{
  "id": 366513,
  "title": "🥇Gold Medals: Solutions & Notebooks",
  "url": "/competitions/open-problems-multimodal/discussion/366513",
  "author_name": "Kritdikoon Woraitthinan",
  "post_date": "2022-11-16T13:46:38.645000",
  "votes": 25,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Congratulations to All the Winners And Participants! 👍<br>\nThanks for sharing your great solutions.</p>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Team</th>\n<th>Score</th>\n<th>Solutions</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td>🥇Shuji Suzuki</td>\n<td>0.77569</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961\" target=\"_blank\">📘 Solution</a> <br> <a href=\"https://github.com/shu65/open-problems-multimodal\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>2</td>\n<td>🥈senkin &amp; tmp</td>\n<td>0.77466</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453\" target=\"_blank\">📘 Solution1</a> <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366476\" target=\"_blank\">📘 Solution2</a>  <br> <a href=\"https://www.kaggle.com/code/bejeweled/2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN</a> <a href=\"https://www.kaggle.com/code/senkin13/2nd-place-gru-cite\" target=\"_blank\">📕 Cite GRU</a> <br> <a href=\"https://www.kaggle.com/code/bejeweled/flip-2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN Flip</a>   <a href=\"https://www.kaggle.com/code/bejeweled/rotate-2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN Rotate</a> <br> <a href=\"https://www.kaggle.com/code/bejeweled/rotate-xy-2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN Rotate XY</a>  <br>  <a href=\"https://github.com/senkin13/kaggle/tree/master/Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution\" target=\"_blank\">🔗 Github</a>  <br>  <a href=\"https://github.com/baosenguo/Kaggle-Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>3</td>\n<td>🥉Makotu</td>\n<td>0.77351</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428\" target=\"_blank\">📘 Solution</a> <br> <a href=\"https://www.kaggle.com/datasets/mhyodo/open-problems-models\" target=\"_blank\">📕 models</a> <a href=\"https://www.kaggle.com/datasets/mhyodo/open-problems-features\" target=\"_blank\">📕 features</a> <br> <a href=\"https://github.com/makotu1208/open-problems-multimodal-3rd-solution\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>4</td>\n<td>Oliver Wang</td>\n<td>0.77314</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460\" target=\"_blank\">📘 Solution</a>  <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-ensemble\" target=\"_blank\">📕 Ensemble</a> <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-nn\" target=\"_blank\">📕 Cite NN</a>  <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-ray-tune-krr\" target=\"_blank\">📕 Cite Ray Tune KRR</a>   <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-train\" target=\"_blank\">📕 Cite Stack train</a>  <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-predict\" target=\"_blank\">📕 Cite Stack infer</a>   <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-multioutputlgbm\" target=\"_blank\">📕 Cite LGBM</a> <br>  <a href=\"https://github.com/oliverwang15/4th-Place-Solution-for-Open-Problems-Multimodal-Single-Cell\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>5</td>\n<td>Lucky Shake</td>\n<td>0.77282</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409\" target=\"_blank\">📘 Solution</a> <br>  <a href=\"https://www.kaggle.com/code/qqzzxxdd/5th-solution-ensemble\" target=\"_blank\">📕 Ensemble</a>  <br> <a href=\"https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-data-preprocessing\" target=\"_blank\">📕Multi process</a>  <a href=\"https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-mlp-and-1d-cnn-model\" target=\"_blank\">📕 Multi NLP</a>  <br>  <a href=\"https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-data-preprocessing\" target=\"_blank\">📕Cite Process</a> <a href=\"https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-mlp-training-part-1\" target=\"_blank\">📕Cite NLP</a> <br> <a href=\"https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-lgbm-training\" target=\"_blank\">📕Cite LGBM</a></td>\n</tr>\n<tr>\n<td>6</td>\n<td>[Risk-ZaloPay] Aggressive</td>\n<td>0.77271</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>7</td>\n<td>chromosom</td>\n<td>0.77263</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>8</td>\n<td>vialactea</td>\n<td>0.77214</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366667\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>9</td>\n<td>VHI</td>\n<td>0.77211</td>\n<td></td>\n</tr>\n<tr>\n<td>10</td>\n<td>[Rist]e-toppo</td>\n<td>0.77158</td>\n<td></td>\n</tr>\n<tr>\n<td>11</td>\n<td>Silogram</td>\n<td>0.77158</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366455\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>12</td>\n<td>Q</td>\n<td>0.771556</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366504\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n</tbody>\n</table>\n<p>📘 Solution    📕 Code   🔗 Github<br>\n※ Data will be updated regularly.<br>\n※ Please let me know if I miss out anything or make any mistake.   <br>\n※ Updated: 2022-12-05</p>",
  "messages": [
    {
      "id": 2032221,
      "postDate": "2022-11-16T13:46:38.647Z",
      "content": "<p>Congratulations to All the Winners And Participants! 👍<br>\nThanks for sharing your great solutions.</p>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Team</th>\n<th>Score</th>\n<th>Solutions</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td>🥇Shuji Suzuki</td>\n<td>0.77569</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961\" target=\"_blank\">📘 Solution</a> <br> <a href=\"https://github.com/shu65/open-problems-multimodal\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>2</td>\n<td>🥈senkin &amp; tmp</td>\n<td>0.77466</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453\" target=\"_blank\">📘 Solution1</a> <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366476\" target=\"_blank\">📘 Solution2</a>  <br> <a href=\"https://www.kaggle.com/code/bejeweled/2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN</a> <a href=\"https://www.kaggle.com/code/senkin13/2nd-place-gru-cite\" target=\"_blank\">📕 Cite GRU</a> <br> <a href=\"https://www.kaggle.com/code/bejeweled/flip-2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN Flip</a>   <a href=\"https://www.kaggle.com/code/bejeweled/rotate-2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN Rotate</a> <br> <a href=\"https://www.kaggle.com/code/bejeweled/rotate-xy-2nd-place-cite-2d-cnn\" target=\"_blank\">📕 Cite CNN Rotate XY</a>  <br>  <a href=\"https://github.com/senkin13/kaggle/tree/master/Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution\" target=\"_blank\">🔗 Github</a>  <br>  <a href=\"https://github.com/baosenguo/Kaggle-Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>3</td>\n<td>🥉Makotu</td>\n<td>0.77351</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428\" target=\"_blank\">📘 Solution</a> <br> <a href=\"https://www.kaggle.com/datasets/mhyodo/open-problems-models\" target=\"_blank\">📕 models</a> <a href=\"https://www.kaggle.com/datasets/mhyodo/open-problems-features\" target=\"_blank\">📕 features</a> <br> <a href=\"https://github.com/makotu1208/open-problems-multimodal-3rd-solution\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>4</td>\n<td>Oliver Wang</td>\n<td>0.77314</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460\" target=\"_blank\">📘 Solution</a>  <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-ensemble\" target=\"_blank\">📕 Ensemble</a> <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-nn\" target=\"_blank\">📕 Cite NN</a>  <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-ray-tune-krr\" target=\"_blank\">📕 Cite Ray Tune KRR</a>   <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-train\" target=\"_blank\">📕 Cite Stack train</a>  <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-predict\" target=\"_blank\">📕 Cite Stack infer</a>   <br> <a href=\"https://www.kaggle.com/code/oliverwang15/4th-solution-cite-multioutputlgbm\" target=\"_blank\">📕 Cite LGBM</a> <br>  <a href=\"https://github.com/oliverwang15/4th-Place-Solution-for-Open-Problems-Multimodal-Single-Cell\" target=\"_blank\">🔗 Github</a></td>\n</tr>\n<tr>\n<td>5</td>\n<td>Lucky Shake</td>\n<td>0.77282</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409\" target=\"_blank\">📘 Solution</a> <br>  <a href=\"https://www.kaggle.com/code/qqzzxxdd/5th-solution-ensemble\" target=\"_blank\">📕 Ensemble</a>  <br> <a href=\"https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-data-preprocessing\" target=\"_blank\">📕Multi process</a>  <a href=\"https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-mlp-and-1d-cnn-model\" target=\"_blank\">📕 Multi NLP</a>  <br>  <a href=\"https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-data-preprocessing\" target=\"_blank\">📕Cite Process</a> <a href=\"https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-mlp-training-part-1\" target=\"_blank\">📕Cite NLP</a> <br> <a href=\"https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-lgbm-training\" target=\"_blank\">📕Cite LGBM</a></td>\n</tr>\n<tr>\n<td>6</td>\n<td>[Risk-ZaloPay] Aggressive</td>\n<td>0.77271</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>7</td>\n<td>chromosom</td>\n<td>0.77263</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>8</td>\n<td>vialactea</td>\n<td>0.77214</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366667\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>9</td>\n<td>VHI</td>\n<td>0.77211</td>\n<td></td>\n</tr>\n<tr>\n<td>10</td>\n<td>[Rist]e-toppo</td>\n<td>0.77158</td>\n<td></td>\n</tr>\n<tr>\n<td>11</td>\n<td>Silogram</td>\n<td>0.77158</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366455\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n<tr>\n<td>12</td>\n<td>Q</td>\n<td>0.771556</td>\n<td><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366504\" target=\"_blank\">📘 Solution</a></td>\n</tr>\n</tbody>\n</table>\n<p>📘 Solution    📕 Code   🔗 Github<br>\n※ Data will be updated regularly.<br>\n※ Please let me know if I miss out anything or make any mistake.   <br>\n※ Updated: 2022-12-05</p>",
      "rawMarkdown": "Congratulations to All the Winners And Participants! 👍\nThanks for sharing your great solutions.\n\n\n| Rank | Team | Score | Solutions | \n| :---: | :---: | :---: | \n| 1 | 🥇Shuji Suzuki | 0.77569   |   [📘 Solution] (https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961) <br> [🔗 Github] (https://github.com/shu65/open-problems-multimodal)  | \n| 2 | 🥈senkin & tmp | 0.77466   | [📘 Solution1] (https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453) [📘 Solution2](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366476)  <br> [📕 Cite CNN](https://www.kaggle.com/code/bejeweled/2nd-place-cite-2d-cnn) [📕 Cite GRU] (https://www.kaggle.com/code/senkin13/2nd-place-gru-cite) <br> [📕 Cite CNN Flip](https://www.kaggle.com/code/bejeweled/flip-2nd-place-cite-2d-cnn)   [📕 Cite CNN Rotate](https://www.kaggle.com/code/bejeweled/rotate-2nd-place-cite-2d-cnn) <br> [📕 Cite CNN Rotate XY](https://www.kaggle.com/code/bejeweled/rotate-xy-2nd-place-cite-2d-cnn)  <br>  [🔗 Github] (https://github.com/senkin13/kaggle/tree/master/Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution)  <br>  [🔗 Github] (https://github.com/baosenguo/Kaggle-Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution) | \n| 3| 🥉Makotu | 0.77351  |  [📘 Solution] (https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428) <br> [📕 models](https://www.kaggle.com/datasets/mhyodo/open-problems-models) [📕 features](https://www.kaggle.com/datasets/mhyodo/open-problems-features) <br> [🔗 Github] (https://github.com/makotu1208/open-problems-multimodal-3rd-solution)  | \n| 4| Oliver Wang  | 0.77314  |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460)  <br> [📕 Ensemble](https://www.kaggle.com/code/oliverwang15/4th-solution-ensemble) <br> [📕 Cite NN](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-nn)  [📕 Cite Ray Tune KRR](https://www.kaggle.com/code/oliverwang15/4th-solution-ray-tune-krr)   <br> [📕 Cite Stack train](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-train)  [📕 Cite Stack infer](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-predict)   <br> [📕 Cite LGBM](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-multioutputlgbm) <br>  [🔗 Github] (https://github.com/oliverwang15/4th-Place-Solution-for-Open-Problems-Multimodal-Single-Cell)  | \n| 5 | Lucky Shake  | 0.77282  |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409) <br>  [📕 Ensemble](https://www.kaggle.com/code/qqzzxxdd/5th-solution-ensemble)  <br> [📕Multi process](https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-data-preprocessing)  [📕 Multi NLP]  (https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-mlp-and-1d-cnn-model)  <br>  [📕Cite Process](https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-data-preprocessing) [📕Cite NLP](https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-mlp-training-part-1) <br> [📕Cite LGBM] (https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-lgbm-training)| \n| 6 | [Risk-ZaloPay] Aggressive  | 0.77271  |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417)  | \n| 7 | chromosom | 0.77263  |  [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471)   | \n| 8 | vialactea |  0.77214 |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366667)  | \n| 9 | VHI  | 0.77211 |    | \n| 10 | [Rist]e-toppo  | 0.77158 |     | \n| 11 | Silogram | 0.77158 |    [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366455) | \n| 12 | Q  | 0.771556 |  [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366504)  | \n\n\n\n📘 Solution    📕 Code   🔗 Github\n※ Data will be updated regularly.\n※ Please let me know if I miss out anything or make any mistake.   \n※ Updated: 2022-12-05",
      "votes": 24
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2032221": "Congratulations to All the Winners And Participants! 👍\nThanks for sharing your great solutions.\n\n\n| Rank | Team | Score | Solutions | \n| :---: | :---: | :---: | \n| 1 | 🥇Shuji Suzuki | 0.77569   |   [📘 Solution] (https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961) <br> [🔗 Github] (https://github.com/shu65/open-problems-multimodal)  | \n| 2 | 🥈senkin & tmp | 0.77466   | [📘 Solution1] (https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453) [📘 Solution2](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366476)  <br> [📕 Cite CNN](https://www.kaggle.com/code/bejeweled/2nd-place-cite-2d-cnn) [📕 Cite GRU] (https://www.kaggle.com/code/senkin13/2nd-place-gru-cite) <br> [📕 Cite CNN Flip](https://www.kaggle.com/code/bejeweled/flip-2nd-place-cite-2d-cnn)   [📕 Cite CNN Rotate](https://www.kaggle.com/code/bejeweled/rotate-2nd-place-cite-2d-cnn) <br> [📕 Cite CNN Rotate XY](https://www.kaggle.com/code/bejeweled/rotate-xy-2nd-place-cite-2d-cnn)  <br>  [🔗 Github] (https://github.com/senkin13/kaggle/tree/master/Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution)  <br>  [🔗 Github] (https://github.com/baosenguo/Kaggle-Open-Problems-Multimodal-Single-Cell-Integration-2nd-Place-Solution) | \n| 3| 🥉Makotu | 0.77351  |  [📘 Solution] (https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428) <br> [📕 models](https://www.kaggle.com/datasets/mhyodo/open-problems-models) [📕 features](https://www.kaggle.com/datasets/mhyodo/open-problems-features) <br> [🔗 Github] (https://github.com/makotu1208/open-problems-multimodal-3rd-solution)  | \n| 4| Oliver Wang  | 0.77314  |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460)  <br> [📕 Ensemble](https://www.kaggle.com/code/oliverwang15/4th-solution-ensemble) <br> [📕 Cite NN](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-nn)  [📕 Cite Ray Tune KRR](https://www.kaggle.com/code/oliverwang15/4th-solution-ray-tune-krr)   <br> [📕 Cite Stack train](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-train)  [📕 Cite Stack infer](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-stacking-predict)   <br> [📕 Cite LGBM](https://www.kaggle.com/code/oliverwang15/4th-solution-cite-multioutputlgbm) <br>  [🔗 Github] (https://github.com/oliverwang15/4th-Place-Solution-for-Open-Problems-Multimodal-Single-Cell)  | \n| 5 | Lucky Shake  | 0.77282  |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409) <br>  [📕 Ensemble](https://www.kaggle.com/code/qqzzxxdd/5th-solution-ensemble)  <br> [📕Multi process](https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-data-preprocessing)  [📕 Multi NLP]  (https://www.kaggle.com/code/qqzzxxdd/multi-5th-solution-mlp-and-1d-cnn-model)  <br>  [📕Cite Process](https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-data-preprocessing) [📕Cite NLP](https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-mlp-training-part-1) <br> [📕Cite LGBM] (https://www.kaggle.com/code/qqzzxxdd/cite-5th-solution-lgbm-training)| \n| 6 | [Risk-ZaloPay] Aggressive  | 0.77271  |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417)  | \n| 7 | chromosom | 0.77263  |  [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471)   | \n| 8 | vialactea |  0.77214 |   [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366667)  | \n| 9 | VHI  | 0.77211 |    | \n| 10 | [Rist]e-toppo  | 0.77158 |     | \n| 11 | Silogram | 0.77158 |    [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366455) | \n| 12 | Q  | 0.771556 |  [📘 Solution](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366504)  | \n\n\n\n📘 Solution    📕 Code   🔗 Github\n※ Data will be updated regularly.\n※ Please let me know if I miss out anything or make any mistake.   \n※ Updated: 2022-12-05"
  }
}