diff --git a/P3. k-nearest neighbours.ipynb b/P3. k-nearest neighbours.ipynb
index a15592c..55a3ee7 100644
--- a/P3. k-nearest neighbours.ipynb	
+++ b/P3. k-nearest neighbours.ipynb	
@@ -113,7 +113,7 @@
       "text/plain": [
        "array([[3, 4, 0, 0, 5, 0, 0, 4],\n",
        "       [0, 1, 2, 3, 0, 0, 0, 0],\n",
-       "       [0, 0, 0, 5, 0, 3, 4, 0]])"
+       "       [0, 0, 0, 5, 0, 3, 4, 0]], dtype=int64)"
       ]
      },
      "metadata": {},
@@ -256,7 +256,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 9004.71it/s]\n"
+      "943it [00:00, 9914.99it/s]\n"
      ]
     },
     {
@@ -293,6 +293,8 @@
        "      <th>MRR</th>\n",
        "      <th>LAUC</th>\n",
        "      <th>HR</th>\n",
+       "      <th>HitRate2</th>\n",
+       "      <th>HitRate3</th>\n",
        "      <th>Reco in test</th>\n",
        "      <th>Test coverage</th>\n",
        "      <th>Shannon</th>\n",
@@ -315,6 +317,8 @@
        "      <td>0.000368</td>\n",
        "      <td>0.496391</td>\n",
        "      <td>0.003181</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.392153</td>\n",
        "      <td>0.11544</td>\n",
        "      <td>4.174741</td>\n",
@@ -331,8 +335,11 @@
        "   precision_super  recall_super      NDCG       mAP       MRR      LAUC  \\\n",
        "0              0.0           0.0  0.000214  0.000037  0.000368  0.496391   \n",
        "\n",
-       "         HR  Reco in test  Test coverage   Shannon      Gini  \n",
-       "0  0.003181      0.392153        0.11544  4.174741  0.965327  "
+       "         HR  HitRate2  HitRate3  Reco in test  Test coverage   Shannon  \\\n",
+       "0  0.003181       0.0       0.0      0.392153        0.11544  4.174741   \n",
+       "\n",
+       "       Gini  \n",
+       "0  0.965327  "
       ]
      },
      "execution_count": 5,
@@ -365,12 +372,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 8517.83it/s]\n",
-      "943it [00:00, 11438.64it/s]\n",
-      "943it [00:00, 11933.36it/s]\n",
-      "943it [00:00, 10307.81it/s]\n",
-      "943it [00:00, 12250.41it/s]\n",
-      "943it [00:00, 12064.07it/s]\n"
+      "943it [00:00, 9928.75it/s]\n",
+      "943it [00:00, 10480.56it/s]\n",
+      "943it [00:00, 8591.71it/s]\n",
+      "943it [00:00, 9949.81it/s]\n",
+      "943it [00:00, 9925.57it/s]\n",
+      "943it [00:00, 9911.02it/s]\n",
+      "943it [00:00, 9196.77it/s]\n",
+      "943it [00:00, 9443.97it/s]\n",
+      "943it [00:00, 8577.83it/s]\n"
      ]
     },
     {
@@ -408,6 +418,8 @@
        "      <th>MRR</th>\n",
        "      <th>LAUC</th>\n",
        "      <th>HR</th>\n",
+       "      <th>HitRate2</th>\n",
+       "      <th>HitRate3</th>\n",
        "      <th>Reco in test</th>\n",
        "      <th>Test coverage</th>\n",
        "      <th>Shannon</th>\n",
@@ -431,6 +443,8 @@
        "      <td>0.400939</td>\n",
        "      <td>0.555546</td>\n",
        "      <td>0.765642</td>\n",
+       "      <td>0.492047</td>\n",
+       "      <td>0.290562</td>\n",
        "      <td>1.000000</td>\n",
        "      <td>0.038961</td>\n",
        "      <td>3.159079</td>\n",
@@ -452,6 +466,8 @@
        "      <td>0.198193</td>\n",
        "      <td>0.515501</td>\n",
        "      <td>0.437964</td>\n",
+       "      <td>0.239661</td>\n",
+       "      <td>0.126193</td>\n",
        "      <td>1.000000</td>\n",
        "      <td>0.033911</td>\n",
        "      <td>2.836513</td>\n",
@@ -460,23 +476,94 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.521845</td>\n",
-       "      <td>1.225949</td>\n",
-       "      <td>0.047190</td>\n",
-       "      <td>0.020753</td>\n",
-       "      <td>0.024810</td>\n",
-       "      <td>0.032269</td>\n",
-       "      <td>0.029506</td>\n",
-       "      <td>0.023707</td>\n",
-       "      <td>0.050075</td>\n",
-       "      <td>0.018728</td>\n",
-       "      <td>0.121957</td>\n",
-       "      <td>0.506893</td>\n",
-       "      <td>0.329799</td>\n",
-       "      <td>0.986532</td>\n",
-       "      <td>0.184704</td>\n",
-       "      <td>5.099706</td>\n",
-       "      <td>0.907217</td>\n",
+       "      <td>1.516512</td>\n",
+       "      <td>1.217214</td>\n",
+       "      <td>0.045599</td>\n",
+       "      <td>0.021001</td>\n",
+       "      <td>0.024136</td>\n",
+       "      <td>0.031226</td>\n",
+       "      <td>0.028541</td>\n",
+       "      <td>0.022057</td>\n",
+       "      <td>0.050154</td>\n",
+       "      <td>0.019000</td>\n",
+       "      <td>0.125089</td>\n",
+       "      <td>0.507013</td>\n",
+       "      <td>0.327678</td>\n",
+       "      <td>0.093319</td>\n",
+       "      <td>0.026511</td>\n",
+       "      <td>0.988017</td>\n",
+       "      <td>0.192641</td>\n",
+       "      <td>5.141246</td>\n",
+       "      <td>0.903763</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>0.072110</td>\n",
+       "      <td>0.024390</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>0.004242</td>\n",
+       "      <td>0.000000</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>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.602121</td>\n",
+       "      <td>0.010823</td>\n",
+       "      <td>2.089186</td>\n",
+       "      <td>0.995706</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -494,6 +581,8 @@
        "      <td>0.003348</td>\n",
        "      <td>0.496433</td>\n",
        "      <td>0.009544</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.699046</td>\n",
        "      <td>0.005051</td>\n",
        "      <td>1.945910</td>\n",
@@ -515,6 +604,8 @@
        "      <td>0.001677</td>\n",
        "      <td>0.496424</td>\n",
        "      <td>0.009544</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.600530</td>\n",
        "      <td>0.005051</td>\n",
        "      <td>1.803126</td>\n",
@@ -536,6 +627,8 @@
        "      <td>0.000368</td>\n",
        "      <td>0.496391</td>\n",
        "      <td>0.003181</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.392153</td>\n",
        "      <td>0.115440</td>\n",
        "      <td>4.174741</td>\n",
@@ -546,29 +639,49 @@
        "</div>"
       ],
       "text/plain": [
-       "             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     Ready_Random  1.521845  1.225949   0.047190  0.020753  0.024810   \n",
-       "0    Self_TopRated  1.030712  0.820904   0.000954  0.000188  0.000298   \n",
-       "0  Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
-       "0        Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \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         Ready_Random  1.516512  1.217214   0.045599  0.021001  0.024136   \n",
+       "0          Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
+       "0  Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
+       "0          Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
+       "0        Self_TopRated  1.030712  0.820904   0.000954  0.000188  0.000298   \n",
+       "0      Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
+       "0            Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
        "\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  0.032269         0.029506      0.023707  0.050075  0.018728  0.121957   \n",
+       "0  0.031226         0.028541      0.022057  0.050154  0.019000  0.125089   \n",
+       "0  0.016046         0.021137      0.009522  0.024214  0.008958  0.048068   \n",
+       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
+       "0  0.000449         0.000536      0.000198  0.000845  0.000274  0.002744   \n",
        "0  0.000481         0.000644      0.000223  0.001043  0.000335  0.003348   \n",
        "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
        "0  0.000189         0.000000      0.000000  0.000214  0.000037  0.000368   \n",
        "\n",
-       "       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  0.506893  0.329799      0.986532       0.184704  5.099706  0.907217  \n",
-       "0  0.496433  0.009544      0.699046       0.005051  1.945910  0.995669  \n",
-       "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  \n",
-       "0  0.496391  0.003181      0.392153       0.115440  4.174741  0.965327  "
+       "       LAUC        HR  HitRate2  HitRate3  Reco in test  Test coverage  \\\n",
+       "0  0.555546  0.765642  0.492047  0.290562      1.000000       0.038961   \n",
+       "0  0.515501  0.437964  0.239661  0.126193      1.000000       0.033911   \n",
+       "0  0.507013  0.327678  0.093319  0.026511      0.988017       0.192641   \n",
+       "0  0.499885  0.154825  0.072110  0.024390      0.402333       0.434343   \n",
+       "0  0.496724  0.021209  0.004242  0.000000      0.482821       0.059885   \n",
+       "0  0.496441  0.007423  0.000000  0.000000      0.602121       0.010823   \n",
+       "0  0.496433  0.009544  0.000000  0.000000      0.699046       0.005051   \n",
+       "0  0.496424  0.009544  0.000000  0.000000      0.600530       0.005051   \n",
+       "0  0.496391  0.003181  0.000000  0.000000      0.392153       0.115440   \n",
+       "\n",
+       "    Shannon      Gini  \n",
+       "0  3.159079  0.987317  \n",
+       "0  2.836513  0.991139  \n",
+       "0  5.141246  0.903763  \n",
+       "0  5.133650  0.877999  \n",
+       "0  2.232578  0.994487  \n",
+       "0  2.089186  0.995706  \n",
+       "0  1.945910  0.995669  \n",
+       "0  1.803126  0.996380  \n",
+       "0  4.174741  0.965327  "
       ]
      },
      "execution_count": 6,
@@ -718,15 +831,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 11286.27it/s]\n",
-      "943it [00:00, 10874.86it/s]\n",
-      "943it [00:00, 11509.97it/s]\n",
-      "943it [00:00, 11855.81it/s]\n",
-      "943it [00:00, 11574.00it/s]\n",
-      "943it [00:00, 11080.19it/s]\n",
-      "943it [00:00, 11550.84it/s]\n",
-      "943it [00:00, 12148.14it/s]\n",
-      "943it [00:00, 10779.39it/s]\n"
+      "943it [00:00, 8051.57it/s]\n",
+      "943it [00:00, 9790.90it/s]\n",
+      "943it [00:00, 9404.38it/s]\n",
+      "943it [00:00, 9429.83it/s]\n",
+      "943it [00:00, 9915.86it/s]\n",
+      "943it [00:00, 8625.66it/s]\n",
+      "943it [00:00, 9687.63it/s]\n",
+      "943it [00:00, 10469.91it/s]\n",
+      "943it [00:00, 8577.63it/s]\n"
      ]
     },
     {
@@ -764,6 +877,8 @@
        "      <th>MRR</th>\n",
        "      <th>LAUC</th>\n",
        "      <th>HR</th>\n",
+       "      <th>HitRate2</th>\n",
+       "      <th>HitRate3</th>\n",
        "      <th>Reco in test</th>\n",
        "      <th>Test coverage</th>\n",
        "      <th>Shannon</th>\n",
@@ -787,6 +902,8 @@
        "      <td>0.400939</td>\n",
        "      <td>0.555546</td>\n",
        "      <td>0.765642</td>\n",
+       "      <td>0.492047</td>\n",
+       "      <td>0.290562</td>\n",
        "      <td>1.000000</td>\n",
        "      <td>0.038961</td>\n",
        "      <td>3.159079</td>\n",
@@ -808,6 +925,8 @@
        "      <td>0.198193</td>\n",
        "      <td>0.515501</td>\n",
        "      <td>0.437964</td>\n",
+       "      <td>0.239661</td>\n",
+       "      <td>0.126193</td>\n",
        "      <td>1.000000</td>\n",
        "      <td>0.033911</td>\n",
        "      <td>2.836513</td>\n",
@@ -816,23 +935,25 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.521845</td>\n",
-       "      <td>1.225949</td>\n",
-       "      <td>0.047190</td>\n",
-       "      <td>0.020753</td>\n",
-       "      <td>0.024810</td>\n",
-       "      <td>0.032269</td>\n",
-       "      <td>0.029506</td>\n",
-       "      <td>0.023707</td>\n",
-       "      <td>0.050075</td>\n",
-       "      <td>0.018728</td>\n",
-       "      <td>0.121957</td>\n",
-       "      <td>0.506893</td>\n",
-       "      <td>0.329799</td>\n",
-       "      <td>0.986532</td>\n",
-       "      <td>0.184704</td>\n",
-       "      <td>5.099706</td>\n",
-       "      <td>0.907217</td>\n",
+       "      <td>1.516512</td>\n",
+       "      <td>1.217214</td>\n",
+       "      <td>0.045599</td>\n",
+       "      <td>0.021001</td>\n",
+       "      <td>0.024136</td>\n",
+       "      <td>0.031226</td>\n",
+       "      <td>0.028541</td>\n",
+       "      <td>0.022057</td>\n",
+       "      <td>0.050154</td>\n",
+       "      <td>0.019000</td>\n",
+       "      <td>0.125089</td>\n",
+       "      <td>0.507013</td>\n",
+       "      <td>0.327678</td>\n",
+       "      <td>0.093319</td>\n",
+       "      <td>0.026511</td>\n",
+       "      <td>0.988017</td>\n",
+       "      <td>0.192641</td>\n",
+       "      <td>5.141246</td>\n",
+       "      <td>0.903763</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -850,6 +971,8 @@
        "      <td>0.048068</td>\n",
        "      <td>0.499885</td>\n",
        "      <td>0.154825</td>\n",
+       "      <td>0.072110</td>\n",
+       "      <td>0.024390</td>\n",
        "      <td>0.402333</td>\n",
        "      <td>0.434343</td>\n",
        "      <td>5.133650</td>\n",
@@ -871,6 +994,8 @@
        "      <td>0.011760</td>\n",
        "      <td>0.496724</td>\n",
        "      <td>0.021209</td>\n",
+       "      <td>0.004242</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.482821</td>\n",
        "      <td>0.059885</td>\n",
        "      <td>2.232578</td>\n",
@@ -892,6 +1017,8 @@
        "      <td>0.002744</td>\n",
        "      <td>0.496441</td>\n",
        "      <td>0.007423</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.602121</td>\n",
        "      <td>0.010823</td>\n",
        "      <td>2.089186</td>\n",
@@ -913,6 +1040,8 @@
        "      <td>0.003348</td>\n",
        "      <td>0.496433</td>\n",
        "      <td>0.009544</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.699046</td>\n",
        "      <td>0.005051</td>\n",
        "      <td>1.945910</td>\n",
@@ -934,6 +1063,8 @@
        "      <td>0.001677</td>\n",
        "      <td>0.496424</td>\n",
        "      <td>0.009544</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.600530</td>\n",
        "      <td>0.005051</td>\n",
        "      <td>1.803126</td>\n",
@@ -955,6 +1086,8 @@
        "      <td>0.000368</td>\n",
        "      <td>0.496391</td>\n",
        "      <td>0.003181</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.392153</td>\n",
        "      <td>0.115440</td>\n",
        "      <td>4.174741</td>\n",
@@ -968,7 +1101,7 @@
        "                 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         Ready_Random  1.521845  1.225949   0.047190  0.020753  0.024810   \n",
+       "0         Ready_Random  1.516512  1.217214   0.045599  0.021001  0.024136   \n",
        "0          Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
        "0  Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
        "0          Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
@@ -979,7 +1112,7 @@
        "       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  0.032269         0.029506      0.023707  0.050075  0.018728  0.121957   \n",
+       "0  0.031226         0.028541      0.022057  0.050154  0.019000  0.125089   \n",
        "0  0.016046         0.021137      0.009522  0.024214  0.008958  0.048068   \n",
        "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
        "0  0.000449         0.000536      0.000198  0.000845  0.000274  0.002744   \n",
@@ -987,16 +1120,27 @@
        "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
        "0  0.000189         0.000000      0.000000  0.000214  0.000037  0.000368   \n",
        "\n",
-       "       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  0.506893  0.329799      0.986532       0.184704  5.099706  0.907217  \n",
-       "0  0.499885  0.154825      0.402333       0.434343  5.133650  0.877999  \n",
-       "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
-       "0  0.496441  0.007423      0.602121       0.010823  2.089186  0.995706  \n",
-       "0  0.496433  0.009544      0.699046       0.005051  1.945910  0.995669  \n",
-       "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  \n",
-       "0  0.496391  0.003181      0.392153       0.115440  4.174741  0.965327  "
+       "       LAUC        HR  HitRate2  HitRate3  Reco in test  Test coverage  \\\n",
+       "0  0.555546  0.765642  0.492047  0.290562      1.000000       0.038961   \n",
+       "0  0.515501  0.437964  0.239661  0.126193      1.000000       0.033911   \n",
+       "0  0.507013  0.327678  0.093319  0.026511      0.988017       0.192641   \n",
+       "0  0.499885  0.154825  0.072110  0.024390      0.402333       0.434343   \n",
+       "0  0.496724  0.021209  0.004242  0.000000      0.482821       0.059885   \n",
+       "0  0.496441  0.007423  0.000000  0.000000      0.602121       0.010823   \n",
+       "0  0.496433  0.009544  0.000000  0.000000      0.699046       0.005051   \n",
+       "0  0.496424  0.009544  0.000000  0.000000      0.600530       0.005051   \n",
+       "0  0.496391  0.003181  0.000000  0.000000      0.392153       0.115440   \n",
+       "\n",
+       "    Shannon      Gini  \n",
+       "0  3.159079  0.987317  \n",
+       "0  2.836513  0.991139  \n",
+       "0  5.141246  0.903763  \n",
+       "0  5.133650  0.877999  \n",
+       "0  2.232578  0.994487  \n",
+       "0  2.089186  0.995706  \n",
+       "0  1.945910  0.995669  \n",
+       "0  1.803126  0.996380  \n",
+       "0  4.174741  0.965327  "
       ]
      },
      "execution_count": 10,
@@ -1021,7 +1165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1031,6 +1175,463 @@
     "# please save the output in 'Recommendations generated/ml-100k/Self_KNNSurprisetask_reco.csv' and\n",
     "# 'Recommendations generated/ml-100k/Self_KNNSurprisetask_estimations.csv'"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Estimating biases using als...\n",
+      "Computing the msd similarity matrix...\n",
+      "Done computing similarity matrix.\n",
+      "Generating predictions...\n",
+      "Generating top N recommendations...\n",
+      "Generating predictions...\n"
+     ]
+    }
+   ],
+   "source": [
+    "sim_options = {\n",
+    "    \"name\": \"cosine\",\n",
+    "    \"user_based\": True,\n",
+    "}  # compute similarities between items\n",
+    "algorytm = sp.KNNBaseline(min_k=55, k=155)\n",
+    "\n",
+    "helpers.ready_made(\n",
+    "    algorytm,\n",
+    "    reco_path=\"Recommendations generated/ml-100k/Self_KNNSurprisetask_reco.csv\",\n",
+    "    estimations_path=\"Recommendations generated/ml-100k/Self_KNNSurprisetask_estimations.csv\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "943it [00:00, 12777.10it/s]\n",
+      "943it [00:00, 13902.58it/s]\n",
+      "943it [00:00, 13703.41it/s]\n",
+      "943it [00:00, 12363.57it/s]\n",
+      "943it [00:00, 14321.56it/s]\n",
+      "943it [00:00, 13132.35it/s]\n",
+      "943it [00:00, 14318.76it/s]\n",
+      "943it [00:00, 11530.04it/s]\n",
+      "943it [00:00, 11255.60it/s]\n",
+      "943it [00:00, 12605.02it/s]\n",
+      "943it [00:00, 12946.27it/s]\n",
+      "943it [00:00, 12127.73it/s]\n"
+     ]
+    },
+    {
+     "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>Model</th>\n",
+       "      <th>RMSE</th>\n",
+       "      <th>MAE</th>\n",
+       "      <th>precision</th>\n",
+       "      <th>recall</th>\n",
+       "      <th>F_1</th>\n",
+       "      <th>F_05</th>\n",
+       "      <th>precision_super</th>\n",
+       "      <th>recall_super</th>\n",
+       "      <th>NDCG</th>\n",
+       "      <th>mAP</th>\n",
+       "      <th>MRR</th>\n",
+       "      <th>LAUC</th>\n",
+       "      <th>HR</th>\n",
+       "      <th>HitRate2</th>\n",
+       "      <th>HitRate3</th>\n",
+       "      <th>Reco in test</th>\n",
+       "      <th>Test coverage</th>\n",
+       "      <th>Shannon</th>\n",
+       "      <th>Gini</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Self_RP3Beta</td>\n",
+       "      <td>3.501158</td>\n",
+       "      <td>3.321368</td>\n",
+       "      <td>0.315907</td>\n",
+       "      <td>0.213088</td>\n",
+       "      <td>0.208492</td>\n",
+       "      <td>0.242756</td>\n",
+       "      <td>0.233476</td>\n",
+       "      <td>0.270002</td>\n",
+       "      <td>0.382946</td>\n",
+       "      <td>0.245988</td>\n",
+       "      <td>0.626241</td>\n",
+       "      <td>0.604180</td>\n",
+       "      <td>0.896076</td>\n",
+       "      <td>0.727466</td>\n",
+       "      <td>0.538706</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.122655</td>\n",
+       "      <td>4.342930</td>\n",
+       "      <td>0.959561</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>0.685048</td>\n",
+       "      <td>0.495228</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>Self_TopPop</td>\n",
+       "      <td>2.508258</td>\n",
+       "      <td>2.217909</td>\n",
+       "      <td>0.188865</td>\n",
+       "      <td>0.116919</td>\n",
+       "      <td>0.118732</td>\n",
+       "      <td>0.141584</td>\n",
+       "      <td>0.130472</td>\n",
+       "      <td>0.137473</td>\n",
+       "      <td>0.214651</td>\n",
+       "      <td>0.111707</td>\n",
+       "      <td>0.400939</td>\n",
+       "      <td>0.555546</td>\n",
+       "      <td>0.765642</td>\n",
+       "      <td>0.492047</td>\n",
+       "      <td>0.290562</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.038961</td>\n",
+       "      <td>3.159079</td>\n",
+       "      <td>0.987317</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Self_KNNSurprisetask</td>\n",
+       "      <td>0.942531</td>\n",
+       "      <td>0.744851</td>\n",
+       "      <td>0.090562</td>\n",
+       "      <td>0.038031</td>\n",
+       "      <td>0.045951</td>\n",
+       "      <td>0.060863</td>\n",
+       "      <td>0.080258</td>\n",
+       "      <td>0.058681</td>\n",
+       "      <td>0.090174</td>\n",
+       "      <td>0.038552</td>\n",
+       "      <td>0.178715</td>\n",
+       "      <td>0.515679</td>\n",
+       "      <td>0.448568</td>\n",
+       "      <td>0.232238</td>\n",
+       "      <td>0.123012</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.042569</td>\n",
+       "      <td>3.015508</td>\n",
+       "      <td>0.989612</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",
+       "      <td>0.091410</td>\n",
+       "      <td>0.037652</td>\n",
+       "      <td>0.046030</td>\n",
+       "      <td>0.061286</td>\n",
+       "      <td>0.079614</td>\n",
+       "      <td>0.056463</td>\n",
+       "      <td>0.095957</td>\n",
+       "      <td>0.043178</td>\n",
+       "      <td>0.198193</td>\n",
+       "      <td>0.515501</td>\n",
+       "      <td>0.437964</td>\n",
+       "      <td>0.239661</td>\n",
+       "      <td>0.126193</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.033911</td>\n",
+       "      <td>2.836513</td>\n",
+       "      <td>0.991139</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Ready_Random</td>\n",
+       "      <td>1.516512</td>\n",
+       "      <td>1.217214</td>\n",
+       "      <td>0.045599</td>\n",
+       "      <td>0.021001</td>\n",
+       "      <td>0.024136</td>\n",
+       "      <td>0.031226</td>\n",
+       "      <td>0.028541</td>\n",
+       "      <td>0.022057</td>\n",
+       "      <td>0.050154</td>\n",
+       "      <td>0.019000</td>\n",
+       "      <td>0.125089</td>\n",
+       "      <td>0.507013</td>\n",
+       "      <td>0.327678</td>\n",
+       "      <td>0.093319</td>\n",
+       "      <td>0.026511</td>\n",
+       "      <td>0.988017</td>\n",
+       "      <td>0.192641</td>\n",
+       "      <td>5.141246</td>\n",
+       "      <td>0.903763</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>0.072110</td>\n",
+       "      <td>0.024390</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>0.004242</td>\n",
+       "      <td>0.000000</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>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.602121</td>\n",
+       "      <td>0.010823</td>\n",
+       "      <td>2.089186</td>\n",
+       "      <td>0.995706</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Self_TopRated</td>\n",
+       "      <td>1.030712</td>\n",
+       "      <td>0.820904</td>\n",
+       "      <td>0.000954</td>\n",
+       "      <td>0.000188</td>\n",
+       "      <td>0.000298</td>\n",
+       "      <td>0.000481</td>\n",
+       "      <td>0.000644</td>\n",
+       "      <td>0.000223</td>\n",
+       "      <td>0.001043</td>\n",
+       "      <td>0.000335</td>\n",
+       "      <td>0.003348</td>\n",
+       "      <td>0.496433</td>\n",
+       "      <td>0.009544</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.699046</td>\n",
+       "      <td>0.005051</td>\n",
+       "      <td>1.945910</td>\n",
+       "      <td>0.995669</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Self_BaselineUI</td>\n",
+       "      <td>0.967585</td>\n",
+       "      <td>0.762740</td>\n",
+       "      <td>0.000954</td>\n",
+       "      <td>0.000170</td>\n",
+       "      <td>0.000278</td>\n",
+       "      <td>0.000463</td>\n",
+       "      <td>0.000644</td>\n",
+       "      <td>0.000189</td>\n",
+       "      <td>0.000752</td>\n",
+       "      <td>0.000168</td>\n",
+       "      <td>0.001677</td>\n",
+       "      <td>0.496424</td>\n",
+       "      <td>0.009544</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.600530</td>\n",
+       "      <td>0.005051</td>\n",
+       "      <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>0.000000</td>\n",
+       "      <td>0.000000</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       F_1  \\\n",
+       "0          Self_RP3Beta  3.501158  3.321368   0.315907  0.213088  0.208492   \n",
+       "0               Self_P3  3.702446  3.527273   0.282185  0.192092  0.186749   \n",
+       "0           Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
+       "0  Self_KNNSurprisetask  0.942531  0.744851   0.090562  0.038031  0.045951   \n",
+       "0        Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
+       "0          Ready_Random  1.516512  1.217214   0.045599  0.021001  0.024136   \n",
+       "0           Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
+       "0   Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
+       "0           Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
+       "0         Self_TopRated  1.030712  0.820904   0.000954  0.000188  0.000298   \n",
+       "0       Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
+       "0             Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
+       "\n",
+       "       F_05  precision_super  recall_super      NDCG       mAP       MRR  \\\n",
+       "0  0.242756         0.233476      0.270002  0.382946  0.245988  0.626241   \n",
+       "0  0.216980         0.204185      0.240096  0.339114  0.204905  0.572157   \n",
+       "0  0.141584         0.130472      0.137473  0.214651  0.111707  0.400939   \n",
+       "0  0.060863         0.080258      0.058681  0.090174  0.038552  0.178715   \n",
+       "0  0.061286         0.079614      0.056463  0.095957  0.043178  0.198193   \n",
+       "0  0.031226         0.028541      0.022057  0.050154  0.019000  0.125089   \n",
+       "0  0.016046         0.021137      0.009522  0.024214  0.008958  0.048068   \n",
+       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
+       "0  0.000449         0.000536      0.000198  0.000845  0.000274  0.002744   \n",
+       "0  0.000481         0.000644      0.000223  0.001043  0.000335  0.003348   \n",
+       "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
+       "0  0.000189         0.000000      0.000000  0.000214  0.000037  0.000368   \n",
+       "\n",
+       "       LAUC        HR  HitRate2  HitRate3  Reco in test  Test coverage  \\\n",
+       "0  0.604180  0.896076  0.727466  0.538706      1.000000       0.122655   \n",
+       "0  0.593544  0.875928  0.685048  0.495228      1.000000       0.077201   \n",
+       "0  0.555546  0.765642  0.492047  0.290562      1.000000       0.038961   \n",
+       "0  0.515679  0.448568  0.232238  0.123012      1.000000       0.042569   \n",
+       "0  0.515501  0.437964  0.239661  0.126193      1.000000       0.033911   \n",
+       "0  0.507013  0.327678  0.093319  0.026511      0.988017       0.192641   \n",
+       "0  0.499885  0.154825  0.072110  0.024390      0.402333       0.434343   \n",
+       "0  0.496724  0.021209  0.004242  0.000000      0.482821       0.059885   \n",
+       "0  0.496441  0.007423  0.000000  0.000000      0.602121       0.010823   \n",
+       "0  0.496433  0.009544  0.000000  0.000000      0.699046       0.005051   \n",
+       "0  0.496424  0.009544  0.000000  0.000000      0.600530       0.005051   \n",
+       "0  0.496391  0.003181  0.000000  0.000000      0.392153       0.115440   \n",
+       "\n",
+       "    Shannon      Gini  \n",
+       "0  4.342930  0.959561  \n",
+       "0  3.875892  0.974947  \n",
+       "0  3.159079  0.987317  \n",
+       "0  3.015508  0.989612  \n",
+       "0  2.836513  0.991139  \n",
+       "0  5.141246  0.903763  \n",
+       "0  5.133650  0.877999  \n",
+       "0  2.232578  0.994487  \n",
+       "0  2.089186  0.995706  \n",
+       "0  1.945910  0.995669  \n",
+       "0  1.803126  0.996380  \n",
+       "0  4.174741  0.965327  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dir_path = \"Recommendations generated/ml-100k/\"\n",
+    "super_reactions = [4, 5]\n",
+    "test = pd.read_csv(\"./Datasets/ml-100k/test.csv\", sep=\"\\t\", header=None)\n",
+    "\n",
+    "ev.evaluate_all(test, dir_path, super_reactions)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {