{
  "id": 348311,
  "title": "​Лѣтописъ​: regular chronicles of the competition:  state of arts, successes, findings, problems - all you wanted to know in one post ",
  "url": "/competitions/open-problems-multimodal/discussion/348311",
  "author_name": "Alexander Chervov",
  "post_date": "2022-08-27T20:58:51.420000",
  "votes": 51,
  "comment_count": 21,
  "views": 0,
  "content": "<p>Welcome to add your findings in comments here.</p>\n<p>That is was great and hard competition ! Thanks to organizers and congratulations to everybody who gained prizes/medals/experience/fun… ! </p>\n<p><strong>Day 93 15/11</strong> no change: LB 0.816  Public: 0.812  - the last day of the competition<br>\n<strong>Day 92 14/11</strong> no change: LB 0.816  Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)<br>\n<strong>Day 91, 13/11</strong> no change: LB 0.816  Public: 0.812 (The fight is very tough top2-5 positions are quite interchanging,<br>\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: <a href=\"https://t.me/sberlogacompete/3232\" target=\"_blank\">https://t.me/sberlogacompete/3232</a> )<br>\n<strong>Day 90, 12/11</strong> no change: LB 0.816  Public: 0.812 <br>\n(The fight for the top2-3 places is very tough - positions were changed several times per day;<br>\nTeams: [Kha|MT|B|Ambros], [Risk-ZaloPay] Aggressive, [Protein Shake]. 5 Teams above 0.815, 23 teams above 0.814 )<br>\n<strong>Day 88, 10/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 87, 9/11</strong>  <strong>!!! Breakthrough LB 0.816 !!!</strong>   Public: 0.812  (Senkin&amp;tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )<br>\n<strong>Day 86, 8/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 85, 7/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 84, 6/11</strong> no change: LB 0.815  Public: 0.812+ (<a href=\"https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq\" target=\"_blank\">New top public blend appeared</a>, but still 0.812. Above 0.814 - 19 teams) <br>\n<strong>Day 83, 5/11</strong> no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)<br>\n<strong>Day 82, 4/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 81, 3/11</strong> no change: LB 0.815  Public: 0.812 (Dream teamed formed - Senkin13&amp;\"tmp\", top boosting and top NN joined together, any one can beat them ?)<br>\n(By the way - at the early days of the competition in was written here - look on \"tmp's\"' solution and github: <br>\n(<a href=\"https://www.kaggle.com/competitions/lish-moa/discussion/202256)\" target=\"_blank\">https://www.kaggle.com/competitions/lish-moa/discussion/202256)</a>. It is not too late even now ).<br>\n<strong>Day 80, 2/11</strong> no change: LB 0.815  Public: 0.812 (The first time top1 changed - \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) <br>\n<strong>Day 79, 1/11</strong> no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )<br>\n<strong>Day 78, 31/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 77, 30/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 76, 29/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 75, 28/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 74, 27/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 73, 26/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 72, 25/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 71, 24/10</strong> no change: LB 0.815  Public: 0.812  (6 teams above 0.814)<br>\n<strong>Day 70, 23/10</strong> no change: LB 0.815  Public: 0.812 (5 teams above 0.814)<br>\n<strong>Day 69, 22/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 68, 21/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 67, 20/10</strong>  no change: LB 0.815  Public: 0.812 , 4-th team achieved 0.814 on LB - \"<br>\nHow to predict Citeseq\"  (user: \"A Beginner\") E238 - Position 4. <br>\n<strong>Day 66, 19/10</strong>  <strong>!!! Breakthrough  LB 0.815</strong> - Senkin13 E55 Public: 0.812 (After 30 days of 0.814 on LB and release of the new data - finally 0.815)  <br>\n<strong>Day 65, 18/10</strong> LB 0.814  Public increase: 0.812; The third team achieved 0.814 on LB - \"Protein Shake\" E124. Public 0.812:   ( MEHRAN KAZEMINIA <a href=\"https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq\" target=\"_blank\">Blend achieved 0.812</a>)  and another: <a href=\"https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras\" target=\"_blank\">0.812 LAURENT POURCHOT</a><br>\n<strong>Day 64, 17/10</strong> no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 63, 16/10</strong> no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 62, 15/10</strong> no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 61, 14/10</strong>  LB 0.814 (Senkin13 E48 - no change) ; small  change for public top: : 0.811 (New top public: <a href=\"https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5\" target=\"_blank\">0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. </a>.<br>\nThe second team reached 0.814: definitelynot KhaVo+MT<br>\n<strong>Day 60, 13/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 59, 12/10</strong>  no change: LB 0.814  Public: 0.811 . <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\" target=\"_blank\">New data has been issued. </a> <br>\n<strong>Day 58, 11/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 57, 10/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 56, 9/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 55, 8/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 54, 7/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 53, 6/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 52, 5/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 51, 4/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 50, 3/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 49, 2/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 47, 1/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 46, 30/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 45, 29/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 44, 28/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 43, 27/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 42, 26/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 41, 25/09</strong>  no change: LB 0.814  Public: 0.811 ( MT E81 and AmbrosM  achieved 0.812 E38 - Top2 and Top4)  <br>\n<strong>Day 40, 24/09</strong>  no change: LB 0.814  Public: 0.811  <br>\n<strong>Day 39, 23/09</strong>  no change: LB 0.814  Public: 0.811  <br>\n<strong>Day 38, 22/09</strong>  no change: LB 0.814  Public: 0.811  <br>\n<strong>Day 37, 21/09</strong>  no change: LB 0.814  Public: 0.811 (Magnus achieved 0.812 = Top3) <br>\n<strong>Day 36, 20/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 35, 19/09</strong>  <strong>!!! Breakthrough LB 0.814 !!!</strong>LB 0.814 (Finally senkin13 achieved 0.814 E27) Public: 0.811 <br>\n<strong>Day 34, 18/09</strong>  LB 0.813+ Public: 0.811 (new , a little better score, but less blend - <a href=\"https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble\" target=\"_blank\">Keras + Catboost + some blend</a>)<br>\n<strong>Day 33, 17/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 32, 16/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 31, 15/09</strong> no change: LB 0.813 Public: 0.811 (Silogram achieved 0.813 E41 , and became N2) <br>\n<strong>Day 30, 14/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 29, 13/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 28, 12/09</strong>  no change: LB 0.813 Public: 0.811<br>\n<strong>Day 27, 11/09</strong>  no change: LB 0.813 Public: 0.811<br>\n<strong>Day 26, 10/09</strong>  no change: LB 0.813 Public: 0.811<br>\n<strong>Day 25, 09/09</strong> Rescoring process finished (hopefully). The top of LB is basically the same: senkin13: 0.813<br>\n15, Btbpanda 0.812 25, Mustafa Keser 0.812 79, Silogram 0.812 39. About 0.048 below the old one. <a href=\"https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966\" target=\"_blank\">Top public: 0.811</a> <br>\n<strong>Day 24, 08/09</strong> Rescoring process not finished yet (restarted)<br>\n<strong>Day 23, 07/09</strong> <strong><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933\" target=\"_blank\">Data Update and Rescore - exclude data leak</a>. SCORES CHANGE approximately by 0.048 down</strong><br>\n<strong>Day 22, 06/09</strong> LB 0.860 (Btbpanda E25). Public: 0.858 Several. (S: 0.860 35, AC: 0.858 43, AV 0.860 25 S13 0.859 11)<br>\n<strong>Day 21, 05/09</strong> LB 0.860 (Btbpanda E24). Public: 0.858 Several. (S: 0.859 32, AC: 0.858 42, AV 0.860 24 S13 0.859 11)<br>\n<strong>Day 20, 04/09</strong> LB 0.860 (Mustafa Keser E54). Public: 0.858 <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart\" target=\"_blank\">CITEseq Keras</a> (AMBROSM) (S: 0.859 27, AC: 0.857 36, AV 0.859 22 S13 0.859 8)<br>\n<strong>Day 19, 03/09</strong> LB 0.859 (Btbpanda, E19).  Public: 0.853 <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">AMBROSM</a>.   Some scores S 0.859, 27, AC 0.855 31, S13 0.854 4<br>\n<strong>Day 18, 02/09</strong> LB Same.  Public: 0.848 (<a href=\"https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32\" target=\"_blank\">Similar to previous top public </a>) (J. S. Perera).   Some scores S: 0.856, 22, AC: 0.850 27<br>\n <strong>Day 17, 01/09</strong> NO change.  Some scores S: 0.848 17, AC: 0.849 24 <br>\n<strong>Day 16, 31/08</strong> LB: 0.858 (minhtu.mt.mt, E30),  Public:  0.847 <a href=\"https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices\" target=\"_blank\">(PCA+RIDGE on Multiome made Sparse)</a> FABIEN CROM<br>\n<strong>Day 15, 30/08</strong> LB: 0.855 (Jie Wu, E27), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)<br>\n<strong>Day 14, 29/08</strong> same: LB: 0.854 (E25), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)<br>\n<strong>Day 13, 28/08</strong> LB: 0.854 (E25), Public:  same :  0.834 (LGBM+Optuna+Drop Const)<br>\n<strong>Day 12, 27/08</strong> LB: 0.848 (E12), Public: 0.834 (LGBM+Optuna+Drop Const)</p>\n<ul>\n<li><strong>New data</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\" target=\"_blank\">New data has been issued. </a></li>\n</ul>\n<p>==</p>\n<ul>\n<li><strong>Feature Engineering</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359683\" target=\"_blank\">Feature shop for you - lots of engineered features by dimensional reduction and clustering</a><br>\n-- Similar for Multiome - <a href=\"https://www.kaggle.com/datasets/stasborodynkin/feature-shop-for-mmscel-multiome\" target=\"_blank\">https://www.kaggle.com/datasets/stasborodynkin/feature-shop-for-mmscel-multiome</a></li>\n<li><strong>Publics:</strong> <br>\n--  06 11 2002: <a href=\"https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq\" target=\"_blank\">New top public blend appeared</a>, but still 0.812<br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359866\" target=\"_blank\">Useful discussion on models, MLP, Keras-NN, Catboost</a><br>\n-- <a href=\"https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq\" target=\"_blank\">0.812MEHRAN KAZEMINIA </a><br>\n-- <a href=\"https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras\" target=\"_blank\">0.812 LAURENT POURCHOT</a><br>\n-- <a href=\"https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5\" target=\"_blank\">0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. </a><br>\n-- <a href=\"https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble\" target=\"_blank\">0.811+ LAURENT POURCHOT Keras + Catboost + some blend</a><br>\n-- <a href=\"https://www.kaggle.com/code/josecarmona/msci22-keep-in-mind-2in1/notebook?scriptVersionId=105880791\" target=\"_blank\">0.811 JOSE CARMONA idea - be careful with blend - look separately Multiome and CITEseq</a> <br>\n-- <a href=\"https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966\" target=\"_blank\">0.811 VLADIMIR SLAYKOVSKIY Normalized Ensembles </a> <br>\n-- 0.81 <a href=\"https://www.kaggle.com/code/sskknt/msci-citeseq-keras-quickstart-dropout/notebook?scriptVersionId=105219293\" target=\"_blank\">Citeseq: TrancSVD-&gt;Keras Dense 4Layers with Dropout (with tune params by KerasTuner); Multiome: CatBoost by XiaFire</a><br>\n-- 0.81 <a href=\"https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor\" target=\"_blank\">CATboost-regressor Multiome</a><br>\n-- 0.807 <a href=\"https://www.kaggle.com/code/tamaryo/lb-0-805-citeseq-tabnet-baseline\" target=\"_blank\">TabNet on CITEseq ; on Multiome not the best solution</a><br>\n-- (0.858old) <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart\" target=\"_blank\">CITEseq Keras</a> (AMBROSM)<br>\n--  0.803 (0.853old) <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">AMBROSM</a> - merge LGBM on CITEseq with PCA+RIDGE on Multiome <br>\n-- (0.848old) (<a href=\"https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32\" target=\"_blank\">Similar to previous top public </a>) (J. S. Perera).<br>\n--  0.803 (0.847old) <a href=\"https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices\" target=\"_blank\">(PCA+RIDGE on Multiome made Sparse)</a> FABIEN CROM<br>\n--  0.794 (0.83, 0834old) - <a href=\"https://www.kaggle.com/code/vuonglam/lgbm-baseline-optuna-drop-constant-cite-task\" target=\"_blank\">LGBM+Optuna on CiteSeq</a><br>\n-- 0.792  <a href=\"https://www.kaggle.com/code/swimmy/lgbm-baseline-msci-citeseq\" target=\"_blank\"> SWIMMY【LGBM Baseline】MSCI CITEseq</a><br>\n-- (0.824old) - <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">LGBM  on CiteSeq</a><br>\n-- (0.814old) - <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">PCA+Ridge on CiteSeq</a><br>\n-- (0.741old) - <a href=\"https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id\" target=\"_blank\">Just averages</a></li>\n<li><strong>Postprocessing:</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/349132\" target=\"_blank\">Normalize to 1e6 etc</a> </li>\n<li><strong>Data Tricks:</strong><br>\n-- Conversion to sparse of multiome data - now it fits kaggle RAM (<a href=\"https://www.kaggle.com/code/sbunzini/reduce-memory-usage-by-95-with-sparse-matrices\" target=\"_blank\">Notebook</a>)</li>\n<li><strong>Technology:</strong><br>\n-- Saturn cloud with big RAM is accessible</li>\n<li><strong>Problems:</strong> <br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933#1931702\" target=\"_blank\">Newly provided \"test\" file contain more features</a> and see  <a href=\"https://www.kaggle.com/code/erivanoliveirajr/multimodal-single-cell-integration/data\" target=\"_blank\">also</a><br>\n--  <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347890\" target=\"_blank\">Data Lick found (resolved 23-25.09)</a><br>\n--  <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347202\" target=\"_blank\">Shake-up inevitable</a></li>\n<li><strong>Related research</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351038\" target=\"_blank\">Collection of links to papers, videos, etc </a></li>\n<li><strong>Strange things:</strong> <br>\n-- Negative values in protein measurements. Organizers: <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/346210\" target=\"_blank\">\"I agree this is weird! \" </a></li>\n<li><strong>Soft Questions:</strong> <br>\n-- Why just average  solution gives such high score ? Seems answer - variation of targets around mean is not big, mean is easily predictable  </li>\n<li><strong>Suggestions:</strong> <br>\n-- It is multitarget, so we need neural networks, might look at MoA examples e.g. nice <a href=\"https://www.kaggle.com/competitions/lish-moa/discussion/202256\" target=\"_blank\">top2</a>: </li>\n<li><strong>Events:</strong> <br>\n-- Introductory lectures related to Kaggle and Biology are planned: see <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348661\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348661</a></li>\n<li><strong>Biology:</strong> <br>\n-- Super cool ! <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761\" target=\"_blank\">Donors - 3 men and 1 woman</a> (by Y chromosome in ATAC-seq data) <br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348117\" target=\"_blank\">Nice UMAP</a> figures, day 3|HSC - outlier. Why ? What is going on ?  Differentiation ? But why it disappears on day 4 ? Something unclear is here<br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761\" target=\"_blank\">Details on biological processing</a><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350314\" target=\"_blank\">Cell proliferation cycle analysis</a><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351725\" target=\"_blank\">Analysis of correlations and some findings</a><br>\n-- Seems ATAC-seq it is not really changing <a href=\"https://www.kaggle.com/code/norifumiirie/heatmap-of-multiome-data?scriptVersionId=105460251&amp;cellId=30\" target=\"_blank\">Heatmap of ATAC-seq</a> and same <a href=\"https://www.kaggle.com/alexandervc/heatmap-of-atac-seq-multiome-data\" target=\"_blank\">by chromosome</a></li>\n</ul>",
  "messages": [
    {
      "id": 1916402,
      "postDate": "2022-08-27T20:58:51.420Z",
      "content": "<p>Welcome to add your findings in comments here.</p>\n<p>That is was great and hard competition ! Thanks to organizers and congratulations to everybody who gained prizes/medals/experience/fun… ! </p>\n<p><strong>Day 93 15/11</strong> no change: LB 0.816  Public: 0.812  - the last day of the competition<br>\n<strong>Day 92 14/11</strong> no change: LB 0.816  Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)<br>\n<strong>Day 91, 13/11</strong> no change: LB 0.816  Public: 0.812 (The fight is very tough top2-5 positions are quite interchanging,<br>\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: <a href=\"https://t.me/sberlogacompete/3232\" target=\"_blank\">https://t.me/sberlogacompete/3232</a> )<br>\n<strong>Day 90, 12/11</strong> no change: LB 0.816  Public: 0.812 <br>\n(The fight for the top2-3 places is very tough - positions were changed several times per day;<br>\nTeams: [Kha|MT|B|Ambros], [Risk-ZaloPay] Aggressive, [Protein Shake]. 5 Teams above 0.815, 23 teams above 0.814 )<br>\n<strong>Day 88, 10/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 87, 9/11</strong>  <strong>!!! Breakthrough LB 0.816 !!!</strong>   Public: 0.812  (Senkin&amp;tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )<br>\n<strong>Day 86, 8/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 85, 7/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 84, 6/11</strong> no change: LB 0.815  Public: 0.812+ (<a href=\"https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq\" target=\"_blank\">New top public blend appeared</a>, but still 0.812. Above 0.814 - 19 teams) <br>\n<strong>Day 83, 5/11</strong> no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)<br>\n<strong>Day 82, 4/11</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 81, 3/11</strong> no change: LB 0.815  Public: 0.812 (Dream teamed formed - Senkin13&amp;\"tmp\", top boosting and top NN joined together, any one can beat them ?)<br>\n(By the way - at the early days of the competition in was written here - look on \"tmp's\"' solution and github: <br>\n(<a href=\"https://www.kaggle.com/competitions/lish-moa/discussion/202256)\" target=\"_blank\">https://www.kaggle.com/competitions/lish-moa/discussion/202256)</a>. It is not too late even now ).<br>\n<strong>Day 80, 2/11</strong> no change: LB 0.815  Public: 0.812 (The first time top1 changed - \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) <br>\n<strong>Day 79, 1/11</strong> no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )<br>\n<strong>Day 78, 31/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 77, 30/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 76, 29/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 75, 28/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 74, 27/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 73, 26/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 72, 25/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 71, 24/10</strong> no change: LB 0.815  Public: 0.812  (6 teams above 0.814)<br>\n<strong>Day 70, 23/10</strong> no change: LB 0.815  Public: 0.812 (5 teams above 0.814)<br>\n<strong>Day 69, 22/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 68, 21/10</strong> no change: LB 0.815  Public: 0.812<br>\n<strong>Day 67, 20/10</strong>  no change: LB 0.815  Public: 0.812 , 4-th team achieved 0.814 on LB - \"<br>\nHow to predict Citeseq\"  (user: \"A Beginner\") E238 - Position 4. <br>\n<strong>Day 66, 19/10</strong>  <strong>!!! Breakthrough  LB 0.815</strong> - Senkin13 E55 Public: 0.812 (After 30 days of 0.814 on LB and release of the new data - finally 0.815)  <br>\n<strong>Day 65, 18/10</strong> LB 0.814  Public increase: 0.812; The third team achieved 0.814 on LB - \"Protein Shake\" E124. Public 0.812:   ( MEHRAN KAZEMINIA <a href=\"https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq\" target=\"_blank\">Blend achieved 0.812</a>)  and another: <a href=\"https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras\" target=\"_blank\">0.812 LAURENT POURCHOT</a><br>\n<strong>Day 64, 17/10</strong> no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 63, 16/10</strong> no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 62, 15/10</strong> no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 61, 14/10</strong>  LB 0.814 (Senkin13 E48 - no change) ; small  change for public top: : 0.811 (New top public: <a href=\"https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5\" target=\"_blank\">0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. </a>.<br>\nThe second team reached 0.814: definitelynot KhaVo+MT<br>\n<strong>Day 60, 13/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 59, 12/10</strong>  no change: LB 0.814  Public: 0.811 . <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\" target=\"_blank\">New data has been issued. </a> <br>\n<strong>Day 58, 11/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 57, 10/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 56, 9/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 55, 8/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 54, 7/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 53, 6/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 52, 5/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 51, 4/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 50, 3/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 49, 2/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 47, 1/10</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 46, 30/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 45, 29/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 44, 28/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 43, 27/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 42, 26/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 41, 25/09</strong>  no change: LB 0.814  Public: 0.811 ( MT E81 and AmbrosM  achieved 0.812 E38 - Top2 and Top4)  <br>\n<strong>Day 40, 24/09</strong>  no change: LB 0.814  Public: 0.811  <br>\n<strong>Day 39, 23/09</strong>  no change: LB 0.814  Public: 0.811  <br>\n<strong>Day 38, 22/09</strong>  no change: LB 0.814  Public: 0.811  <br>\n<strong>Day 37, 21/09</strong>  no change: LB 0.814  Public: 0.811 (Magnus achieved 0.812 = Top3) <br>\n<strong>Day 36, 20/09</strong>  no change: LB 0.814  Public: 0.811 <br>\n<strong>Day 35, 19/09</strong>  <strong>!!! Breakthrough LB 0.814 !!!</strong>LB 0.814 (Finally senkin13 achieved 0.814 E27) Public: 0.811 <br>\n<strong>Day 34, 18/09</strong>  LB 0.813+ Public: 0.811 (new , a little better score, but less blend - <a href=\"https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble\" target=\"_blank\">Keras + Catboost + some blend</a>)<br>\n<strong>Day 33, 17/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 32, 16/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 31, 15/09</strong> no change: LB 0.813 Public: 0.811 (Silogram achieved 0.813 E41 , and became N2) <br>\n<strong>Day 30, 14/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 29, 13/09</strong> no change: LB 0.813 Public: 0.811<br>\n<strong>Day 28, 12/09</strong>  no change: LB 0.813 Public: 0.811<br>\n<strong>Day 27, 11/09</strong>  no change: LB 0.813 Public: 0.811<br>\n<strong>Day 26, 10/09</strong>  no change: LB 0.813 Public: 0.811<br>\n<strong>Day 25, 09/09</strong> Rescoring process finished (hopefully). The top of LB is basically the same: senkin13: 0.813<br>\n15, Btbpanda 0.812 25, Mustafa Keser 0.812 79, Silogram 0.812 39. About 0.048 below the old one. <a href=\"https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966\" target=\"_blank\">Top public: 0.811</a> <br>\n<strong>Day 24, 08/09</strong> Rescoring process not finished yet (restarted)<br>\n<strong>Day 23, 07/09</strong> <strong><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933\" target=\"_blank\">Data Update and Rescore - exclude data leak</a>. SCORES CHANGE approximately by 0.048 down</strong><br>\n<strong>Day 22, 06/09</strong> LB 0.860 (Btbpanda E25). Public: 0.858 Several. (S: 0.860 35, AC: 0.858 43, AV 0.860 25 S13 0.859 11)<br>\n<strong>Day 21, 05/09</strong> LB 0.860 (Btbpanda E24). Public: 0.858 Several. (S: 0.859 32, AC: 0.858 42, AV 0.860 24 S13 0.859 11)<br>\n<strong>Day 20, 04/09</strong> LB 0.860 (Mustafa Keser E54). Public: 0.858 <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart\" target=\"_blank\">CITEseq Keras</a> (AMBROSM) (S: 0.859 27, AC: 0.857 36, AV 0.859 22 S13 0.859 8)<br>\n<strong>Day 19, 03/09</strong> LB 0.859 (Btbpanda, E19).  Public: 0.853 <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">AMBROSM</a>.   Some scores S 0.859, 27, AC 0.855 31, S13 0.854 4<br>\n<strong>Day 18, 02/09</strong> LB Same.  Public: 0.848 (<a href=\"https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32\" target=\"_blank\">Similar to previous top public </a>) (J. S. Perera).   Some scores S: 0.856, 22, AC: 0.850 27<br>\n <strong>Day 17, 01/09</strong> NO change.  Some scores S: 0.848 17, AC: 0.849 24 <br>\n<strong>Day 16, 31/08</strong> LB: 0.858 (minhtu.mt.mt, E30),  Public:  0.847 <a href=\"https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices\" target=\"_blank\">(PCA+RIDGE on Multiome made Sparse)</a> FABIEN CROM<br>\n<strong>Day 15, 30/08</strong> LB: 0.855 (Jie Wu, E27), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)<br>\n<strong>Day 14, 29/08</strong> same: LB: 0.854 (E25), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)<br>\n<strong>Day 13, 28/08</strong> LB: 0.854 (E25), Public:  same :  0.834 (LGBM+Optuna+Drop Const)<br>\n<strong>Day 12, 27/08</strong> LB: 0.848 (E12), Public: 0.834 (LGBM+Optuna+Drop Const)</p>\n<ul>\n<li><strong>New data</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\" target=\"_blank\">New data has been issued. </a></li>\n</ul>\n<p>==</p>\n<ul>\n<li><strong>Feature Engineering</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359683\" target=\"_blank\">Feature shop for you - lots of engineered features by dimensional reduction and clustering</a><br>\n-- Similar for Multiome - <a href=\"https://www.kaggle.com/datasets/stasborodynkin/feature-shop-for-mmscel-multiome\" target=\"_blank\">https://www.kaggle.com/datasets/stasborodynkin/feature-shop-for-mmscel-multiome</a></li>\n<li><strong>Publics:</strong> <br>\n--  06 11 2002: <a href=\"https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq\" target=\"_blank\">New top public blend appeared</a>, but still 0.812<br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359866\" target=\"_blank\">Useful discussion on models, MLP, Keras-NN, Catboost</a><br>\n-- <a href=\"https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq\" target=\"_blank\">0.812MEHRAN KAZEMINIA </a><br>\n-- <a href=\"https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras\" target=\"_blank\">0.812 LAURENT POURCHOT</a><br>\n-- <a href=\"https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5\" target=\"_blank\">0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. </a><br>\n-- <a href=\"https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble\" target=\"_blank\">0.811+ LAURENT POURCHOT Keras + Catboost + some blend</a><br>\n-- <a href=\"https://www.kaggle.com/code/josecarmona/msci22-keep-in-mind-2in1/notebook?scriptVersionId=105880791\" target=\"_blank\">0.811 JOSE CARMONA idea - be careful with blend - look separately Multiome and CITEseq</a> <br>\n-- <a href=\"https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966\" target=\"_blank\">0.811 VLADIMIR SLAYKOVSKIY Normalized Ensembles </a> <br>\n-- 0.81 <a href=\"https://www.kaggle.com/code/sskknt/msci-citeseq-keras-quickstart-dropout/notebook?scriptVersionId=105219293\" target=\"_blank\">Citeseq: TrancSVD-&gt;Keras Dense 4Layers with Dropout (with tune params by KerasTuner); Multiome: CatBoost by XiaFire</a><br>\n-- 0.81 <a href=\"https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor\" target=\"_blank\">CATboost-regressor Multiome</a><br>\n-- 0.807 <a href=\"https://www.kaggle.com/code/tamaryo/lb-0-805-citeseq-tabnet-baseline\" target=\"_blank\">TabNet on CITEseq ; on Multiome not the best solution</a><br>\n-- (0.858old) <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart\" target=\"_blank\">CITEseq Keras</a> (AMBROSM)<br>\n--  0.803 (0.853old) <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">AMBROSM</a> - merge LGBM on CITEseq with PCA+RIDGE on Multiome <br>\n-- (0.848old) (<a href=\"https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32\" target=\"_blank\">Similar to previous top public </a>) (J. S. Perera).<br>\n--  0.803 (0.847old) <a href=\"https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices\" target=\"_blank\">(PCA+RIDGE on Multiome made Sparse)</a> FABIEN CROM<br>\n--  0.794 (0.83, 0834old) - <a href=\"https://www.kaggle.com/code/vuonglam/lgbm-baseline-optuna-drop-constant-cite-task\" target=\"_blank\">LGBM+Optuna on CiteSeq</a><br>\n-- 0.792  <a href=\"https://www.kaggle.com/code/swimmy/lgbm-baseline-msci-citeseq\" target=\"_blank\"> SWIMMY【LGBM Baseline】MSCI CITEseq</a><br>\n-- (0.824old) - <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">LGBM  on CiteSeq</a><br>\n-- (0.814old) - <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">PCA+Ridge on CiteSeq</a><br>\n-- (0.741old) - <a href=\"https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id\" target=\"_blank\">Just averages</a></li>\n<li><strong>Postprocessing:</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/349132\" target=\"_blank\">Normalize to 1e6 etc</a> </li>\n<li><strong>Data Tricks:</strong><br>\n-- Conversion to sparse of multiome data - now it fits kaggle RAM (<a href=\"https://www.kaggle.com/code/sbunzini/reduce-memory-usage-by-95-with-sparse-matrices\" target=\"_blank\">Notebook</a>)</li>\n<li><strong>Technology:</strong><br>\n-- Saturn cloud with big RAM is accessible</li>\n<li><strong>Problems:</strong> <br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933#1931702\" target=\"_blank\">Newly provided \"test\" file contain more features</a> and see  <a href=\"https://www.kaggle.com/code/erivanoliveirajr/multimodal-single-cell-integration/data\" target=\"_blank\">also</a><br>\n--  <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347890\" target=\"_blank\">Data Lick found (resolved 23-25.09)</a><br>\n--  <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347202\" target=\"_blank\">Shake-up inevitable</a></li>\n<li><strong>Related research</strong><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351038\" target=\"_blank\">Collection of links to papers, videos, etc </a></li>\n<li><strong>Strange things:</strong> <br>\n-- Negative values in protein measurements. Organizers: <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/346210\" target=\"_blank\">\"I agree this is weird! \" </a></li>\n<li><strong>Soft Questions:</strong> <br>\n-- Why just average  solution gives such high score ? Seems answer - variation of targets around mean is not big, mean is easily predictable  </li>\n<li><strong>Suggestions:</strong> <br>\n-- It is multitarget, so we need neural networks, might look at MoA examples e.g. nice <a href=\"https://www.kaggle.com/competitions/lish-moa/discussion/202256\" target=\"_blank\">top2</a>: </li>\n<li><strong>Events:</strong> <br>\n-- Introductory lectures related to Kaggle and Biology are planned: see <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348661\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348661</a></li>\n<li><strong>Biology:</strong> <br>\n-- Super cool ! <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761\" target=\"_blank\">Donors - 3 men and 1 woman</a> (by Y chromosome in ATAC-seq data) <br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348117\" target=\"_blank\">Nice UMAP</a> figures, day 3|HSC - outlier. Why ? What is going on ?  Differentiation ? But why it disappears on day 4 ? Something unclear is here<br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761\" target=\"_blank\">Details on biological processing</a><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350314\" target=\"_blank\">Cell proliferation cycle analysis</a><br>\n-- <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351725\" target=\"_blank\">Analysis of correlations and some findings</a><br>\n-- Seems ATAC-seq it is not really changing <a href=\"https://www.kaggle.com/code/norifumiirie/heatmap-of-multiome-data?scriptVersionId=105460251&amp;cellId=30\" target=\"_blank\">Heatmap of ATAC-seq</a> and same <a href=\"https://www.kaggle.com/alexandervc/heatmap-of-atac-seq-multiome-data\" target=\"_blank\">by chromosome</a></li>\n</ul>",
      "rawMarkdown": "Welcome to add your findings in comments here.\n\nThat is was great and hard competition ! Thanks to organizers and congratulations to everybody who gained prizes/medals/experience/fun... ! \n\n**Day 93 15/11** no change: LB 0.816  Public: 0.812  - the last day of the competition\n**Day 92 14/11** no change: LB 0.816  Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)\n**Day 91, 13/11** no change: LB 0.816  Public: 0.812 (The fight is very tough top2-5 positions are quite interchanging,\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: https://t.me/sberlogacompete/3232 )\n**Day 90, 12/11** no change: LB 0.816  Public: 0.812 \n(The fight for the top2-3 places is very tough - positions were changed several times per day;\nTeams: [Kha|MT|B|Ambros], [Risk-ZaloPay] Aggressive, [Protein Shake]. 5 Teams above 0.815, 23 teams above 0.814 )\n**Day 88, 10/11** no change: LB 0.815  Public: 0.812\n**Day 87, 9/11**  **!!! Breakthrough LB 0.816 !!!**   Public: 0.812  (Senkin&tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )\n**Day 86, 8/11** no change: LB 0.815  Public: 0.812\n**Day 85, 7/11** no change: LB 0.815  Public: 0.812\n**Day 84, 6/11** no change: LB 0.815  Public: 0.812+ ([New top public blend appeared](https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq), but still 0.812. Above 0.814 - 19 teams) \n**Day 83, 5/11** no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)\n**Day 82, 4/11** no change: LB 0.815  Public: 0.812\n**Day 81, 3/11** no change: LB 0.815  Public: 0.812 (Dream teamed formed - Senkin13&\"tmp\", top boosting and top NN joined together, any one can beat them ?)\n(By the way - at the early days of the competition in was written here - look on \"tmp's\"' solution and github: \n(https://www.kaggle.com/competitions/lish-moa/discussion/202256). It is not too late even now ).\n**Day 80, 2/11** no change: LB 0.815  Public: 0.812 (The first time top1 changed - \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) \n**Day 79, 1/11** no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )\n**Day 78, 31/10** no change: LB 0.815  Public: 0.812\n**Day 77, 30/10** no change: LB 0.815  Public: 0.812\n**Day 76, 29/10** no change: LB 0.815  Public: 0.812\n**Day 75, 28/10** no change: LB 0.815  Public: 0.812\n**Day 74, 27/10** no change: LB 0.815  Public: 0.812\n**Day 73, 26/10** no change: LB 0.815  Public: 0.812\n**Day 72, 25/10** no change: LB 0.815  Public: 0.812\n**Day 71, 24/10** no change: LB 0.815  Public: 0.812  (6 teams above 0.814)\n**Day 70, 23/10** no change: LB 0.815  Public: 0.812 (5 teams above 0.814)\n**Day 69, 22/10** no change: LB 0.815  Public: 0.812\n**Day 68, 21/10** no change: LB 0.815  Public: 0.812\n**Day 67, 20/10**  no change: LB 0.815  Public: 0.812 , 4-th team achieved 0.814 on LB - \"\nHow to predict Citeseq\"  (user: \"A Beginner\") E238 - Position 4. \n**Day 66, 19/10**  **!!! Breakthrough  LB 0.815** - Senkin13 E55 Public: 0.812 (After 30 days of 0.814 on LB and release of the new data - finally 0.815)  \n**Day 65, 18/10** LB 0.814  Public increase: 0.812; The third team achieved 0.814 on LB - \"Protein Shake\" E124. Public 0.812:   ( MEHRAN KAZEMINIA [Blend achieved 0.812](https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq))  and another: [0.812 LAURENT POURCHOT](https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras)\n**Day 64, 17/10** no change: LB 0.814  Public: 0.811 \n**Day 63, 16/10** no change: LB 0.814  Public: 0.811 \n**Day 62, 15/10** no change: LB 0.814  Public: 0.811 \n**Day 61, 14/10**  LB 0.814 (Senkin13 E48 - no change) ; small  change for public top: : 0.811 (New top public: [0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. ](https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5).\nThe second team reached 0.814: definitelynot KhaVo+MT\n**Day 60, 13/10**  no change: LB 0.814  Public: 0.811 \n**Day 59, 12/10**  no change: LB 0.814  Public: 0.811 . [New data has been issued. ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355) \n**Day 58, 11/10**  no change: LB 0.814  Public: 0.811 \n**Day 57, 10/10**  no change: LB 0.814  Public: 0.811 \n**Day 56, 9/10**  no change: LB 0.814  Public: 0.811 \n**Day 55, 8/10**  no change: LB 0.814  Public: 0.811 \n**Day 54, 7/10**  no change: LB 0.814  Public: 0.811 \n**Day 53, 6/10**  no change: LB 0.814  Public: 0.811 \n**Day 52, 5/10**  no change: LB 0.814  Public: 0.811 \n**Day 51, 4/10**  no change: LB 0.814  Public: 0.811 \n**Day 50, 3/10**  no change: LB 0.814  Public: 0.811 \n**Day 49, 2/10**  no change: LB 0.814  Public: 0.811 \n**Day 47, 1/10**  no change: LB 0.814  Public: 0.811 \n**Day 46, 30/09**  no change: LB 0.814  Public: 0.811 \n**Day 45, 29/09**  no change: LB 0.814  Public: 0.811 \n**Day 44, 28/09**  no change: LB 0.814  Public: 0.811 \n**Day 43, 27/09**  no change: LB 0.814  Public: 0.811 \n**Day 42, 26/09**  no change: LB 0.814  Public: 0.811 \n**Day 41, 25/09**  no change: LB 0.814  Public: 0.811 ( MT E81 and AmbrosM  achieved 0.812 E38 - Top2 and Top4)  \n**Day 40, 24/09**  no change: LB 0.814  Public: 0.811  \n**Day 39, 23/09**  no change: LB 0.814  Public: 0.811  \n**Day 38, 22/09**  no change: LB 0.814  Public: 0.811  \n**Day 37, 21/09**  no change: LB 0.814  Public: 0.811 (Magnus achieved 0.812 = Top3) \n**Day 36, 20/09**  no change: LB 0.814  Public: 0.811 \n**Day 35, 19/09**  **!!! Breakthrough LB 0.814 !!!**LB 0.814 (Finally senkin13 achieved 0.814 E27) Public: 0.811 \n**Day 34, 18/09**  LB 0.813+ Public: 0.811 (new , a little better score, but less blend - [Keras + Catboost + some blend](https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble))\n**Day 33, 17/09** no change: LB 0.813 Public: 0.811\n**Day 32, 16/09** no change: LB 0.813 Public: 0.811\n**Day 31, 15/09** no change: LB 0.813 Public: 0.811 (Silogram achieved 0.813 E41 , and became N2) \n**Day 30, 14/09** no change: LB 0.813 Public: 0.811\n**Day 29, 13/09** no change: LB 0.813 Public: 0.811\n**Day 28, 12/09**  no change: LB 0.813 Public: 0.811\n**Day 27, 11/09**  no change: LB 0.813 Public: 0.811\n**Day 26, 10/09**  no change: LB 0.813 Public: 0.811\n**Day 25, 09/09** Rescoring process finished (hopefully). The top of LB is basically the same: senkin13: 0.813\n15, Btbpanda 0.812 25, Mustafa Keser 0.812 79, Silogram 0.812 39. About 0.048 below the old one. [Top public: 0.811](https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966) \n**Day 24, 08/09** Rescoring process not finished yet (restarted)\n**Day 23, 07/09** **[Data Update and Rescore - exclude data leak](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933). SCORES CHANGE approximately by 0.048 down**\n**Day 22, 06/09** LB 0.860 (Btbpanda E25). Public: 0.858 Several. (S: 0.860 35, AC: 0.858 43, AV 0.860 25 S13 0.859 11)\n**Day 21, 05/09** LB 0.860 (Btbpanda E24). Public: 0.858 Several. (S: 0.859 32, AC: 0.858 42, AV 0.860 24 S13 0.859 11)\n**Day 20, 04/09** LB 0.860 (Mustafa Keser E54). Public: 0.858 [CITEseq Keras] (https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart) (AMBROSM) (S: 0.859 27, AC: 0.857 36, AV 0.859 22 S13 0.859 8)\n**Day 19, 03/09** LB 0.859 (Btbpanda, E19).  Public: 0.853 [AMBROSM](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart).   Some scores S 0.859, 27, AC 0.855 31, S13 0.854 4\n**Day 18, 02/09** LB Same.  Public: 0.848 ([Similar to previous top public ](https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32)) (J. S. Perera).   Some scores S: 0.856, 22, AC: 0.850 27\n **Day 17, 01/09** NO change.  Some scores S: 0.848 17, AC: 0.849 24 \n**Day 16, 31/08** LB: 0.858 (minhtu.mt.mt, E30),  Public:  0.847 [(PCA+RIDGE on Multiome made Sparse)](https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices) FABIEN CROM\n**Day 15, 30/08** LB: 0.855 (Jie Wu, E27), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)\n**Day 14, 29/08** same: LB: 0.854 (E25), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)\n**Day 13, 28/08** LB: 0.854 (E25), Public:  same :  0.834 (LGBM+Optuna+Drop Const)\n**Day 12, 27/08** LB: 0.848 (E12), Public: 0.834 (LGBM+Optuna+Drop Const)\n\n- **New data**\n-- [New data has been issued. ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355)\n\n==\n\n-  **Feature Engineering**\n-- [Feature shop for you - lots of engineered features by dimensional reduction and clustering](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359683)\n-- Similar for Multiome - https://www.kaggle.com/datasets/stasborodynkin/feature-shop-for-mmscel-multiome\n- **Publics:** \n--  06 11 2002: [New top public blend appeared](https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq), but still 0.812\n-- [Useful discussion on models, MLP, Keras-NN, Catboost](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359866)\n-- [0.812MEHRAN KAZEMINIA ](https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq)\n-- [0.812 LAURENT POURCHOT](https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras)\n-- [0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. ](https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5)\n-- [0.811+ LAURENT POURCHOT Keras + Catboost + some blend](https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble)\n-- [0.811 JOSE CARMONA idea - be careful with blend - look separately Multiome and CITEseq](https://www.kaggle.com/code/josecarmona/msci22-keep-in-mind-2in1/notebook?scriptVersionId=105880791) \n-- [0.811 VLADIMIR SLAYKOVSKIY Normalized Ensembles ](https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966) \n-- 0.81 [Citeseq: TrancSVD->Keras Dense 4Layers with Dropout (with tune params by KerasTuner); Multiome: CatBoost by XiaFire](https://www.kaggle.com/code/sskknt/msci-citeseq-keras-quickstart-dropout/notebook?scriptVersionId=105219293)\n-- 0.81 [CATboost-regressor Multiome](https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor)\n-- 0.807 [TabNet on CITEseq ; on Multiome not the best solution](https://www.kaggle.com/code/tamaryo/lb-0-805-citeseq-tabnet-baseline)\n-- (0.858old) [CITEseq Keras](https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart) (AMBROSM)\n--  0.803 (0.853old) [AMBROSM](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart) - merge LGBM on CITEseq with PCA+RIDGE on Multiome \n-- (0.848old) ([Similar to previous top public ](https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32)) (J. S. Perera).\n--  0.803 (0.847old) [(PCA+RIDGE on Multiome made Sparse)](https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices) FABIEN CROM\n--  0.794 (0.83, 0834old) - [LGBM+Optuna on CiteSeq](https://www.kaggle.com/code/vuonglam/lgbm-baseline-optuna-drop-constant-cite-task)\n-- 0.792  [ SWIMMY【LGBM Baseline】MSCI CITEseq]( https://www.kaggle.com/code/swimmy/lgbm-baseline-msci-citeseq)\n-- (0.824old) - [LGBM  on CiteSeq](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart)\n-- (0.814old) - [PCA+Ridge on CiteSeq](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart)\n-- (0.741old) - [Just averages](https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id)\n- **Postprocessing:**\n-- [Normalize to 1e6 etc](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/349132) \n- **Data Tricks:**\n-- Conversion to sparse of multiome data - now it fits kaggle RAM ([Notebook](https://www.kaggle.com/code/sbunzini/reduce-memory-usage-by-95-with-sparse-matrices))\n- **Technology:**\n-- Saturn cloud with big RAM is accessible\n- **Problems:** \n-- [Newly provided \"test\" file contain more features](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933#1931702) and see  [also](https://www.kaggle.com/code/erivanoliveirajr/multimodal-single-cell-integration/data)\n--  [Data Lick found (resolved 23-25.09)](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347890)\n--  [Shake-up inevitable](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347202)\n- **Related research**\n-- [Collection of links to papers, videos, etc ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351038)\n- **Strange things:** \n-- Negative values in protein measurements. Organizers: [\"I agree this is weird! \" ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/346210)\n- **Soft Questions:** \n-- Why just average  solution gives such high score ? Seems answer - variation of targets around mean is not big, mean is easily predictable  \n- **Suggestions:** \n-- It is multitarget, so we need neural networks, might look at MoA examples e.g. nice [top2](https://www.kaggle.com/competitions/lish-moa/discussion/202256): \n- **Events:** \n-- Introductory lectures related to Kaggle and Biology are planned: see https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348661\n- **Biology:** \n-- Super cool ! [Donors - 3 men and 1 woman](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761) (by Y chromosome in ATAC-seq data) \n-- [Nice UMAP](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348117) figures, day 3|HSC - outlier. Why ? What is going on ?  Differentiation ? But why it disappears on day 4 ? Something unclear is here\n-- [Details on biological processing](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761)\n-- [Cell proliferation cycle analysis](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350314)\n-- [Analysis of correlations and some findings](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351725)\n-- Seems ATAC-seq it is not really changing [Heatmap of ATAC-seq](https://www.kaggle.com/code/norifumiirie/heatmap-of-multiome-data?scriptVersionId=105460251&cellId=30) and same [by chromosome](https://www.kaggle.com/alexandervc/heatmap-of-atac-seq-multiome-data)\n\n    \n   ",
      "votes": 51
    },
    {
      "id": 2032072,
      "postDate": "2022-11-16T12:08:37.253Z",
      "content": "<p>Thanks for your effort for this competition, your thread is always interesting and informative.</p>",
      "rawMarkdown": "Thanks for your effort for this competition, your thread is always interesting and informative.",
      "votes": 3
    },
    {
      "id": 2029780,
      "postDate": "2022-11-14T22:42:28.113Z",
      "content": "<p><strong>Day 92 14/11</strong> no change: LB 0.816 Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)</p>\n<p>LB is changing so fast:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fc7b8792c2af75221844395388e01e544%2FScreenshot%202022-11-14%20234150.png?generation=1668465729638918&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 92 14/11** no change: LB 0.816 Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)\n\nLB is changing so fast:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fc7b8792c2af75221844395388e01e544%2FScreenshot%202022-11-14%20234150.png?generation=1668465729638918&alt=media)",
      "votes": 1
    },
    {
      "id": 2028425,
      "postDate": "2022-11-13T22:37:50.427Z",
      "content": "<p><strong>Day 91, 13/11 no change: LB 0.816 Public: 0.812</strong><br>\n (The fight is very tough - top2-5 positions are quite interchanging,<br>\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: <a href=\"https://t.me/sberlogacompete/3232\" target=\"_blank\">https://t.me/sberlogacompete/3232</a> )<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F6ca1402184667582da6e31ab1e866549%2FScreenshot%202022-11-13%20233712.png?generation=1668379062800764&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 91, 13/11 no change: LB 0.816 Public: 0.812**\n (The fight is very tough - top2-5 positions are quite interchanging,\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: https://t.me/sberlogacompete/3232 )\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F6ca1402184667582da6e31ab1e866549%2FScreenshot%202022-11-13%20233712.png?generation=1668379062800764&alt=media)",
      "votes": 1
    },
    {
      "id": 2023366,
      "postDate": "2022-11-09T17:48:21.750Z",
      "content": "<p><strong>Day 87, 9/11 !!! Breakthrough LB 0.816 !!!</strong> Public: 0.812 (Senkin&amp;tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F607b277430115f1a54251a3ef63e1b4f%2FScreenshot%202022-11-09%20184744.png?generation=1668016075717636&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 87, 9/11 !!! Breakthrough LB 0.816 !!!** Public: 0.812 (Senkin&tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F607b277430115f1a54251a3ef63e1b4f%2FScreenshot%202022-11-09%20184744.png?generation=1668016075717636&alt=media)",
      "votes": 1
    },
    {
      "id": 2019653,
      "postDate": "2022-11-06T19:50:23.687Z",
      "content": "<p><strong>Day 84, 6/11</strong> no change: LB 0.815  Public: 0.812+ (<a href=\"https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq\" target=\"_blank\">New top public blend appeared</a>, but still 0.812. Above 0.814 - 19 teams) <br>\n<strong>Day 83, 5/11</strong> no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F3796167a1e14bb819235e4ce179b78be%2FScreenshot%202022-11-06%20204013.png?generation=1667764190148097&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 84, 6/11** no change: LB 0.815  Public: 0.812+ ([New top public blend appeared](https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq), but still 0.812. Above 0.814 - 19 teams) \n**Day 83, 5/11** no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F3796167a1e14bb819235e4ce179b78be%2FScreenshot%202022-11-06%20204013.png?generation=1667764190148097&alt=media)",
      "votes": 1
    },
    {
      "id": 2014282,
      "postDate": "2022-11-02T13:38:03.733Z",
      "content": "<p><strong>Day 80, 2/11</strong> no change: LB 0.815  Public: 0.812 (The first time top1 changed \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) <br>\n<strong>Day 79, 1/11</strong> no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fa587dbbc099b34d2a35b8060e7f2ec14%2FScreenshot%202022-11-02%20143707.png?generation=1667396277264497&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 80, 2/11** no change: LB 0.815  Public: 0.812 (The first time top1 changed \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) \n**Day 79, 1/11** no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fa587dbbc099b34d2a35b8060e7f2ec14%2FScreenshot%202022-11-02%20143707.png?generation=1667396277264497&alt=media)",
      "votes": 1
    },
    {
      "id": 2001765,
      "postDate": "2022-10-24T09:48:37.560Z",
      "content": "<p><strong>Day 70, 23/10</strong> no change: LB 0.815  Public: 0.812 (5 teams above 0.814)<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fb222f0c2313434240f6e6b756c220ac8%2FScreenshot%202022-10-23%20212045.png?generation=1666604614764911&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 70, 23/10** no change: LB 0.815  Public: 0.812 (5 teams above 0.814)\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fb222f0c2313434240f6e6b756c220ac8%2FScreenshot%202022-10-23%20212045.png?generation=1666604614764911&alt=media)",
      "votes": 1,
      "replies": [
        {
          "id": 2001786,
          "postDate": "2022-10-24T09:59:51.440Z",
          "content": "<p>Senkin hopes to beat .815 limit <br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3913785%2Fc50272781ddac058b8db190afba365c6%2FIMG_20221024_115419.jpg?generation=1666605321518246&amp;alt=media\" alt=\"\"></p>",
          "rawMarkdown": "Senkin hopes to beat .815 limit \n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3913785%2Fc50272781ddac058b8db190afba365c6%2FIMG_20221024_115419.jpg?generation=1666605321518246&alt=media)",
          "votes": 3
        }
      ]
    },
    {
      "id": 1979933,
      "postDate": "2022-10-09T20:25:31.010Z",
      "content": "<p><strong>Day 56, 9/10</strong>  no change: LB 0.814  Public: 0.811 </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F13f1d3ebda3c48b93b2a360fb3c192e4%2FScreenshot%202022-10-09%20222219.png?generation=1665347026223790&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 56, 9/10**  no change: LB 0.814  Public: 0.811 \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F13f1d3ebda3c48b93b2a360fb3c192e4%2FScreenshot%202022-10-09%20222219.png?generation=1665347026223790&alt=media)",
      "votes": 1
    },
    {
      "id": 1957893,
      "postDate": "2022-09-27T07:41:42.060Z",
      "content": "<p>Percent of HSC cells decrease daily,<br>\nit might be \"differentiation\" (i.e. transformation to other cell types) or just worse survival.</p>\n<p>Probably for day 10, it will be even less HSC.<br>\nThus if models depend on types - we need to take that into account. </p>\n<p><a href=\"https://www.kaggle.com/code/ryumei1987/msci-eda?scriptVersionId=106560721&amp;cellId=9\" target=\"_blank\">https://www.kaggle.com/code/ryumei1987/msci-eda?scriptVersionId=106560721&amp;cellId=9</a><br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F5139dd2094f420998486efd6056cedf5%2FScreenshot%202022-09-27%20093943.png?generation=1664264395840435&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Percent of HSC cells decrease daily,\nit might be \"differentiation\" (i.e. transformation to other cell types) or just worse survival.\n\nProbably for day 10, it will be even less HSC.\nThus if models depend on types - we need to take that into account. \n\nhttps://www.kaggle.com/code/ryumei1987/msci-eda?scriptVersionId=106560721&cellId=9\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F5139dd2094f420998486efd6056cedf5%2FScreenshot%202022-09-27%20093943.png?generation=1664264395840435&alt=media)",
      "votes": 1
    },
    {
      "id": 1955133,
      "postDate": "2022-09-25T18:29:02.313Z",
      "content": "<p><strong>Day 41, 25/09</strong> no change: LB 0.814 Public: 0.811 ( MT E81 and AmbrosM achieved 0.812 E38 - Top2 and Top4)</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F4f13f9ee8d0d93cb7e6654d6358136e5%2FScreenshot%202022-09-25%20202808.png?generation=1664130537597986&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "**Day 41, 25/09** no change: LB 0.814 Public: 0.811 ( MT E81 and AmbrosM achieved 0.812 E38 - Top2 and Top4)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F4f13f9ee8d0d93cb7e6654d6358136e5%2FScreenshot%202022-09-25%20202808.png?generation=1664130537597986&alt=media)\n",
      "votes": 1,
      "replies": [
        {
          "id": 1955595,
          "postDate": "2022-09-26T04:22:39.170Z",
          "content": "<p>I wander what makes so many people achieved 813 just one day</p>",
          "rawMarkdown": "I wander what makes so many people achieved 813 just one day",
          "votes": 2
        },
        {
          "id": 1956151,
          "postDate": "2022-09-26T10:01:54.540Z",
          "content": "<p>I guess it is Sunday. People have free time for Kaggle. Not sure I am right.  Just hypothesis </p>",
          "rawMarkdown": "I guess it is Sunday. People have free time for Kaggle. Not sure I am right.  Just hypothesis ",
          "votes": 1
        },
        {
          "id": 1968022,
          "postDate": "2022-10-02T20:10:26.257Z",
          "content": "<p><strong>Day 48, 2/10</strong>  no change: LB 0.814  Public: 0.811 </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fa4d4a517fd195cb8e34388b8e94bc37a%2FScreenshot%202022-10-02%20220917.png?generation=1664741376682003&amp;alt=media\" alt=\"\"></p>",
          "rawMarkdown": "**Day 48, 2/10**  no change: LB 0.814  Public: 0.811 \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fa4d4a517fd195cb8e34388b8e94bc37a%2FScreenshot%202022-10-02%20220917.png?generation=1664741376682003&alt=media)",
          "votes": 1
        }
      ]
    },
    {
      "id": 1947412,
      "postDate": "2022-09-20T12:57:00.453Z",
      "content": "<p>Hi Alexander:</p>\n<p>Great work and very useful!</p>\n<p>Thanks for sharing</p>",
      "rawMarkdown": "Hi Alexander:\n\nGreat work and very useful!\n\nThanks for sharing",
      "votes": 1
    },
    {
      "id": 2031183,
      "postDate": "2022-11-15T23:19:17.987Z",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/alexandervc\" target=\"_blank\">@alexandervc</a>,</p>\n<p>Thank for this great thread. It was very useful to me and was a perfect daily report about the competition status. I hope you be luck in the final ranking</p>",
      "rawMarkdown": "Hi @alexandervc,\n\nThank for this great thread. It was very useful to me and was a perfect daily report about the competition status. I hope you be luck in the final ranking",
      "votes": 2
    },
    {
      "id": 1988157,
      "postDate": "2022-10-15T05:43:28.937Z",
      "content": "<h2>Pay attention - new data has been issued - raw counts:</h2>\n<p><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355</a></p>\n<p><strong>Day 61, 14/10</strong> LB 0.814 Public: 0.811 (New top public: 0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. .</p>\n<h3>Congratulations to the second team reaching 0.814:</h3>\n<p>definitelynot KhaVo+MT</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F0aae3156cce1353dddf8e535c3fb8568%2FScreenshot%202022-10-15%20074258.png?generation=1665812596198739&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "## Pay attention - new data has been issued - raw counts:\nhttps://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\n\n**Day 61, 14/10** LB 0.814 Public: 0.811 (New top public: 0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. .\n\n### Congratulations to the second team reaching 0.814:\ndefinitelynot KhaVo+MT\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F0aae3156cce1353dddf8e535c3fb8568%2FScreenshot%202022-10-15%20074258.png?generation=1665812596198739&alt=media)\n",
      "votes": 2
    },
    {
      "id": 1979954,
      "postDate": "2022-10-09T20:52:05.610Z",
      "content": "<p>It seems that we are blocked</p>",
      "rawMarkdown": "It seems that we are blocked",
      "votes": 2
    },
    {
      "id": 1955245,
      "postDate": "2022-09-25T21:22:09.527Z",
      "content": "<p>That might be useful: <br>\n1) <a href=\"https://www.kaggle.com/code/konomuabe/average-of-gene-id-and-day\" target=\"_blank\">https://www.kaggle.com/code/konomuabe/average-of-gene-id-and-day</a><br>\n\"Simple Submission - Average by gene_id scored 0.741 This note book calculates average of gene_id grouped by the day. But the score is 0.748. <br>\nDay may not affect the results much.<br>\nLooking at CV, citeseq improves 0.0035 and multiome improves 0.0068 in correlation if days are taken into account.<br>\n\"<br>\nRemark: 0.741 - the scores BEFORE leak correction - now one should substruct about 0.048. <br>\nThe pure average now gives 0.718 - see - <a href=\"https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id\" target=\"_blank\">https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id</a></p>\n<p>2) <br>\nAverages with respect to cell type give: 0.760  ! (Improvement from 0.718 for simple averages )<br>\nSee <a href=\"https://www.kaggle.com/code/norifumiirie/simple-submission-mean-by-gene-id-and-cell-type?scriptVersionId=106556768\" target=\"_blank\">https://www.kaggle.com/code/norifumiirie/simple-submission-mean-by-gene-id-and-cell-type?scriptVersionId=106556768</a> </p>",
      "rawMarkdown": "That might be useful: \n1) https://www.kaggle.com/code/konomuabe/average-of-gene-id-and-day\n\"Simple Submission - Average by gene_id scored 0.741 This note book calculates average of gene_id grouped by the day. But the score is 0.748. \nDay may not affect the results much.\nLooking at CV, citeseq improves 0.0035 and multiome improves 0.0068 in correlation if days are taken into account.\n\"\nRemark: 0.741 - the scores BEFORE leak correction - now one should substruct about 0.048. \nThe pure average now gives 0.718 - see - https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id\n\n2) \nAverages with respect to cell type give: 0.760  ! (Improvement from 0.718 for simple averages )\nSee https://www.kaggle.com/code/norifumiirie/simple-submission-mean-by-gene-id-and-cell-type?scriptVersionId=106556768 \n\n\n\n",
      "votes": 2
    },
    {
      "id": 1937997,
      "postDate": "2022-09-13T19:57:21.767Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 2029159,
      "postDate": "2022-11-14T13:47:18.097Z",
      "content": "<p>Wow, thank you this is great!!</p>",
      "rawMarkdown": "Wow, thank you this is great!!",
      "votes": 2
    }
  ],
  "comments": [
    {
      "id": 2032072,
      "author_name": "senkin13",
      "author_url": "",
      "post_date": "2022-11-16T12:08:37.253000",
      "content": "<p>Thanks for your effort for this competition, your thread is always interesting and informative.</p>",
      "votes": 3,
      "replies": []
    },
    {
      "id": 2029780,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-11-14T22:42:28.113000",
      "content": "<p><strong>Day 92 14/11</strong> no change: LB 0.816 Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)</p>\n<p>LB is changing so fast:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fc7b8792c2af75221844395388e01e544%2FScreenshot%202022-11-14%20234150.png?generation=1668465729638918&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 2028425,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-11-13T22:37:50.427000",
      "content": "<p><strong>Day 91, 13/11 no change: LB 0.816 Public: 0.812</strong><br>\n (The fight is very tough - top2-5 positions are quite interchanging,<br>\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: <a href=\"https://t.me/sberlogacompete/3232\" target=\"_blank\">https://t.me/sberlogacompete/3232</a> )<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F6ca1402184667582da6e31ab1e866549%2FScreenshot%202022-11-13%20233712.png?generation=1668379062800764&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 2023366,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-11-09T17:48:21.750000",
      "content": "<p><strong>Day 87, 9/11 !!! Breakthrough LB 0.816 !!!</strong> Public: 0.812 (Senkin&amp;tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F607b277430115f1a54251a3ef63e1b4f%2FScreenshot%202022-11-09%20184744.png?generation=1668016075717636&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 2019653,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-11-06T19:50:23.687000",
      "content": "<p><strong>Day 84, 6/11</strong> no change: LB 0.815  Public: 0.812+ (<a href=\"https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq\" target=\"_blank\">New top public blend appeared</a>, but still 0.812. Above 0.814 - 19 teams) <br>\n<strong>Day 83, 5/11</strong> no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F3796167a1e14bb819235e4ce179b78be%2FScreenshot%202022-11-06%20204013.png?generation=1667764190148097&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 2014282,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-11-02T13:38:03.733000",
      "content": "<p><strong>Day 80, 2/11</strong> no change: LB 0.815  Public: 0.812 (The first time top1 changed \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) <br>\n<strong>Day 79, 1/11</strong> no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fa587dbbc099b34d2a35b8060e7f2ec14%2FScreenshot%202022-11-02%20143707.png?generation=1667396277264497&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 2001765,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-10-24T09:48:37.560000",
      "content": "<p><strong>Day 70, 23/10</strong> no change: LB 0.815  Public: 0.812 (5 teams above 0.814)<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fb222f0c2313434240f6e6b756c220ac8%2FScreenshot%202022-10-23%20212045.png?generation=1666604614764911&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": [
        {
          "id": 2001786,
          "author_name": "Jose Carmona",
          "author_url": "",
          "post_date": "2022-10-24T09:59:51.440000",
          "content": "<p>Senkin hopes to beat .815 limit <br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3913785%2Fc50272781ddac058b8db190afba365c6%2FIMG_20221024_115419.jpg?generation=1666605321518246&amp;alt=media\" alt=\"\"></p>",
          "votes": 3,
          "replies": []
        }
      ]
    },
    {
      "id": 1979933,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-10-09T20:25:31.010000",
      "content": "<p><strong>Day 56, 9/10</strong>  no change: LB 0.814  Public: 0.811 </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F13f1d3ebda3c48b93b2a360fb3c192e4%2FScreenshot%202022-10-09%20222219.png?generation=1665347026223790&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1957893,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-09-27T07:41:42.060000",
      "content": "<p>Percent of HSC cells decrease daily,<br>\nit might be \"differentiation\" (i.e. transformation to other cell types) or just worse survival.</p>\n<p>Probably for day 10, it will be even less HSC.<br>\nThus if models depend on types - we need to take that into account. </p>\n<p><a href=\"https://www.kaggle.com/code/ryumei1987/msci-eda?scriptVersionId=106560721&amp;cellId=9\" target=\"_blank\">https://www.kaggle.com/code/ryumei1987/msci-eda?scriptVersionId=106560721&amp;cellId=9</a><br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F5139dd2094f420998486efd6056cedf5%2FScreenshot%202022-09-27%20093943.png?generation=1664264395840435&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1955133,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-09-25T18:29:02.313000",
      "content": "<p><strong>Day 41, 25/09</strong> no change: LB 0.814 Public: 0.811 ( MT E81 and AmbrosM achieved 0.812 E38 - Top2 and Top4)</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F4f13f9ee8d0d93cb7e6654d6358136e5%2FScreenshot%202022-09-25%20202808.png?generation=1664130537597986&amp;alt=media\" alt=\"\"></p>",
      "votes": 1,
      "replies": [
        {
          "id": 1955595,
          "author_name": "INF",
          "author_url": "",
          "post_date": "2022-09-26T04:22:39.170000",
          "content": "<p>I wander what makes so many people achieved 813 just one day</p>",
          "votes": 2,
          "replies": []
        },
        {
          "id": 1956151,
          "author_name": "Alexander Chervov",
          "author_url": "",
          "post_date": "2022-09-26T10:01:54.540000",
          "content": "<p>I guess it is Sunday. People have free time for Kaggle. Not sure I am right.  Just hypothesis </p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 1968022,
          "author_name": "Alexander Chervov",
          "author_url": "",
          "post_date": "2022-10-02T20:10:26.257000",
          "content": "<p><strong>Day 48, 2/10</strong>  no change: LB 0.814  Public: 0.811 </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fa4d4a517fd195cb8e34388b8e94bc37a%2FScreenshot%202022-10-02%20220917.png?generation=1664741376682003&amp;alt=media\" alt=\"\"></p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 1947412,
      "author_name": "Jose Carmona",
      "author_url": "",
      "post_date": "2022-09-20T12:57:00.453000",
      "content": "<p>Hi Alexander:</p>\n<p>Great work and very useful!</p>\n<p>Thanks for sharing</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 2031183,
      "author_name": "Jose Carmona",
      "author_url": "",
      "post_date": "2022-11-15T23:19:17.987000",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/alexandervc\" target=\"_blank\">@alexandervc</a>,</p>\n<p>Thank for this great thread. It was very useful to me and was a perfect daily report about the competition status. I hope you be luck in the final ranking</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 1988157,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-10-15T05:43:28.937000",
      "content": "<h2>Pay attention - new data has been issued - raw counts:</h2>\n<p><a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355</a></p>\n<p><strong>Day 61, 14/10</strong> LB 0.814 Public: 0.811 (New top public: 0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. .</p>\n<h3>Congratulations to the second team reaching 0.814:</h3>\n<p>definitelynot KhaVo+MT</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F0aae3156cce1353dddf8e535c3fb8568%2FScreenshot%202022-10-15%20074258.png?generation=1665812596198739&amp;alt=media\" alt=\"\"></p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 1979954,
      "author_name": "Jose Carmona",
      "author_url": "",
      "post_date": "2022-10-09T20:52:05.610000",
      "content": "<p>It seems that we are blocked</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 1955245,
      "author_name": "Alexander Chervov",
      "author_url": "",
      "post_date": "2022-09-25T21:22:09.527000",
      "content": "<p>That might be useful: <br>\n1) <a href=\"https://www.kaggle.com/code/konomuabe/average-of-gene-id-and-day\" target=\"_blank\">https://www.kaggle.com/code/konomuabe/average-of-gene-id-and-day</a><br>\n\"Simple Submission - Average by gene_id scored 0.741 This note book calculates average of gene_id grouped by the day. But the score is 0.748. <br>\nDay may not affect the results much.<br>\nLooking at CV, citeseq improves 0.0035 and multiome improves 0.0068 in correlation if days are taken into account.<br>\n\"<br>\nRemark: 0.741 - the scores BEFORE leak correction - now one should substruct about 0.048. <br>\nThe pure average now gives 0.718 - see - <a href=\"https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id\" target=\"_blank\">https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id</a></p>\n<p>2) <br>\nAverages with respect to cell type give: 0.760  ! (Improvement from 0.718 for simple averages )<br>\nSee <a href=\"https://www.kaggle.com/code/norifumiirie/simple-submission-mean-by-gene-id-and-cell-type?scriptVersionId=106556768\" target=\"_blank\">https://www.kaggle.com/code/norifumiirie/simple-submission-mean-by-gene-id-and-cell-type?scriptVersionId=106556768</a> </p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 1937997,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-09-13T19:57:21.767000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2029159,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-11-14T13:47:18.097000",
      "content": "<p>Wow, thank you this is great!!</p>",
      "votes": 2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1916402": "Welcome to add your findings in comments here.\n\nThat is was great and hard competition ! Thanks to organizers and congratulations to everybody who gained prizes/medals/experience/fun... ! \n\n**Day 93 15/11** no change: LB 0.816  Public: 0.812  - the last day of the competition\n**Day 92 14/11** no change: LB 0.816  Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)\n**Day 91, 13/11** no change: LB 0.816  Public: 0.812 (The fight is very tough top2-5 positions are quite interchanging,\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: https://t.me/sberlogacompete/3232 )\n**Day 90, 12/11** no change: LB 0.816  Public: 0.812 \n(The fight for the top2-3 places is very tough - positions were changed several times per day;\nTeams: [Kha|MT|B|Ambros], [Risk-ZaloPay] Aggressive, [Protein Shake]. 5 Teams above 0.815, 23 teams above 0.814 )\n**Day 88, 10/11** no change: LB 0.815  Public: 0.812\n**Day 87, 9/11**  **!!! Breakthrough LB 0.816 !!!**   Public: 0.812  (Senkin&tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )\n**Day 86, 8/11** no change: LB 0.815  Public: 0.812\n**Day 85, 7/11** no change: LB 0.815  Public: 0.812\n**Day 84, 6/11** no change: LB 0.815  Public: 0.812+ ([New top public blend appeared](https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq), but still 0.812. Above 0.814 - 19 teams) \n**Day 83, 5/11** no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)\n**Day 82, 4/11** no change: LB 0.815  Public: 0.812\n**Day 81, 3/11** no change: LB 0.815  Public: 0.812 (Dream teamed formed - Senkin13&\"tmp\", top boosting and top NN joined together, any one can beat them ?)\n(By the way - at the early days of the competition in was written here - look on \"tmp's\"' solution and github: \n(https://www.kaggle.com/competitions/lish-moa/discussion/202256). It is not too late even now ).\n**Day 80, 2/11** no change: LB 0.815  Public: 0.812 (The first time top1 changed - \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) \n**Day 79, 1/11** no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )\n**Day 78, 31/10** no change: LB 0.815  Public: 0.812\n**Day 77, 30/10** no change: LB 0.815  Public: 0.812\n**Day 76, 29/10** no change: LB 0.815  Public: 0.812\n**Day 75, 28/10** no change: LB 0.815  Public: 0.812\n**Day 74, 27/10** no change: LB 0.815  Public: 0.812\n**Day 73, 26/10** no change: LB 0.815  Public: 0.812\n**Day 72, 25/10** no change: LB 0.815  Public: 0.812\n**Day 71, 24/10** no change: LB 0.815  Public: 0.812  (6 teams above 0.814)\n**Day 70, 23/10** no change: LB 0.815  Public: 0.812 (5 teams above 0.814)\n**Day 69, 22/10** no change: LB 0.815  Public: 0.812\n**Day 68, 21/10** no change: LB 0.815  Public: 0.812\n**Day 67, 20/10**  no change: LB 0.815  Public: 0.812 , 4-th team achieved 0.814 on LB - \"\nHow to predict Citeseq\"  (user: \"A Beginner\") E238 - Position 4. \n**Day 66, 19/10**  **!!! Breakthrough  LB 0.815** - Senkin13 E55 Public: 0.812 (After 30 days of 0.814 on LB and release of the new data - finally 0.815)  \n**Day 65, 18/10** LB 0.814  Public increase: 0.812; The third team achieved 0.814 on LB - \"Protein Shake\" E124. Public 0.812:   ( MEHRAN KAZEMINIA [Blend achieved 0.812](https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq))  and another: [0.812 LAURENT POURCHOT](https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras)\n**Day 64, 17/10** no change: LB 0.814  Public: 0.811 \n**Day 63, 16/10** no change: LB 0.814  Public: 0.811 \n**Day 62, 15/10** no change: LB 0.814  Public: 0.811 \n**Day 61, 14/10**  LB 0.814 (Senkin13 E48 - no change) ; small  change for public top: : 0.811 (New top public: [0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. ](https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5).\nThe second team reached 0.814: definitelynot KhaVo+MT\n**Day 60, 13/10**  no change: LB 0.814  Public: 0.811 \n**Day 59, 12/10**  no change: LB 0.814  Public: 0.811 . [New data has been issued. ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355) \n**Day 58, 11/10**  no change: LB 0.814  Public: 0.811 \n**Day 57, 10/10**  no change: LB 0.814  Public: 0.811 \n**Day 56, 9/10**  no change: LB 0.814  Public: 0.811 \n**Day 55, 8/10**  no change: LB 0.814  Public: 0.811 \n**Day 54, 7/10**  no change: LB 0.814  Public: 0.811 \n**Day 53, 6/10**  no change: LB 0.814  Public: 0.811 \n**Day 52, 5/10**  no change: LB 0.814  Public: 0.811 \n**Day 51, 4/10**  no change: LB 0.814  Public: 0.811 \n**Day 50, 3/10**  no change: LB 0.814  Public: 0.811 \n**Day 49, 2/10**  no change: LB 0.814  Public: 0.811 \n**Day 47, 1/10**  no change: LB 0.814  Public: 0.811 \n**Day 46, 30/09**  no change: LB 0.814  Public: 0.811 \n**Day 45, 29/09**  no change: LB 0.814  Public: 0.811 \n**Day 44, 28/09**  no change: LB 0.814  Public: 0.811 \n**Day 43, 27/09**  no change: LB 0.814  Public: 0.811 \n**Day 42, 26/09**  no change: LB 0.814  Public: 0.811 \n**Day 41, 25/09**  no change: LB 0.814  Public: 0.811 ( MT E81 and AmbrosM  achieved 0.812 E38 - Top2 and Top4)  \n**Day 40, 24/09**  no change: LB 0.814  Public: 0.811  \n**Day 39, 23/09**  no change: LB 0.814  Public: 0.811  \n**Day 38, 22/09**  no change: LB 0.814  Public: 0.811  \n**Day 37, 21/09**  no change: LB 0.814  Public: 0.811 (Magnus achieved 0.812 = Top3) \n**Day 36, 20/09**  no change: LB 0.814  Public: 0.811 \n**Day 35, 19/09**  **!!! Breakthrough LB 0.814 !!!**LB 0.814 (Finally senkin13 achieved 0.814 E27) Public: 0.811 \n**Day 34, 18/09**  LB 0.813+ Public: 0.811 (new , a little better score, but less blend - [Keras + Catboost + some blend](https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble))\n**Day 33, 17/09** no change: LB 0.813 Public: 0.811\n**Day 32, 16/09** no change: LB 0.813 Public: 0.811\n**Day 31, 15/09** no change: LB 0.813 Public: 0.811 (Silogram achieved 0.813 E41 , and became N2) \n**Day 30, 14/09** no change: LB 0.813 Public: 0.811\n**Day 29, 13/09** no change: LB 0.813 Public: 0.811\n**Day 28, 12/09**  no change: LB 0.813 Public: 0.811\n**Day 27, 11/09**  no change: LB 0.813 Public: 0.811\n**Day 26, 10/09**  no change: LB 0.813 Public: 0.811\n**Day 25, 09/09** Rescoring process finished (hopefully). The top of LB is basically the same: senkin13: 0.813\n15, Btbpanda 0.812 25, Mustafa Keser 0.812 79, Silogram 0.812 39. About 0.048 below the old one. [Top public: 0.811](https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966) \n**Day 24, 08/09** Rescoring process not finished yet (restarted)\n**Day 23, 07/09** **[Data Update and Rescore - exclude data leak](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933). SCORES CHANGE approximately by 0.048 down**\n**Day 22, 06/09** LB 0.860 (Btbpanda E25). Public: 0.858 Several. (S: 0.860 35, AC: 0.858 43, AV 0.860 25 S13 0.859 11)\n**Day 21, 05/09** LB 0.860 (Btbpanda E24). Public: 0.858 Several. (S: 0.859 32, AC: 0.858 42, AV 0.860 24 S13 0.859 11)\n**Day 20, 04/09** LB 0.860 (Mustafa Keser E54). Public: 0.858 [CITEseq Keras] (https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart) (AMBROSM) (S: 0.859 27, AC: 0.857 36, AV 0.859 22 S13 0.859 8)\n**Day 19, 03/09** LB 0.859 (Btbpanda, E19).  Public: 0.853 [AMBROSM](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart).   Some scores S 0.859, 27, AC 0.855 31, S13 0.854 4\n**Day 18, 02/09** LB Same.  Public: 0.848 ([Similar to previous top public ](https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32)) (J. S. Perera).   Some scores S: 0.856, 22, AC: 0.850 27\n **Day 17, 01/09** NO change.  Some scores S: 0.848 17, AC: 0.849 24 \n**Day 16, 31/08** LB: 0.858 (minhtu.mt.mt, E30),  Public:  0.847 [(PCA+RIDGE on Multiome made Sparse)](https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices) FABIEN CROM\n**Day 15, 30/08** LB: 0.855 (Jie Wu, E27), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)\n**Day 14, 29/08** same: LB: 0.854 (E25), same: Public:  same :  0.834 (LGBM+Optuna+Drop Const)\n**Day 13, 28/08** LB: 0.854 (E25), Public:  same :  0.834 (LGBM+Optuna+Drop Const)\n**Day 12, 27/08** LB: 0.848 (E12), Public: 0.834 (LGBM+Optuna+Drop Const)\n\n- **New data**\n-- [New data has been issued. ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355)\n\n==\n\n-  **Feature Engineering**\n-- [Feature shop for you - lots of engineered features by dimensional reduction and clustering](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359683)\n-- Similar for Multiome - https://www.kaggle.com/datasets/stasborodynkin/feature-shop-for-mmscel-multiome\n- **Publics:** \n--  06 11 2002: [New top public blend appeared](https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq), but still 0.812\n-- [Useful discussion on models, MLP, Keras-NN, Catboost](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/359866)\n-- [0.812MEHRAN KAZEMINIA ](https://www.kaggle.com/code/mehrankazeminia/5-5-msci22-ensembling-citeseq)\n-- [0.812 LAURENT POURCHOT](https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras)\n-- [0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. ](https://www.kaggle.com/code/jsmithperera/citeseq-keras-multiome-5x5)\n-- [0.811+ LAURENT POURCHOT Keras + Catboost + some blend](https://www.kaggle.com/code/pourchot/multiome-with-keras-ensemble)\n-- [0.811 JOSE CARMONA idea - be careful with blend - look separately Multiome and CITEseq](https://www.kaggle.com/code/josecarmona/msci22-keep-in-mind-2in1/notebook?scriptVersionId=105880791) \n-- [0.811 VLADIMIR SLAYKOVSKIY Normalized Ensembles ](https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r/notebook?scriptVersionId=105258966) \n-- 0.81 [Citeseq: TrancSVD->Keras Dense 4Layers with Dropout (with tune params by KerasTuner); Multiome: CatBoost by XiaFire](https://www.kaggle.com/code/sskknt/msci-citeseq-keras-quickstart-dropout/notebook?scriptVersionId=105219293)\n-- 0.81 [CATboost-regressor Multiome](https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor)\n-- 0.807 [TabNet on CITEseq ; on Multiome not the best solution](https://www.kaggle.com/code/tamaryo/lb-0-805-citeseq-tabnet-baseline)\n-- (0.858old) [CITEseq Keras](https://www.kaggle.com/code/ambrosm/msci-citeseq-keras-quickstart) (AMBROSM)\n--  0.803 (0.853old) [AMBROSM](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart) - merge LGBM on CITEseq with PCA+RIDGE on Multiome \n-- (0.848old) ([Similar to previous top public ](https://www.kaggle.com/code/jsmithperera/multiome-quickstart-w-sparse-m-tsvd-32)) (J. S. Perera).\n--  0.803 (0.847old) [(PCA+RIDGE on Multiome made Sparse)](https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices) FABIEN CROM\n--  0.794 (0.83, 0834old) - [LGBM+Optuna on CiteSeq](https://www.kaggle.com/code/vuonglam/lgbm-baseline-optuna-drop-constant-cite-task)\n-- 0.792  [ SWIMMY【LGBM Baseline】MSCI CITEseq]( https://www.kaggle.com/code/swimmy/lgbm-baseline-msci-citeseq)\n-- (0.824old) - [LGBM  on CiteSeq](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart)\n-- (0.814old) - [PCA+Ridge on CiteSeq](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart)\n-- (0.741old) - [Just averages](https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id)\n- **Postprocessing:**\n-- [Normalize to 1e6 etc](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/349132) \n- **Data Tricks:**\n-- Conversion to sparse of multiome data - now it fits kaggle RAM ([Notebook](https://www.kaggle.com/code/sbunzini/reduce-memory-usage-by-95-with-sparse-matrices))\n- **Technology:**\n-- Saturn cloud with big RAM is accessible\n- **Problems:** \n-- [Newly provided \"test\" file contain more features](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350933#1931702) and see  [also](https://www.kaggle.com/code/erivanoliveirajr/multimodal-single-cell-integration/data)\n--  [Data Lick found (resolved 23-25.09)](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347890)\n--  [Shake-up inevitable](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347202)\n- **Related research**\n-- [Collection of links to papers, videos, etc ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351038)\n- **Strange things:** \n-- Negative values in protein measurements. Organizers: [\"I agree this is weird! \" ](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/346210)\n- **Soft Questions:** \n-- Why just average  solution gives such high score ? Seems answer - variation of targets around mean is not big, mean is easily predictable  \n- **Suggestions:** \n-- It is multitarget, so we need neural networks, might look at MoA examples e.g. nice [top2](https://www.kaggle.com/competitions/lish-moa/discussion/202256): \n- **Events:** \n-- Introductory lectures related to Kaggle and Biology are planned: see https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348661\n- **Biology:** \n-- Super cool ! [Donors - 3 men and 1 woman](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761) (by Y chromosome in ATAC-seq data) \n-- [Nice UMAP](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348117) figures, day 3|HSC - outlier. Why ? What is going on ?  Differentiation ? But why it disappears on day 4 ? Something unclear is here\n-- [Details on biological processing](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348761)\n-- [Cell proliferation cycle analysis](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/350314)\n-- [Analysis of correlations and some findings](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/351725)\n-- Seems ATAC-seq it is not really changing [Heatmap of ATAC-seq](https://www.kaggle.com/code/norifumiirie/heatmap-of-multiome-data?scriptVersionId=105460251&cellId=30) and same [by chromosome](https://www.kaggle.com/alexandervc/heatmap-of-atac-seq-multiome-data)\n\n    \n   ",
    "2032072": "Thanks for your effort for this competition, your thread is always interesting and informative.",
    "2029780": "**Day 92 14/11** no change: LB 0.816 Public: 0.812 (Incredible fighting top2-10 LB is changing very fast. 9 teams above 0.815, 45 teams above 0.814)\n\nLB is changing so fast:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fc7b8792c2af75221844395388e01e544%2FScreenshot%202022-11-14%20234150.png?generation=1668465729638918&alt=media)",
    "2028425": "**Day 91, 13/11 no change: LB 0.816 Public: 0.812**\n (The fight is very tough - top2-5 positions are quite interchanging,\nsubmissions can be seen every hour. 7 teams above 0.815. 30 teams above 0.814. The poll for shake-up reveals some fears: https://t.me/sberlogacompete/3232 )\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F6ca1402184667582da6e31ab1e866549%2FScreenshot%202022-11-13%20233712.png?generation=1668379062800764&alt=media)",
    "2023366": "**Day 87, 9/11 !!! Breakthrough LB 0.816 !!!** Public: 0.812 (Senkin&tmp break 0.816. Fourth team achieve 0.815 \"Protein Shake\" E191, 21 team above 0.814 )\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F607b277430115f1a54251a3ef63e1b4f%2FScreenshot%202022-11-09%20184744.png?generation=1668016075717636&alt=media)",
    "2019653": "**Day 84, 6/11** no change: LB 0.815  Public: 0.812+ ([New top public blend appeared](https://www.kaggle.com/code/liullllll/5-5-msci22-ensembling-citeseq), but still 0.812. Above 0.814 - 19 teams) \n**Day 83, 5/11** no change: LB 0.815  Public: 0.812 (Third team break 0.815 - Kha | MT | B | Ambros E268)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F3796167a1e14bb819235e4ce179b78be%2FScreenshot%202022-11-06%20204013.png?generation=1667764190148097&alt=media)",
    "2014282": "**Day 80, 2/11** no change: LB 0.815  Public: 0.812 (The first time top1 changed \"tmp\" 0.815 E39, senkin13 is now top2 0.815 E64) \n**Day 79, 1/11** no change: LB 0.815  Public: 0.812 (\"tmp\" is the second to break 0.815, 18 teams above 0.814, )\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fa587dbbc099b34d2a35b8060e7f2ec14%2FScreenshot%202022-11-02%20143707.png?generation=1667396277264497&alt=media)",
    "2001765": "**Day 70, 23/10** no change: LB 0.815  Public: 0.812 (5 teams above 0.814)\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2Fb222f0c2313434240f6e6b756c220ac8%2FScreenshot%202022-10-23%20212045.png?generation=1666604614764911&alt=media)",
    "1979933": "**Day 56, 9/10**  no change: LB 0.814  Public: 0.811 \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F13f1d3ebda3c48b93b2a360fb3c192e4%2FScreenshot%202022-10-09%20222219.png?generation=1665347026223790&alt=media)",
    "1957893": "Percent of HSC cells decrease daily,\nit might be \"differentiation\" (i.e. transformation to other cell types) or just worse survival.\n\nProbably for day 10, it will be even less HSC.\nThus if models depend on types - we need to take that into account. \n\nhttps://www.kaggle.com/code/ryumei1987/msci-eda?scriptVersionId=106560721&cellId=9\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F5139dd2094f420998486efd6056cedf5%2FScreenshot%202022-09-27%20093943.png?generation=1664264395840435&alt=media)",
    "1955133": "**Day 41, 25/09** no change: LB 0.814 Public: 0.811 ( MT E81 and AmbrosM achieved 0.812 E38 - Top2 and Top4)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F4f13f9ee8d0d93cb7e6654d6358136e5%2FScreenshot%202022-09-25%20202808.png?generation=1664130537597986&alt=media)\n",
    "1947412": "Hi Alexander:\n\nGreat work and very useful!\n\nThanks for sharing",
    "2031183": "Hi @alexandervc,\n\nThank for this great thread. It was very useful to me and was a perfect daily report about the competition status. I hope you be luck in the final ranking",
    "1988157": "## Pay attention - new data has been issued - raw counts:\nhttps://www.kaggle.com/competitions/open-problems-multimodal/discussion/359355\n\n**Day 61, 14/10** LB 0.814 Public: 0.811 (New top public: 0.811+ JUAN SMITH PERERA Adding to the Keras model a grouping based on donor x days. .\n\n### Congratulations to the second team reaching 0.814:\ndefinitelynot KhaVo+MT\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2262596%2F0aae3156cce1353dddf8e535c3fb8568%2FScreenshot%202022-10-15%20074258.png?generation=1665812596198739&alt=media)\n",
    "1979954": "It seems that we are blocked",
    "1955245": "That might be useful: \n1) https://www.kaggle.com/code/konomuabe/average-of-gene-id-and-day\n\"Simple Submission - Average by gene_id scored 0.741 This note book calculates average of gene_id grouped by the day. But the score is 0.748. \nDay may not affect the results much.\nLooking at CV, citeseq improves 0.0035 and multiome improves 0.0068 in correlation if days are taken into account.\n\"\nRemark: 0.741 - the scores BEFORE leak correction - now one should substruct about 0.048. \nThe pure average now gives 0.718 - see - https://www.kaggle.com/code/shuntarotanaka/simple-submission-average-by-gene-id\n\n2) \nAverages with respect to cell type give: 0.760  ! (Improvement from 0.718 for simple averages )\nSee https://www.kaggle.com/code/norifumiirie/simple-submission-mean-by-gene-id-and-cell-type?scriptVersionId=106556768 \n\n\n\n",
    "1937997": "",
    "2029159": "Wow, thank you this is great!!"
  }
}