseline  0.095957  0.043178  0.198193  0.515501  0.437964   \n",
+       "0   Self_GlobalAvg  0.067695  0.027470  0.171187  0.509546  0.384942   \n",
+       "0     Ready_Random  0.054166  0.021656  0.128378  0.507802  0.325557   \n",
+       "0  Self_BaselineUI  0.000752  0.000168  0.001677  0.496424  0.009544   \n",
        "\n",
        "   Reco in test  Test coverage   Shannon      Gini  \n",
-       "0      1.000000       0.352814  5.363070  0.885116  \n",
-       "0      1.000000       0.272006  5.031437  0.918177  \n",
-       "0      1.000000       0.077201  3.875892  0.974947  \n",
-       "0      0.999894       0.497835  5.727745  0.825683  \n",
        "0      1.000000       0.038961  3.159079  0.987317  \n",
-       "0      0.979533       0.269120  4.940084  0.924146  \n",
-       "0      0.993425       0.206349  4.406898  0.953781  \n",
-       "0      0.872959       0.144300  3.912577  0.971609  \n",
        "0      1.000000       0.033911  2.836513  0.991139  \n",
-       "0      0.998409       0.168831  4.152102  0.964603  \n",
        "0      1.000000       0.025974  2.711772  0.992003  \n",
-       "0      0.986002       0.184704  5.093324  0.907405  \n",
-       "0      0.402333       0.434343  5.133650  0.877999  \n",
-       "0      0.482821       0.059885  2.232578  0.994487  \n",
-       "0      0.602121       0.010823  2.089186  0.995706  \n",
-       "0      0.600530       0.005051  1.803126  0.996380  \n",
-       "0      0.392153       0.115440  4.174741  0.965327  "
+       "0      0.988865       0.190476  5.100033  0.907724  \n",
+       "0      0.600530       0.005051  1.803126  0.996380  "
       ]
      },
      "execution_count": 13,
@@ -1242,7 +882,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "3it [00:00, 4233.82it/s]\n"
+      "3it [00:00, 1941.81it/s]\n"
      ]
     },
     {
@@ -1558,258 +1198,6 @@
     "display(estimations)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# A/B testing"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Suppose we had\n",
-    "A_successes=1000\n",
-    "A_failures=9000\n",
-    "\n",
-    "B_successes=1500\n",
-    "B_failures=12000"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Confidence intervals"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "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>successes</th>\n",
-       "      <th>failures</th>\n",
-       "      <th>conversion</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>A</th>\n",
-       "      <td>1000</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0.4000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>B</th>\n",
-       "      <td>9000</td>\n",
-       "      <td>12000</td>\n",
-       "      <td>0.4286</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   successes  failures  conversion\n",
-       "A       1000      1500      0.4000\n",
-       "B       9000     12000      0.4286"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df=pd.DataFrame({'successes': [A_successes, A_failures],'failures': [B_successes,B_failures]}, index=['A','B'])\n",
-    "df['conversion']=df.apply(lambda x: round(x['successes']/(x['successes']+x['failures']),4), axis=1)\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "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>successes</th>\n",
-       "      <th>failures</th>\n",
-       "      <th>conversion</th>\n",
-       "      <th>conf_interval</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>A</th>\n",
-       "      <td>1000</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0.4000</td>\n",
-       "      <td>[0.3808, 0.4194]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>B</th>\n",
-       "      <td>9000</td>\n",
-       "      <td>12000</td>\n",
-       "      <td>0.4286</td>\n",
-       "      <td>[0.4219, 0.4353]</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   successes  failures  conversion     conf_interval\n",
-       "A       1000      1500      0.4000  [0.3808, 0.4194]\n",
-       "B       9000     12000      0.4286  [0.4219, 0.4353]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "significance=0.95\n",
-    "\n",
-    "from statsmodels.stats.proportion import proportion_confint\n",
-    "df['conf_interval']=df.apply(lambda x: [round(i,4) for i in proportion_confint(count=x['successes'], nobs=x['successes']+x['failures'], alpha=1-significance, method='binom_test')], axis=1)\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "p-value: 0.006729080907452261\n"
-     ]
-    }
-   ],
-   "source": [
-    "from scipy.stats import chi2_contingency\n",
-    "cond = np.array([[A_successes, A_failures], [B_successes, B_failures]])\n",
-    "print(f'p-value: {chi2_contingency(cond)[1]}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### How many observations do we need? Power analysis "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Effect size: 0.02041241452319317\n",
-      "Samples needed: 18837\n"
-     ]
-    }
-   ],
-   "source": [
-    "# sample size calculator: https://www.evanmiller.org/ab-testing/sample-size.html \n",
-    "# for now let's assume conversion from control group is known\n",
-    "\n",
-    "from statsmodels.stats.power import GofChisquarePower\n",
-    "from statsmodels.stats.gof import chisquare_effectsize\n",
-    "\n",
-    "effect_size=chisquare_effectsize([df['conversion']['A'], 1-df['conversion']['A']], \n",
-    "                                                       [df['conversion']['A']+0.01, 1-df['conversion']['A']-0.01])\n",
-    "print(f'Effect size: {effect_size}')\n",
-    "print(f'Samples needed: {round(GofChisquarePower().solve_power(effect_size, power=.8, n_bins=2, alpha=0.05))}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Effect size: 0.07001400420140048\n",
-      "Samples needed: 1601\n"
-     ]
-    }
-   ],
-   "source": [
-    "# for now let's assume conversion from control group is known\n",
-    "# it's not correct looking at https://www.evanmiller.org/ab-testing/sample-size.html\n",
-    "from statsmodels.stats.power import GofChisquarePower\n",
-    "from statsmodels.stats.gof import chisquare_effectsize\n",
-    "n_levels_variable_a = 1 # to verify\n",
-    "n_levels_variable_b = 2\n",
-    "\n",
-    "effect_size=chisquare_effectsize([0.15, 0.85], [0.125,0.875])\n",
-    "print(f'Effect size: {effect_size}')\n",
-    "print(f'Samples needed: {round(GofChisquarePower().solve_power(effect_size, power=.8, n_bins=(n_levels_variable_a)*(n_levels_variable_b), alpha=0.05))}')"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1819,7 +1207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1858,148 +1246,148 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>41281</th>\n",
-       "      <td>437</td>\n",
+       "      <th>2985</th>\n",
+       "      <td>789</td>\n",
        "      <td>5</td>\n",
-       "      <td>Gone with the Wind (1939)</td>\n",
-       "      <td>Drama, Romance, War</td>\n",
+       "      <td>Star Wars (1977)</td>\n",
+       "      <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28880</th>\n",
-       "      <td>437</td>\n",
+       "      <th>25980</th>\n",
+       "      <td>789</td>\n",
        "      <td>5</td>\n",
-       "      <td>Pinocchio (1940)</td>\n",
-       "      <td>Animation, Children's</td>\n",
+       "      <td>Dead Man Walking (1995)</td>\n",
+       "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>36888</th>\n",
-       "      <td>437</td>\n",
+       "      <th>9357</th>\n",
+       "      <td>789</td>\n",
        "      <td>5</td>\n",
-       "      <td>Backbeat (1993)</td>\n",
-       "      <td>Drama, Musical</td>\n",
+       "      <td>Last Supper, The (1995)</td>\n",
+       "      <td>Drama, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>36713</th>\n",
-       "      <td>437</td>\n",
+       "      <th>17306</th>\n",
+       "      <td>789</td>\n",
        "      <td>5</td>\n",
+       "      <td>Leaving Las Vegas (1995)</td>\n",
+       "      <td>Drama, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36474</th>\n",
+       "      <td>789</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Swingers (1996)</td>\n",
+       "      <td>Comedy, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65139</th>\n",
+       "      <td>789</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Welcome to the Dollhouse (1995)</td>\n",
+       "      <td>Comedy, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61975</th>\n",
+       "      <td>789</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Private Parts (1997)</td>\n",
+       "      <td>Comedy, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56522</th>\n",
+       "      <td>789</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Waiting for Guffman (1996)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41414</th>\n",
+       "      <td>789</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Donnie Brasco (1997)</td>\n",
+       "      <td>Crime, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36617</th>\n",
+       "      <td>789</td>\n",
+       "      <td>4</td>\n",
        "      <td>Lone Star (1996)</td>\n",
        "      <td>Drama, Mystery</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>36122</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Silence of the Lambs, The (1991)</td>\n",
-       "      <td>Drama, Thriller</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32783</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Muriel's Wedding (1994)</td>\n",
-       "      <td>Comedy, Romance</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30950</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Rosewood (1997)</td>\n",
+       "      <th>24501</th>\n",
+       "      <td>789</td>\n",
+       "      <td>4</td>\n",
+       "      <td>People vs. Larry Flynt, The (1996)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30386</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Manchurian Candidate, The (1962)</td>\n",
-       "      <td>Film-Noir, Thriller</td>\n",
+       "      <th>20210</th>\n",
+       "      <td>789</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Return of the Jedi (1983)</td>\n",
+       "      <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29411</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Psycho (1960)</td>\n",
-       "      <td>Horror, Romance, Thriller</td>\n",
+       "      <th>8230</th>\n",
+       "      <td>789</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Beautiful Girls (1996)</td>\n",
+       "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>27655</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Vertigo (1958)</td>\n",
-       "      <td>Mystery, Thriller</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14735</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Raising Arizona (1987)</td>\n",
+       "      <th>19781</th>\n",
+       "      <td>789</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Liar Liar (1997)</td>\n",
        "      <td>Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>27563</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Young Frankenstein (1974)</td>\n",
-       "      <td>Comedy, Horror</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26524</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Everyone Says I Love You (1996)</td>\n",
-       "      <td>Comedy, Musical, Romance</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25618</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Citizen Kane (1941)</td>\n",
-       "      <td>Drama</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23714</th>\n",
-       "      <td>437</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Casablanca (1942)</td>\n",
-       "      <td>Drama, Romance, War</td>\n",
+       "      <th>39387</th>\n",
+       "      <td>789</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Sleepers (1996)</td>\n",
+       "      <td>Crime, Drama</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "       user  rating                             title  \\\n",
-       "41281   437       5         Gone with the Wind (1939)   \n",
-       "28880   437       5                  Pinocchio (1940)   \n",
-       "36888   437       5                   Backbeat (1993)   \n",
-       "36713   437       5                  Lone Star (1996)   \n",
-       "36122   437       5  Silence of the Lambs, The (1991)   \n",
-       "32783   437       5           Muriel's Wedding (1994)   \n",
-       "30950   437       5                   Rosewood (1997)   \n",
-       "30386   437       5  Manchurian Candidate, The (1962)   \n",
-       "29411   437       5                     Psycho (1960)   \n",
-       "27655   437       5                    Vertigo (1958)   \n",
-       "14735   437       5            Raising Arizona (1987)   \n",
-       "27563   437       5         Young Frankenstein (1974)   \n",
-       "26524   437       5   Everyone Says I Love You (1996)   \n",
-       "25618   437       5               Citizen Kane (1941)   \n",
-       "23714   437       5                 Casablanca (1942)   \n",
+       "       user  rating                               title  \\\n",
+       "2985    789       5                    Star Wars (1977)   \n",
+       "25980   789       5             Dead Man Walking (1995)   \n",
+       "9357    789       5             Last Supper, The (1995)   \n",
+       "17306   789       5            Leaving Las Vegas (1995)   \n",
+       "36474   789       5                     Swingers (1996)   \n",
+       "65139   789       4     Welcome to the Dollhouse (1995)   \n",
+       "61975   789       4                Private Parts (1997)   \n",
+       "56522   789       4          Waiting for Guffman (1996)   \n",
+       "41414   789       4                Donnie Brasco (1997)   \n",
+       "36617   789       4                    Lone Star (1996)   \n",
+       "24501   789       4  People vs. Larry Flynt, The (1996)   \n",
+       "20210   789       4           Return of the Jedi (1983)   \n",
+       "8230    789       3              Beautiful Girls (1996)   \n",
+       "19781   789       3                    Liar Liar (1997)   \n",
+       "39387   789       3                     Sleepers (1996)   \n",
        "\n",
-       "                          genres  \n",
-       "41281        Drama, Romance, War  \n",
-       "28880      Animation, Children's  \n",
-       "36888             Drama, Musical  \n",
-       "36713             Drama, Mystery  \n",
-       "36122            Drama, Thriller  \n",
-       "32783            Comedy, Romance  \n",
-       "30950                      Drama  \n",
-       "30386        Film-Noir, Thriller  \n",
-       "29411  Horror, Romance, Thriller  \n",
-       "27655          Mystery, Thriller  \n",
-       "14735                     Comedy  \n",
-       "27563             Comedy, Horror  \n",
-       "26524   Comedy, Musical, Romance  \n",
-       "25618                      Drama  \n",
-       "23714        Drama, Romance, War  "
+       "                                        genres  \n",
+       "2985   Action, Adventure, Romance, Sci-Fi, War  \n",
+       "25980                                    Drama  \n",
+       "9357                           Drama, Thriller  \n",
+       "17306                           Drama, Romance  \n",
+       "36474                            Comedy, Drama  \n",
+       "65139                            Comedy, Drama  \n",
+       "61975                            Comedy, Drama  \n",
+       "56522                                   Comedy  \n",
+       "41414                             Crime, Drama  \n",
+       "36617                           Drama, Mystery  \n",
+       "24501                                    Drama  \n",
+       "20210  Action, Adventure, Romance, Sci-Fi, War  \n",
+       "8230                                     Drama  \n",
+       "19781                                   Comedy  \n",
+       "39387                             Crime, Drama  "
       ]
      },
      "metadata": {},
@@ -2041,106 +1429,106 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>435</th>\n",
-       "      <td>437.0</td>\n",
+       "      <th>787</th>\n",
+       "      <td>789.0</td>\n",
        "      <td>1</td>\n",
        "      <td>Great Day in Harlem, A (1994)</td>\n",
        "      <td>Documentary</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1377</th>\n",
-       "      <td>437.0</td>\n",
+       "      <th>1729</th>\n",
+       "      <td>789.0</td>\n",
        "      <td>2</td>\n",
        "      <td>Tough and Deadly (1995)</td>\n",
        "      <td>Action, Drama, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2319</th>\n",
-       "      <td>437.0</td>\n",
+       "      <th>2671</th>\n",
+       "      <td>789.0</td>\n",
        "      <td>3</td>\n",
        "      <td>Aiqing wansui (1994)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3261</th>\n",
-       "      <td>437.0</td>\n",
+       "      <th>3613</th>\n",
+       "      <td>789.0</td>\n",
        "      <td>4</td>\n",
        "      <td>Delta of Venus (1994)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5145</th>\n",
-       "      <td>437.0</td>\n",
+       "      <th>4555</th>\n",
+       "      <td>789.0</td>\n",
        "      <td>5</td>\n",
+       "      <td>Someone Else's America (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5497</th>\n",
+       "      <td>789.0</td>\n",
+       "      <td>6</td>\n",
        "      <td>Saint of Fort Washington, The (1993)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6087</th>\n",
-       "      <td>437.0</td>\n",
-       "      <td>6</td>\n",
+       "      <th>6439</th>\n",
+       "      <td>789.0</td>\n",
+       "      <td>7</td>\n",
        "      <td>Celestial Clockwork (1994)</td>\n",
        "      <td>Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7030</th>\n",
-       "      <td>437.0</td>\n",
-       "      <td>7</td>\n",
+       "      <th>7380</th>\n",
+       "      <td>789.0</td>\n",
+       "      <td>8</td>\n",
        "      <td>Some Mother's Son (1996)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8924</th>\n",
-       "      <td>437.0</td>\n",
-       "      <td>8</td>\n",
+       "      <th>9276</th>\n",
+       "      <td>789.0</td>\n",
+       "      <td>9</td>\n",
        "      <td>Maya Lin: A Strong Clear Vision (1994)</td>\n",
        "      <td>Documentary</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7970</th>\n",
-       "      <td>437.0</td>\n",
-       "      <td>9</td>\n",
+       "      <th>8322</th>\n",
+       "      <td>789.0</td>\n",
+       "      <td>10</td>\n",
        "      <td>Prefontaine (1997)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8485</th>\n",
-       "      <td>437.0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>Santa with Muscles (1996)</td>\n",
-       "      <td>Comedy</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "       user  rec_nb                                   title  \\\n",
-       "435   437.0       1           Great Day in Harlem, A (1994)   \n",
-       "1377  437.0       2                 Tough and Deadly (1995)   \n",
-       "2319  437.0       3                    Aiqing wansui (1994)   \n",
-       "3261  437.0       4                   Delta of Venus (1994)   \n",
-       "5145  437.0       5    Saint of Fort Washington, The (1993)   \n",
-       "6087  437.0       6              Celestial Clockwork (1994)   \n",
-       "7030  437.0       7                Some Mother's Son (1996)   \n",
-       "8924  437.0       8  Maya Lin: A Strong Clear Vision (1994)   \n",
-       "7970  437.0       9                      Prefontaine (1997)   \n",
-       "8485  437.0      10               Santa with Muscles (1996)   \n",
+       "787   789.0       1           Great Day in Harlem, A (1994)   \n",
+       "1729  789.0       2                 Tough and Deadly (1995)   \n",
+       "2671  789.0       3                    Aiqing wansui (1994)   \n",
+       "3613  789.0       4                   Delta of Venus (1994)   \n",
+       "4555  789.0       5           Someone Else's America (1995)   \n",
+       "5497  789.0       6    Saint of Fort Washington, The (1993)   \n",
+       "6439  789.0       7              Celestial Clockwork (1994)   \n",
+       "7380  789.0       8                Some Mother's Son (1996)   \n",
+       "9276  789.0       9  Maya Lin: A Strong Clear Vision (1994)   \n",
+       "8322  789.0      10                      Prefontaine (1997)   \n",
        "\n",
        "                       genres  \n",
-       "435               Documentary  \n",
-       "1377  Action, Drama, Thriller  \n",
-       "2319                    Drama  \n",
-       "3261                    Drama  \n",
-       "5145                    Drama  \n",
-       "6087                   Comedy  \n",
-       "7030                    Drama  \n",
-       "8924              Documentary  \n",
-       "7970                    Drama  \n",
-       "8485                   Comedy  "
+       "787               Documentary  \n",
+       "1729  Action, Drama, Thriller  \n",
+       "2671                    Drama  \n",
+       "3613                    Drama  \n",
+       "4555                    Drama  \n",
+       "5497                    Drama  \n",
+       "6439                   Comedy  \n",
+       "7380                    Drama  \n",
+       "9276              Documentary  \n",
+       "8322                    Drama  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2188,7 +1576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2200,30 +1588,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 5476.88it/s]\n",
-      "943it [00:00, 4421.14it/s]\n",
-      "943it [00:00, 5056.87it/s]\n",
-      "943it [00:00, 5642.22it/s]\n",
-      "943it [00:00, 2776.13it/s]\n",
-      "943it [00:00, 3004.22it/s]\n",
-      "943it [00:00, 3802.86it/s]\n",
-      "943it [00:00, 3421.26it/s]\n",
-      "943it [00:00, 5077.51it/s]\n",
-      "943it [00:00, 4927.51it/s]\n",
-      "943it [00:00, 4246.38it/s]\n",
-      "943it [00:00, 4295.31it/s]\n",
-      "943it [00:00, 4362.79it/s]\n",
-      "943it [00:00, 6241.10it/s]\n",
-      "943it [00:00, 4318.95it/s]\n",
-      "943it [00:00, 5054.75it/s]\n",
-      "943it [00:00, 3839.80it/s]\n"
+      "943it [00:00, 4479.94it/s]\n",
+      "943it [00:00, 4036.40it/s]\n",
+      "943it [00:00, 4598.99it/s]\n",
+      "943it [00:00, 5170.18it/s]\n",
+      "943it [00:00, 4778.23it/s]\n"
      ]
     },
     {
@@ -2270,90 +1646,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_LightFM</td>\n",
-       "      <td>162.703697</td>\n",
-       "      <td>160.837311</td>\n",
-       "      <td>0.349523</td>\n",
-       "      <td>0.226193</td>\n",
-       "      <td>0.225202</td>\n",
-       "      <td>0.265538</td>\n",
-       "      <td>0.246459</td>\n",
-       "      <td>0.266934</td>\n",
-       "      <td>0.413969</td>\n",
-       "      <td>0.277036</td>\n",
-       "      <td>0.648029</td>\n",
-       "      <td>0.610845</td>\n",
-       "      <td>0.916225</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.352814</td>\n",
-       "      <td>5.363070</td>\n",
-       "      <td>0.885116</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_LightFMpureMF</td>\n",
-       "      <td>8.015665</td>\n",
-       "      <td>7.520402</td>\n",
-       "      <td>0.333934</td>\n",
-       "      <td>0.216047</td>\n",
-       "      <td>0.214731</td>\n",
-       "      <td>0.253177</td>\n",
-       "      <td>0.232725</td>\n",
-       "      <td>0.254485</td>\n",
-       "      <td>0.391316</td>\n",
-       "      <td>0.257793</td>\n",
-       "      <td>0.606204</td>\n",
-       "      <td>0.605708</td>\n",
-       "      <td>0.906681</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.272006</td>\n",
-       "      <td>5.031437</td>\n",
-       "      <td>0.918177</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_P3</td>\n",
-       "      <td>3.702446</td>\n",
-       "      <td>3.527273</td>\n",
-       "      <td>0.282185</td>\n",
-       "      <td>0.192092</td>\n",
-       "      <td>0.186749</td>\n",
-       "      <td>0.216980</td>\n",
-       "      <td>0.204185</td>\n",
-       "      <td>0.240096</td>\n",
-       "      <td>0.339114</td>\n",
-       "      <td>0.204905</td>\n",
-       "      <td>0.572157</td>\n",
-       "      <td>0.593544</td>\n",
-       "      <td>0.875928</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.077201</td>\n",
-       "      <td>3.875892</td>\n",
-       "      <td>0.974947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_ImplicitALS</td>\n",
-       "      <td>3.267237</td>\n",
-       "      <td>3.068493</td>\n",
-       "      <td>0.252068</td>\n",
-       "      <td>0.182639</td>\n",
-       "      <td>0.175182</td>\n",
-       "      <td>0.199457</td>\n",
-       "      <td>0.167167</td>\n",
-       "      <td>0.216308</td>\n",
-       "      <td>0.295331</td>\n",
-       "      <td>0.163847</td>\n",
-       "      <td>0.500282</td>\n",
-       "      <td>0.588672</td>\n",
-       "      <td>0.873807</td>\n",
-       "      <td>0.999894</td>\n",
-       "      <td>0.497835</td>\n",
-       "      <td>5.727745</td>\n",
-       "      <td>0.825683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>2.508258</td>\n",
        "      <td>2.217909</td>\n",
@@ -2375,69 +1667,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_LightFMcontent</td>\n",
-       "      <td>182.840876</td>\n",
-       "      <td>180.771141</td>\n",
-       "      <td>0.161294</td>\n",
-       "      <td>0.100424</td>\n",
-       "      <td>0.101736</td>\n",
-       "      <td>0.121096</td>\n",
-       "      <td>0.101395</td>\n",
-       "      <td>0.110660</td>\n",
-       "      <td>0.184311</td>\n",
-       "      <td>0.091346</td>\n",
-       "      <td>0.352019</td>\n",
-       "      <td>0.547187</td>\n",
-       "      <td>0.705196</td>\n",
-       "      <td>0.979533</td>\n",
-       "      <td>0.269120</td>\n",
-       "      <td>4.940084</td>\n",
-       "      <td>0.924146</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.953076</td>\n",
-       "      <td>0.750219</td>\n",
-       "      <td>0.094804</td>\n",
-       "      <td>0.045302</td>\n",
-       "      <td>0.051519</td>\n",
-       "      <td>0.065833</td>\n",
-       "      <td>0.083691</td>\n",
-       "      <td>0.074336</td>\n",
-       "      <td>0.107620</td>\n",
-       "      <td>0.051155</td>\n",
-       "      <td>0.234251</td>\n",
-       "      <td>0.519361</td>\n",
-       "      <td>0.490986</td>\n",
-       "      <td>0.993425</td>\n",
-       "      <td>0.206349</td>\n",
-       "      <td>4.406898</td>\n",
-       "      <td>0.953781</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVD</td>\n",
-       "      <td>0.913840</td>\n",
-       "      <td>0.717167</td>\n",
-       "      <td>0.105620</td>\n",
-       "      <td>0.044070</td>\n",
-       "      <td>0.053839</td>\n",
-       "      <td>0.071381</td>\n",
-       "      <td>0.096030</td>\n",
-       "      <td>0.074982</td>\n",
-       "      <td>0.109138</td>\n",
-       "      <td>0.051857</td>\n",
-       "      <td>0.202054</td>\n",
-       "      <td>0.518772</td>\n",
-       "      <td>0.478261</td>\n",
-       "      <td>0.872959</td>\n",
-       "      <td>0.144300</td>\n",
-       "      <td>3.912577</td>\n",
-       "      <td>0.971609</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_Baseline</td>\n",
        "      <td>0.949459</td>\n",
        "      <td>0.752487</td>\n",
@@ -2459,27 +1688,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.941830</td>\n",
-       "      <td>0.742841</td>\n",
-       "      <td>0.083033</td>\n",
-       "      <td>0.034867</td>\n",
-       "      <td>0.041967</td>\n",
-       "      <td>0.055644</td>\n",
-       "      <td>0.072425</td>\n",
-       "      <td>0.054271</td>\n",
-       "      <td>0.090974</td>\n",
-       "      <td>0.041243</td>\n",
-       "      <td>0.195741</td>\n",
-       "      <td>0.514084</td>\n",
-       "      <td>0.418876</td>\n",
-       "      <td>0.998409</td>\n",
-       "      <td>0.168831</td>\n",
-       "      <td>4.152102</td>\n",
-       "      <td>0.964603</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>1.125760</td>\n",
        "      <td>0.943534</td>\n",
@@ -2502,86 +1710,23 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.513348</td>\n",
-       "      <td>1.214309</td>\n",
-       "      <td>0.044221</td>\n",
-       "      <td>0.019366</td>\n",
-       "      <td>0.022599</td>\n",
-       "      <td>0.029593</td>\n",
-       "      <td>0.026288</td>\n",
-       "      <td>0.018226</td>\n",
-       "      <td>0.047273</td>\n",
-       "      <td>0.017729</td>\n",
-       "      <td>0.114687</td>\n",
-       "      <td>0.506181</td>\n",
-       "      <td>0.301166</td>\n",
-       "      <td>0.986002</td>\n",
-       "      <td>0.184704</td>\n",
-       "      <td>5.093324</td>\n",
-       "      <td>0.907405</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNN</td>\n",
-       "      <td>1.030386</td>\n",
-       "      <td>0.813067</td>\n",
-       "      <td>0.026087</td>\n",
-       "      <td>0.006908</td>\n",
-       "      <td>0.010593</td>\n",
-       "      <td>0.016046</td>\n",
-       "      <td>0.021137</td>\n",
-       "      <td>0.009522</td>\n",
-       "      <td>0.024214</td>\n",
-       "      <td>0.008958</td>\n",
-       "      <td>0.048068</td>\n",
-       "      <td>0.499885</td>\n",
-       "      <td>0.154825</td>\n",
-       "      <td>0.402333</td>\n",
-       "      <td>0.434343</td>\n",
-       "      <td>5.133650</td>\n",
-       "      <td>0.877999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNN</td>\n",
-       "      <td>1.023495</td>\n",
-       "      <td>0.807913</td>\n",
-       "      <td>0.000742</td>\n",
-       "      <td>0.000205</td>\n",
-       "      <td>0.000305</td>\n",
-       "      <td>0.000449</td>\n",
-       "      <td>0.000536</td>\n",
-       "      <td>0.000198</td>\n",
-       "      <td>0.000845</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.002744</td>\n",
-       "      <td>0.496441</td>\n",
-       "      <td>0.007423</td>\n",
-       "      <td>0.602121</td>\n",
-       "      <td>0.010823</td>\n",
-       "      <td>2.089186</td>\n",
-       "      <td>0.995706</td>\n",
+       "      <td>1.531724</td>\n",
+       "      <td>1.230384</td>\n",
+       "      <td>0.049417</td>\n",
+       "      <td>0.022558</td>\n",
+       "      <td>0.025490</td>\n",
+       "      <td>0.033242</td>\n",
+       "      <td>0.030365</td>\n",
+       "      <td>0.022626</td>\n",
+       "      <td>0.054166</td>\n",
+       "      <td>0.021656</td>\n",
+       "      <td>0.128378</td>\n",
+       "      <td>0.507802</td>\n",
+       "      <td>0.325557</td>\n",
+       "      <td>0.988865</td>\n",
+       "      <td>0.190476</td>\n",
+       "      <td>5.100033</td>\n",
+       "      <td>0.907724</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -2604,110 +1749,34 @@
        "      <td>1.803126</td>\n",
        "      <td>0.996380</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_IKNN</td>\n",
-       "      <td>1.018363</td>\n",
-       "      <td>0.808793</td>\n",
-       "      <td>0.000318</td>\n",
-       "      <td>0.000108</td>\n",
-       "      <td>0.000140</td>\n",
-       "      <td>0.000189</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000214</td>\n",
-       "      <td>0.000037</td>\n",
-       "      <td>0.000368</td>\n",
-       "      <td>0.496391</td>\n",
-       "      <td>0.003181</td>\n",
-       "      <td>0.392153</td>\n",
-       "      <td>0.115440</td>\n",
-       "      <td>4.174741</td>\n",
-       "      <td>0.965327</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  Model        RMSE         MAE  precision    recall  \\\n",
-       "0         Ready_LightFM  162.703697  160.837311   0.349523  0.226193   \n",
-       "0   Ready_LightFMpureMF    8.015665    7.520402   0.333934  0.216047   \n",
-       "0               Self_P3    3.702446    3.527273   0.282185  0.192092   \n",
-       "0     Ready_ImplicitALS    3.267237    3.068493   0.252068  0.182639   \n",
-       "0           Self_TopPop    2.508258    2.217909   0.188865  0.116919   \n",
-       "0  Ready_LightFMcontent  182.840876  180.771141   0.161294  0.100424   \n",
-       "0             Ready_SVD    0.953076    0.750219   0.094804  0.045302   \n",
-       "0              Self_SVD    0.913840    0.717167   0.105620  0.044070   \n",
-       "0        Ready_Baseline    0.949459    0.752487   0.091410  0.037652   \n",
-       "0       Ready_SVDBiased    0.941830    0.742841   0.083033  0.034867   \n",
-       "0        Self_GlobalAvg    1.125760    0.943534   0.061188  0.025968   \n",
-       "0          Ready_Random    1.513348    1.214309   0.044221  0.019366   \n",
-       "0           Ready_I-KNN    1.030386    0.813067   0.026087  0.006908   \n",
-       "0   Ready_I-KNNBaseline    0.935327    0.737424   0.002545  0.000755   \n",
-       "0           Ready_U-KNN    1.023495    0.807913   0.000742  0.000205   \n",
-       "0       Self_BaselineUI    0.967585    0.762740   0.000954  0.000170   \n",
-       "0             Self_IKNN    1.018363    0.808793   0.000318  0.000108   \n",
+       "             Model      RMSE       MAE  precision    recall       F_1  \\\n",
+       "0      Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
+       "0   Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
+       "0   Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
+       "0     Ready_Random  1.531724  1.230384   0.049417  0.022558  0.025490   \n",
+       "0  Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
        "\n",
-       "        F_1      F_05  precision_super  recall_super      NDCG       mAP  \\\n",
-       "0  0.225202  0.265538         0.246459      0.266934  0.413969  0.277036   \n",
-       "0  0.214731  0.253177         0.232725      0.254485  0.391316  0.257793   \n",
-       "0  0.186749  0.216980         0.204185      0.240096  0.339114  0.204905   \n",
-       "0  0.175182  0.199457         0.167167      0.216308  0.295331  0.163847   \n",
-       "0  0.118732  0.141584         0.130472      0.137473  0.214651  0.111707   \n",
-       "0  0.101736  0.121096         0.101395      0.110660  0.184311  0.091346   \n",
-       "0  0.051519  0.065833         0.083691      0.074336  0.107620  0.051155   \n",
-       "0  0.053839  0.071381         0.096030      0.074982  0.109138  0.051857   \n",
-       "0  0.046030  0.061286         0.079614      0.056463  0.095957  0.043178   \n",
-       "0  0.041967  0.055644         0.072425      0.054271  0.090974  0.041243   \n",
-       "0  0.031383  0.041343         0.040558      0.032107  0.067695  0.027470   \n",
-       "0  0.022599  0.029593         0.026288      0.018226  0.047273  0.017729   \n",
-       "0  0.010593  0.016046         0.021137      0.009522  0.024214  0.008958   \n",
-       "0  0.001105  0.001602         0.002253      0.000930  0.003444  0.001362   \n",
-       "0  0.000305  0.000449         0.000536      0.000198  0.000845  0.000274   \n",
-       "0  0.000278  0.000463         0.000644      0.000189  0.000752  0.000168   \n",
-       "0  0.000140  0.000189         0.000000      0.000000  0.000214  0.000037   \n",
+       "       F_05  precision_super  recall_super      NDCG       mAP       MRR  \\\n",
+       "0  0.141584         0.130472      0.137473  0.214651  0.111707  0.400939   \n",
+       "0  0.061286         0.079614      0.056463  0.095957  0.043178  0.198193   \n",
+       "0  0.041343         0.040558      0.032107  0.067695  0.027470  0.171187   \n",
+       "0  0.033242         0.030365      0.022626  0.054166  0.021656  0.128378   \n",
+       "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
        "\n",
-       "        MRR      LAUC        HR  Reco in test  Test coverage   Shannon  \\\n",
-       "0  0.648029  0.610845  0.916225      1.000000       0.352814  5.363070   \n",
-       "0  0.606204  0.605708  0.906681      1.000000       0.272006  5.031437   \n",
-       "0  0.572157  0.593544  0.875928      1.000000       0.077201  3.875892   \n",
-       "0  0.500282  0.588672  0.873807      0.999894       0.497835  5.727745   \n",
-       "0  0.400939  0.555546  0.765642      1.000000       0.038961  3.159079   \n",
-       "0  0.352019  0.547187  0.705196      0.979533       0.269120  4.940084   \n",
-       "0  0.234251  0.519361  0.490986      0.993425       0.206349  4.406898   \n",
-       "0  0.202054  0.518772  0.478261      0.872959       0.144300  3.912577   \n",
-       "0  0.198193  0.515501  0.437964      1.000000       0.033911  2.836513   \n",
-       "0  0.195741  0.514084  0.418876      0.998409       0.168831  4.152102   \n",
-       "0  0.171187  0.509546  0.384942      1.000000       0.025974  2.711772   \n",
-       "0  0.114687  0.506181  0.301166      0.986002       0.184704  5.093324   \n",
-       "0  0.048068  0.499885  0.154825      0.402333       0.434343  5.133650   \n",
-       "0  0.011760  0.496724  0.021209      0.482821       0.059885  2.232578   \n",
-       "0  0.002744  0.496441  0.007423      0.602121       0.010823  2.089186   \n",
-       "0  0.001677  0.496424  0.009544      0.600530       0.005051  1.803126   \n",
-       "0  0.000368  0.496391  0.003181      0.392153       0.115440  4.174741   \n",
-       "\n",
-       "       Gini  \n",
-       "0  0.885116  \n",
-       "0  0.918177  \n",
-       "0  0.974947  \n",
-       "0  0.825683  \n",
-       "0  0.987317  \n",
-       "0  0.924146  \n",
-       "0  0.953781  \n",
-       "0  0.971609  \n",
-       "0  0.991139  \n",
-       "0  0.964603  \n",
-       "0  0.992003  \n",
-       "0  0.907405  \n",
-       "0  0.877999  \n",
-       "0  0.994487  \n",
-       "0  0.995706  \n",
-       "0  0.996380  \n",
-       "0  0.965327  "
+       "       LAUC        HR  Reco in test  Test coverage   Shannon      Gini  \n",
+       "0  0.555546  0.765642      1.000000       0.038961  3.159079  0.987317  \n",
+       "0  0.515501  0.437964      1.000000       0.033911  2.836513  0.991139  \n",
+       "0  0.509546  0.384942      1.000000       0.025974  2.711772  0.992003  \n",
+       "0  0.507802  0.325557      0.988865       0.190476  5.100033  0.907724  \n",
+       "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }