Changes in slides

This commit is contained in:
Robert 2020-05-21 22:53:34 +02:00
parent 8ad2469287
commit 45e88a01aa
15 changed files with 102481 additions and 102950 deletions

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{
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"<3x4 sparse matrix of type '<class 'numpy.int64'>'\n",
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"\twith 8 stored elements in Compressed Sparse Row format>"
]
},
@ -307,7 +307,7 @@
"name": "stdout",
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"472 ns ± 7.02 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)\n",
"1.03 µs ± 114 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 @@
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"57.3 µs ± 6.26 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
"132 µs ± 5.13 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
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@ -556,7 +556,7 @@
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@ -757,18 +757,18 @@
"</div>"
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@ -1193,24 +1193,24 @@
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"text": [
"RMSE: 1.5190\n",
"MAE: 1.2222\n"
"RMSE: 1.5070\n",
"MAE: 1.2072\n"
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"943it [00:00, 9409.37it/s]\n"
"943it [00:00, 6311.05it/s]\n"
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"0 0.437964 1.0 0.033911 2.836513 0.991139 "
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@ -578,18 +578,18 @@
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"943it [00:00, 9608.49it/s]\n",
"943it [00:00, 9837.12it/s]\n",
"943it [00:00, 10292.46it/s]\n",
"943it [00:00, 9906.94it/s]\n",
"943it [00:00, 9162.09it/s]\n"
"943it [00:00, 7637.21it/s]\n",
"943it [00:00, 6445.83it/s]\n",
"943it [00:00, 7342.27it/s]\n",
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@ -608,7 +608,7 @@
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{
@ -683,14 +683,14 @@
" <tr>\n",
" <th>0</th>\n",
" <td>Ready_Random</td>\n",
" <td>1.518964</td>\n",
" <td>1.222159</td>\n",
" <td>0.046554</td>\n",
" <td>0.020603</td>\n",
" <td>0.023679</td>\n",
" <td>0.031216</td>\n",
" <td>0.028970</td>\n",
" <td>0.021179</td>\n",
" <td>1.517787</td>\n",
" <td>1.217953</td>\n",
" <td>0.047826</td>\n",
" <td>0.017861</td>\n",
" <td>0.022711</td>\n",
" <td>0.031080</td>\n",
" <td>0.028219</td>\n",
" <td>0.016982</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
@ -713,18 +713,18 @@
"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 1.518964 1.222159 0.046554 0.020603 0.023679 \n",
"0 Ready_Random 1.517787 1.217953 0.047826 0.017861 0.022711 \n",
"0 Self_BaselineUI 0.967585 0.762740 0.000954 0.000170 0.000278 \n",
"\n",
" 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 0.031216 0.028970 0.021179 \n",
"0 0.031080 0.028219 0.016982 \n",
"0 0.000463 0.000644 0.000189 "
]
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@ -735,7 +735,7 @@
},
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{
@ -814,15 +814,15 @@
" <tr>\n",
" <th>0</th>\n",
" <td>Ready_Random</td>\n",
" <td>0.050489</td>\n",
" <td>0.019185</td>\n",
" <td>0.123856</td>\n",
" <td>0.506812</td>\n",
" <td>0.322375</td>\n",
" <td>0.987805</td>\n",
" <td>0.184704</td>\n",
" <td>5.103172</td>\n",
" <td>0.906873</td>\n",
" <td>0.051154</td>\n",
" <td>0.019551</td>\n",
" <td>0.125693</td>\n",
" <td>0.505448</td>\n",
" <td>0.318134</td>\n",
" <td>0.986426</td>\n",
" <td>0.186869</td>\n",
" <td>5.091730</td>\n",
" <td>0.908288</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
@ -846,18 +846,18 @@
"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 0.050489 0.019185 0.123856 0.506812 0.322375 \n",
"0 Ready_Random 0.051154 0.019551 0.125693 0.505448 0.318134 \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 0.038961 3.159079 0.987317 \n",
"0 1.000000 0.033911 2.836513 0.991139 \n",
"0 1.000000 0.025974 2.711772 0.992003 \n",
"0 0.987805 0.184704 5.103172 0.906873 \n",
"0 0.986426 0.186869 5.091730 0.908288 \n",
"0 0.600530 0.005051 1.803126 0.996380 "
]
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@ -875,14 +875,14 @@
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{
"name": "stderr",
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"text": [
"3it [00:00, 1651.52it/s]\n"
"3it [00:00, 2446.61it/s]\n"
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{
@ -1207,7 +1207,7 @@
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{
@ -1246,148 +1246,148 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>24754</th>\n",
" <td>105</td>\n",
" <th>7917</th>\n",
" <td>100</td>\n",
" <td>5</td>\n",
" <td>Gattaca (1997)</td>\n",
" <td>Drama, Sci-Fi, Thriller</td>\n",
" <td>As Good As It Gets (1997)</td>\n",
" <td>Comedy, Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37073</th>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>Contact (1997)</td>\n",
" <td>Drama, Sci-Fi</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40592</th>\n",
" <td>105</td>\n",
" <th>40494</th>\n",
" <td>100</td>\n",
" <td>5</td>\n",
" <td>Titanic (1997)</td>\n",
" <td>Action, Drama, Romance</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46032</th>\n",
" <td>105</td>\n",
" <th>23127</th>\n",
" <td>100</td>\n",
" <td>5</td>\n",
" <td>Apt Pupil (1998)</td>\n",
" <td>Drama, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45163</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Tomorrow Never Dies (1997)</td>\n",
" <td>Action, Romance, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28194</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Conspiracy Theory (1997)</td>\n",
" <td>Action, Mystery, Romance, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46108</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>L.A. Confidential (1997)</td>\n",
" <td>Crime, Film-Noir, Mystery, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17916</th>\n",
" <td>105</td>\n",
" <th>43730</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>English Patient, The (1996)</td>\n",
" <td>Drama, Romance, War</td>\n",
" <td>Amistad (1997)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23767</th>\n",
" <td>105</td>\n",
" <th>42366</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Chasing Amy (1997)</td>\n",
" <td>Drama, Romance</td>\n",
" <td>Postman, The (1997)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47003</th>\n",
" <td>105</td>\n",
" <th>37000</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Cop Land (1997)</td>\n",
" <td>Crime, Drama, Mystery</td>\n",
" <td>Contact (1997)</td>\n",
" <td>Drama, Sci-Fi</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48891</th>\n",
" <td>105</td>\n",
" <th>66556</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Lost Highway (1997)</td>\n",
" <td>Mystery</td>\n",
" <td>Apostle, The (1997)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67355</th>\n",
" <td>105</td>\n",
" <th>67009</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Big Bang Theory, The (1994)</td>\n",
" <td>Crime</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67332</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Good Will Hunting (1997)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54121</th>\n",
" <td>105</td>\n",
" <td>3</td>\n",
" <td>Boogie Nights (1997)</td>\n",
" <th>29564</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Kundun (1997)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55439</th>\n",
" <td>105</td>\n",
" <td>3</td>\n",
" <td>Seven Years in Tibet (1997)</td>\n",
" <td>Drama, War</td>\n",
" <th>26441</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Air Force One (1997)</td>\n",
" <td>Action, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69687</th>\n",
" <td>105</td>\n",
" <td>3</td>\n",
" <th>69735</th>\n",
" <td>100</td>\n",
" <td>4</td>\n",
" <td>Wag the Dog (1997)</td>\n",
" <td>Comedy, Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7321</th>\n",
" <td>105</td>\n",
" <td>2</td>\n",
" <td>Saint, The (1997)</td>\n",
" <td>Action, Romance, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45056</th>\n",
" <td>105</td>\n",
" <td>2</td>\n",
" <td>Tomorrow Never Dies (1997)</td>\n",
" <td>Action, Romance, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64052</th>\n",
" <td>105</td>\n",
" <td>2</td>\n",
" <td>Alien: Resurrection (1997)</td>\n",
" <td>Action, Horror, Sci-Fi</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" user rating title \\\n",
"24754 105 5 Gattaca (1997) \n",
"37073 105 5 Contact (1997) \n",
"40592 105 5 Titanic (1997) \n",
"46032 105 5 L.A. Confidential (1997) \n",
"17916 105 4 English Patient, The (1996) \n",
"23767 105 4 Chasing Amy (1997) \n",
"47003 105 4 Cop Land (1997) \n",
"48891 105 4 Lost Highway (1997) \n",
"67355 105 4 Good Will Hunting (1997) \n",
"54121 105 3 Boogie Nights (1997) \n",
"55439 105 3 Seven Years in Tibet (1997) \n",
"69687 105 3 Wag the Dog (1997) \n",
"7321 105 2 Saint, The (1997) \n",
"45056 105 2 Tomorrow Never Dies (1997) \n",
"64052 105 2 Alien: Resurrection (1997) \n",
"7917 100 5 As Good As It Gets (1997) \n",
"40494 100 5 Titanic (1997) \n",
"23127 100 5 Apt Pupil (1998) \n",
"45163 100 4 Tomorrow Never Dies (1997) \n",
"28194 100 4 Conspiracy Theory (1997) \n",
"46108 100 4 L.A. Confidential (1997) \n",
"43730 100 4 Amistad (1997) \n",
"42366 100 4 Postman, The (1997) \n",
"37000 100 4 Contact (1997) \n",
"66556 100 4 Apostle, The (1997) \n",
"67009 100 4 Big Bang Theory, The (1994) \n",
"67332 100 4 Good Will Hunting (1997) \n",
"29564 100 4 Kundun (1997) \n",
"26441 100 4 Air Force One (1997) \n",
"69735 100 4 Wag the Dog (1997) \n",
"\n",
" genres \n",
"24754 Drama, Sci-Fi, Thriller \n",
"37073 Drama, Sci-Fi \n",
"40592 Action, Drama, Romance \n",
"46032 Crime, Film-Noir, Mystery, Thriller \n",
"17916 Drama, Romance, War \n",
"23767 Drama, Romance \n",
"47003 Crime, Drama, Mystery \n",
"48891 Mystery \n",
"67355 Drama \n",
"54121 Drama \n",
"55439 Drama, War \n",
"69687 Comedy, Drama \n",
"7321 Action, Romance, Thriller \n",
"45056 Action, Romance, Thriller \n",
"64052 Action, Horror, Sci-Fi "
"7917 Comedy, Drama \n",
"40494 Action, Drama, Romance \n",
"23127 Drama, Thriller \n",
"45163 Action, Romance, Thriller \n",
"28194 Action, Mystery, Romance, Thriller \n",
"46108 Crime, Film-Noir, Mystery, Thriller \n",
"43730 Drama \n",
"42366 Drama \n",
"37000 Drama, Sci-Fi \n",
"66556 Drama \n",
"67009 Crime \n",
"67332 Drama \n",
"29564 Drama \n",
"26441 Action, Thriller \n",
"69735 Comedy, Drama "
]
},
"metadata": {},
@ -1429,71 +1429,71 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>103</th>\n",
" <td>105.0</td>\n",
" <th>98</th>\n",
" <td>100.0</td>\n",
" <td>1</td>\n",
" <td>Great Day in Harlem, A (1994)</td>\n",
" <td>Documentary</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1046</th>\n",
" <td>105.0</td>\n",
" <th>1041</th>\n",
" <td>100.0</td>\n",
" <td>2</td>\n",
" <td>Tough and Deadly (1995)</td>\n",
" <td>Action, Drama, Thriller</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1988</th>\n",
" <td>105.0</td>\n",
" <th>1983</th>\n",
" <td>100.0</td>\n",
" <td>3</td>\n",
" <td>Aiqing wansui (1994)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2930</th>\n",
" <td>105.0</td>\n",
" <th>2925</th>\n",
" <td>100.0</td>\n",
" <td>4</td>\n",
" <td>Delta of Venus (1994)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3872</th>\n",
" <td>105.0</td>\n",
" <th>3867</th>\n",
" <td>100.0</td>\n",
" <td>5</td>\n",
" <td>Someone Else's America (1995)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4814</th>\n",
" <td>105.0</td>\n",
" <th>4809</th>\n",
" <td>100.0</td>\n",
" <td>6</td>\n",
" <td>Saint of Fort Washington, The (1993)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5755</th>\n",
" <td>105.0</td>\n",
" <th>5750</th>\n",
" <td>100.0</td>\n",
" <td>7</td>\n",
" <td>Celestial Clockwork (1994)</td>\n",
" <td>Comedy</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6698</th>\n",
" <td>105.0</td>\n",
" <th>6693</th>\n",
" <td>100.0</td>\n",
" <td>8</td>\n",
" <td>Some Mother's Son (1996)</td>\n",
" <td>Drama</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8592</th>\n",
" <td>105.0</td>\n",
" <th>8587</th>\n",
" <td>100.0</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>7638</th>\n",
" <td>105.0</td>\n",
" <th>7633</th>\n",
" <td>100.0</td>\n",
" <td>10</td>\n",
" <td>Prefontaine (1997)</td>\n",
" <td>Drama</td>\n",
@ -1504,31 +1504,31 @@
],
"text/plain": [
" user rec_nb title \\\n",
"103 105.0 1 Great Day in Harlem, A (1994) \n",
"1046 105.0 2 Tough and Deadly (1995) \n",
"1988 105.0 3 Aiqing wansui (1994) \n",
"2930 105.0 4 Delta of Venus (1994) \n",
"3872 105.0 5 Someone Else's America (1995) \n",
"4814 105.0 6 Saint of Fort Washington, The (1993) \n",
"5755 105.0 7 Celestial Clockwork (1994) \n",
"6698 105.0 8 Some Mother's Son (1996) \n",
"8592 105.0 9 Maya Lin: A Strong Clear Vision (1994) \n",
"7638 105.0 10 Prefontaine (1997) \n",
"98 100.0 1 Great Day in Harlem, A (1994) \n",
"1041 100.0 2 Tough and Deadly (1995) \n",
"1983 100.0 3 Aiqing wansui (1994) \n",
"2925 100.0 4 Delta of Venus (1994) \n",
"3867 100.0 5 Someone Else's America (1995) \n",
"4809 100.0 6 Saint of Fort Washington, The (1993) \n",
"5750 100.0 7 Celestial Clockwork (1994) \n",
"6693 100.0 8 Some Mother's Son (1996) \n",
"8587 100.0 9 Maya Lin: A Strong Clear Vision (1994) \n",
"7633 100.0 10 Prefontaine (1997) \n",
"\n",
" genres \n",
"103 Documentary \n",
"1046 Action, Drama, Thriller \n",
"1988 Drama \n",
"2930 Drama \n",
"3872 Drama \n",
"4814 Drama \n",
"5755 Comedy \n",
"6698 Drama \n",
"8592 Documentary \n",
"7638 Drama "
"98 Documentary \n",
"1041 Action, Drama, Thriller \n",
"1983 Drama \n",
"2925 Drama \n",
"3867 Drama \n",
"4809 Drama \n",
"5750 Comedy \n",
"6693 Drama \n",
"8587 Documentary \n",
"7633 Drama "
]
},
"execution_count": 20,
"execution_count": 15,
"metadata": {},
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}
@ -1576,7 +1576,7 @@
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{
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"execution_count": 16,
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"outputs": [],
"source": [
@ -1588,18 +1588,18 @@
},
{
"cell_type": "code",
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"execution_count": 17,
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"outputs": [
{
"name": "stderr",
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"943it [00:00, 9004.98it/s]\n",
"943it [00:00, 8532.40it/s]\n",
"943it [00:00, 8974.06it/s]\n",
"943it [00:00, 8818.01it/s]\n"
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{
@ -1710,23 +1710,23 @@
" <tr>\n",
" <th>0</th>\n",
" <td>Ready_Random</td>\n",
" <td>1.518964</td>\n",
" <td>1.222159</td>\n",
" <td>0.046554</td>\n",
" <td>0.020603</td>\n",
" <td>0.023679</td>\n",
" <td>0.031216</td>\n",
" <td>0.028970</td>\n",
" <td>0.021179</td>\n",
" <td>0.050489</td>\n",
" <td>0.019185</td>\n",
" <td>0.123856</td>\n",
" <td>0.506812</td>\n",
" <td>0.322375</td>\n",
" <td>0.987805</td>\n",
" <td>0.184704</td>\n",
" <td>5.103172</td>\n",
" <td>0.906873</td>\n",
" <td>1.517787</td>\n",
" <td>1.217953</td>\n",
" <td>0.047826</td>\n",
" <td>0.017861</td>\n",
" <td>0.022711</td>\n",
" <td>0.031080</td>\n",
" <td>0.028219</td>\n",
" <td>0.016982</td>\n",
" <td>0.051154</td>\n",
" <td>0.019551</td>\n",
" <td>0.125693</td>\n",
" <td>0.505448</td>\n",
" <td>0.318134</td>\n",
" <td>0.986426</td>\n",
" <td>0.186869</td>\n",
" <td>5.091730</td>\n",
" <td>0.908288</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
@ -1758,25 +1758,25 @@
"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 1.518964 1.222159 0.046554 0.020603 0.023679 \n",
"0 Ready_Random 1.517787 1.217953 0.047826 0.017861 0.022711 \n",
"0 Self_BaselineUI 0.967585 0.762740 0.000954 0.000170 0.000278 \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 0.041343 0.040558 0.032107 0.067695 0.027470 0.171187 \n",
"0 0.031216 0.028970 0.021179 0.050489 0.019185 0.123856 \n",
"0 0.031080 0.028219 0.016982 0.051154 0.019551 0.125693 \n",
"0 0.000463 0.000644 0.000189 0.000752 0.000168 0.001677 \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 0.509546 0.384942 1.000000 0.025974 2.711772 0.992003 \n",
"0 0.506812 0.322375 0.987805 0.184704 5.103172 0.906873 \n",
"0 0.505448 0.318134 0.986426 0.186869 5.091730 0.908288 \n",
"0 0.496424 0.009544 0.600530 0.005051 1.803126 0.996380 "
]
},
"execution_count": 21,
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}

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@ -209,7 +209,7 @@
"name": "stderr",
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@ -313,12 +313,12 @@
"name": "stderr",
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{
@ -429,23 +429,23 @@
" <tr>\n",
" <th>0</th>\n",
" <td>Ready_Random</td>\n",
" <td>1.518964</td>\n",
" <td>1.222159</td>\n",
" <td>0.046554</td>\n",
" <td>0.020603</td>\n",
" <td>0.023679</td>\n",
" <td>0.031216</td>\n",
" <td>0.028970</td>\n",
" <td>0.021179</td>\n",
" <td>0.050489</td>\n",
" <td>0.019185</td>\n",
" <td>0.123856</td>\n",
" <td>0.506812</td>\n",
" <td>0.322375</td>\n",
" <td>0.987805</td>\n",
" <td>0.184704</td>\n",
" <td>5.103172</td>\n",
" <td>0.906873</td>\n",
" <td>1.517787</td>\n",
" <td>1.217953</td>\n",
" <td>0.047826</td>\n",
" <td>0.017861</td>\n",
" <td>0.022711</td>\n",
" <td>0.031080</td>\n",
" <td>0.028219</td>\n",
" <td>0.016982</td>\n",
" <td>0.051154</td>\n",
" <td>0.019551</td>\n",
" <td>0.125693</td>\n",
" <td>0.505448</td>\n",
" <td>0.318134</td>\n",
" <td>0.986426</td>\n",
" <td>0.186869</td>\n",
" <td>5.091730</td>\n",
" <td>0.908288</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
@ -498,7 +498,7 @@
"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 1.518964 1.222159 0.046554 0.020603 0.023679 \n",
"0 Ready_Random 1.517787 1.217953 0.047826 0.017861 0.022711 \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",
@ -506,7 +506,7 @@
"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 0.031216 0.028970 0.021179 0.050489 0.019185 0.123856 \n",
"0 0.031080 0.028219 0.016982 0.051154 0.019551 0.125693 \n",
"0 0.000463 0.000644 0.000189 0.000752 0.000168 0.001677 \n",
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"\n",
@ -514,7 +514,7 @@
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"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 0.506812 0.322375 0.987805 0.184704 5.103172 0.906873 \n",
"0 0.505448 0.318134 0.986426 0.186869 5.091730 0.908288 \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 "
]
@ -552,7 +552,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 7,
"metadata": {},
"outputs": [
{
@ -590,7 +590,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 8,
"metadata": {},
"outputs": [
{
@ -667,7 +667,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 10,
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"source": [

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@ -11,10 +11,10 @@
"['dimensions: 1, cases when observation is the nearest: 0.0%',\n",
" 'dimensions: 2, cases when observation is the nearest: 0.0%',\n",
" 'dimensions: 3, cases when observation is the nearest: 0.0%',\n",
" 'dimensions: 10, cases when observation is the nearest: 14.000000000000002%',\n",
" 'dimensions: 20, cases when observation is the nearest: 65.0%',\n",
" 'dimensions: 30, cases when observation is the nearest: 100.0%',\n",
" 'dimensions: 40, cases when observation is the nearest: 100.0%',\n",
" 'dimensions: 10, cases when observation is the nearest: 7.000000000000001%',\n",
" 'dimensions: 20, cases when observation is the nearest: 57.99999999999999%',\n",
" 'dimensions: 30, cases when observation is the nearest: 92.0%',\n",
" 'dimensions: 40, cases when observation is the nearest: 99.0%',\n",
" 'dimensions: 50, cases when observation is the nearest: 100.0%',\n",
" 'dimensions: 60, cases when observation is the nearest: 100.0%',\n",
" 'dimensions: 70, cases when observation is the nearest: 100.0%',\n",

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