{
  "total": 254,
  "topics": [
    {
      "id": 59128,
      "title": "Welcome!",
      "comment_count": 43,
      "views": 0,
      "votes": 47
    },
    {
      "id": 61314,
      "title": "Kaggle's response to questions about leakage",
      "comment_count": 51,
      "views": 0,
      "votes": 49
    },
    {
      "id": 61394,
      "title": "Speculation about the cause of the \"leak\" / data augmentation",
      "comment_count": 16,
      "views": 0,
      "votes": 49
    },
    {
      "id": 61190,
      "title": "Some Amazing Trick for Feature Engineering",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 63834,
      "title": "Private LB for strict leak hunters?",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 61202,
      "title": "Dealing with random seeds",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 60157,
      "title": "Zero values for ID in Test DataSet",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 63864,
      "title": "3rd place",
      "comment_count": 1,
      "views": 0,
      "votes": 30
    },
    {
      "id": 89712,
      "title": "can't oprn kaggle kernel on chrome",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63749,
      "title": "Congrats and Eid Mubarak!",
      "comment_count": 17,
      "views": 0,
      "votes": 18
    },
    {
      "id": 65272,
      "title": "Winner Solution - Giba & Lucasz",
      "comment_count": 6,
      "views": 0,
      "votes": 52
    },
    {
      "id": 59580,
      "title": "Anyone tried deep learning?",
      "comment_count": 17,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59307,
      "title": "CV vs LB",
      "comment_count": 39,
      "views": 0,
      "votes": 15
    },
    {
      "id": 62962,
      "title": "Verification Code not received to participatation",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 66025,
      "title": "Master thesis: Survey companies about Kaggle competitions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63822,
      "title": "5 place mini write-up",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 63907,
      "title": "Winner #1 Position Mini Writeup",
      "comment_count": 73,
      "views": 0,
      "votes": 122
    },
    {
      "id": 63734,
      "title": "Lessons learned",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64728,
      "title": "Is Santander going to use Winning solutions ? Right time to ask ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64385,
      "title": "Are Late Submissions going to be Enable?",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 63752,
      "title": "THERE IS A BUG AT KAGGLE",
      "comment_count": 59,
      "views": 0,
      "votes": 38
    },
    {
      "id": 64539,
      "title": "Competition Record Disappeared from LB",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 64166,
      "title": "Enabling Late Submission and Medals?",
      "comment_count": 28,
      "views": 0,
      "votes": 11
    },
    {
      "id": 63743,
      "title": "Justice",
      "comment_count": 33,
      "views": 0,
      "votes": 45
    },
    {
      "id": 64563,
      "title": "Treat every competition as an opportunity to learn!",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63931,
      "title": "#1 Solution: Leak Part",
      "comment_count": 5,
      "views": 0,
      "votes": 39
    },
    {
      "id": 63947,
      "title": "Final Submission Selection : Did you submit your best score ?",
      "comment_count": 18,
      "views": 0,
      "votes": 6
    },
    {
      "id": 63848,
      "title": "2nd place solution overview",
      "comment_count": 15,
      "views": 0,
      "votes": 35
    },
    {
      "id": 63753,
      "title": "Dropped from 2nd to 3566th",
      "comment_count": 26,
      "views": 0,
      "votes": 73
    },
    {
      "id": 63760,
      "title": "16 place mini write-up (before LB swaps)",
      "comment_count": 17,
      "views": 0,
      "votes": 47
    },
    {
      "id": 63919,
      "title": "6th place solution with kernel",
      "comment_count": 1,
      "views": 0,
      "votes": 21
    },
    {
      "id": 63758,
      "title": "Vote of Thanks and Lessons Learnt",
      "comment_count": 25,
      "views": 0,
      "votes": 29
    },
    {
      "id": 63757,
      "title": "The \"No-Leak\" Leaderboard",
      "comment_count": 24,
      "views": 0,
      "votes": 27
    },
    {
      "id": 63531,
      "title": "Appeal to Kaggle (Prohibit sharing of kernel)",
      "comment_count": 36,
      "views": 0,
      "votes": 53
    },
    {
      "id": 63799,
      "title": "14 place write-up",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 63866,
      "title": "My score get deleted from leader board and I'm not cheating",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63816,
      "title": "Was it worth the heat?",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63791,
      "title": "Another solution (40th place) and few questions left",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 63951,
      "title": "The property of the 6",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 63785,
      "title": "A drop from 31 to 216 - Trust LB or CV",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63616,
      "title": "Happy ending for Santander. Trust or not trust the leak?",
      "comment_count": 11,
      "views": 0,
      "votes": 19
    },
    {
      "id": 63812,
      "title": "10th place write up (simple)",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 63671,
      "title": "Vote of Thanks",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 63856,
      "title": "I jumped +10 on LB. Anyone else the same?",
      "comment_count": 14,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63831,
      "title": "Single Blendless Leakless LGBM 1.33 - List Of Features",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63882,
      "title": "I published my score with 0.55 score but My Rank not shown on Private Leader Board What's the reason?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63765,
      "title": "Question about the awards",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 63722,
      "title": "Thank you everyone....",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 63766,
      "title": "So why did satander gave such a dataset for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 63927,
      "title": "To kaggle: How much is 51% of 50k rows?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63754,
      "title": "149th solution",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 63750,
      "title": "Congratulations to the winners! And thank you all!",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63673,
      "title": "...a sign from God",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 63742,
      "title": "85th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 63803,
      "title": "Solution sharing",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63747,
      "title": "Cannot wait to see the Fully 8400 num of leaks",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63761,
      "title": "Congratulations! Well deserved award! ",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63826,
      "title": "127th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63815,
      "title": "missed the deadline",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63809,
      "title": "ETA for finalised LB",
      "comment_count": 5,
      "views": 0,
      "votes": -1
    },
    {
      "id": 63786,
      "title": "360th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 63767,
      "title": "Amazing final) Thanks to Giba and all competitors)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 63682,
      "title": "my submit file is submitted by other people,Is that cheating？",
      "comment_count": 10,
      "views": 0,
      "votes": -4
    },
    {
      "id": 63827,
      "title": "How is private LB score calculated?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 63773,
      "title": "So What is the Winner Kernel?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63741,
      "title": "This start we can't forget )) Good luck, my friends ))",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63759,
      "title": "Open test values?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63527,
      "title": "What if the data leak was not discovered? ",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63532,
      "title": "Too all football fans",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 63735,
      "title": "So now is the right time to share the high score kernels",
      "comment_count": 7,
      "views": 0,
      "votes": -7
    },
    {
      "id": 63515,
      "title": "Leaderboard changes",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 63580,
      "title": "CV Without leak ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61329,
      "title": "The Data \"Property\"",
      "comment_count": 98,
      "views": 0,
      "votes": 294
    },
    {
      "id": 63425,
      "title": "Does anybody else get an 'nan' error when using Gridsearch while using  'neg_mean_squared_log_error'",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63423,
      "title": "The leak suggests it's a time sequence, but I don't understand some \"leak extending solution\"",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63322,
      "title": "Looking for teammate to break 0.51",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61736,
      "title": "Best (No-Leak!) Single Model Score",
      "comment_count": 35,
      "views": 0,
      "votes": 23
    },
    {
      "id": 61472,
      "title": "Number of leaky rows",
      "comment_count": 137,
      "views": 0,
      "votes": 56
    },
    {
      "id": 63154,
      "title": "Currently 39th, Looking for a teammate for the last push",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 62372,
      "title": "ERROR: The value '7.63E+15' in the key column 'ID' has already been defined (Line 23029, Column 1)",
      "comment_count": 12,
      "views": 0,
      "votes": null
    },
    {
      "id": 61381,
      "title": "Appreciations for Giba - DataProperty Finder!",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 62801,
      "title": "Mode Value in Target",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62498,
      "title": "Appeal to Kaggle",
      "comment_count": 14,
      "views": 0,
      "votes": 58
    },
    {
      "id": 62475,
      "title": "Direct find target values",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 62992,
      "title": "Looking for teammate",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62677,
      "title": "Can I combine many gradient boosting trees using bagging technique",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 62446,
      "title": "Any suggestions about the feature extraction of unleaky samples?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61283,
      "title": "The leakage can be found by human but not the model, why?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 61515,
      "title": "Are all test leaks in the Public LB ?",
      "comment_count": 18,
      "views": 0,
      "votes": 14
    },
    {
      "id": 62157,
      "title": "Question about Bayesian Optimization",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 62603,
      "title": "Feature groups and leaks",
      "comment_count": 10,
      "views": 0,
      "votes": 7
    },
    {
      "id": 61113,
      "title": "Normalizing target",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 61347,
      "title": "Just want to ask if skopt is slow in para tune  ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 62790,
      "title": "Unable to find 279 required key values in the 'ID' column",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 62337,
      "title": "Any advice for the sprint finish?",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62445,
      "title": "An Honest Approach (1.37 LB Kernel)",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 62378,
      "title": "Secret Sauce 2 - Sandander Data are Website Clickstream Timestamps",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 60218,
      "title": "What Doesn't Work",
      "comment_count": 33,
      "views": 0,
      "votes": 21
    },
    {
      "id": 59299,
      "title": "Open Solution Journal [LB 1.38]",
      "comment_count": 27,
      "views": 0,
      "votes": 42
    },
    {
      "id": 62374,
      "title": "Is test set the train set and train set the test set?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61719,
      "title": "Number Blindness",
      "comment_count": 29,
      "views": 0,
      "votes": 8
    },
    {
      "id": 62101,
      "title": "What is Leaked Data?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 62296,
      "title": "selecting cross validation K",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62130,
      "title": "The Meaning of Other Columns",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 61847,
      "title": "Any cheap, online alternative to Low Memory Kaggle Kernels?",
      "comment_count": 19,
      "views": 0,
      "votes": 12
    },
    {
      "id": 61936,
      "title": "Meaning of extra columns beyond the famous 40",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61396,
      "title": "Special Sauce - the Santander Process is a Time Series",
      "comment_count": 12,
      "views": 0,
      "votes": 70
    },
    {
      "id": 61838,
      "title": "SVR eternal run",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61071,
      "title": "Data Leak or Data Property?",
      "comment_count": 60,
      "views": 0,
      "votes": 112
    },
    {
      "id": 61501,
      "title": "Is it still a competition?",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 62004,
      "title": "reduce file in R",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 61422,
      "title": "Deja vu",
      "comment_count": 6,
      "views": 0,
      "votes": 30
    },
    {
      "id": 61844,
      "title": "What are some good cross-validation strategies?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61806,
      "title": "Which is better GBM or Deep learning",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61172,
      "title": "There is a leak, what next?",
      "comment_count": 139,
      "views": 0,
      "votes": 117
    },
    {
      "id": 61288,
      "title": "64% fake rows in test dataset",
      "comment_count": 22,
      "views": 0,
      "votes": 62
    },
    {
      "id": 61852,
      "title": "Same score,different lb?,I want to know the reason?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 61408,
      "title": "How to avoid the data leakage?",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 61727,
      "title": "Anyone want to form a team?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 61431,
      "title": "Who do you trust - Local CV (ML) or Public LB (\"Magic\")?",
      "comment_count": 23,
      "views": 0,
      "votes": 11
    },
    {
      "id": 60972,
      "title": "Any Magic feature??",
      "comment_count": 68,
      "views": 0,
      "votes": 37
    },
    {
      "id": 61015,
      "title": "Congrats to @Simo Korkolainen",
      "comment_count": 47,
      "views": 0,
      "votes": 28
    },
    {
      "id": 61687,
      "title": "A competition that I will remember for a very long time!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61475,
      "title": "The Order of Things – Extending Giba's Property in R (40 Columns)",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 61734,
      "title": "Submission Bug",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 61212,
      "title": "Leak Hunting",
      "comment_count": 19,
      "views": 0,
      "votes": 22
    },
    {
      "id": 61365,
      "title": "The Crazy Lead",
      "comment_count": 16,
      "views": 0,
      "votes": 11
    },
    {
      "id": 61110,
      "title": "Chasing @Simo",
      "comment_count": 8,
      "views": 0,
      "votes": 25
    },
    {
      "id": 61635,
      "title": "Spyder ide not loading train data",
      "comment_count": 2,
      "views": 0,
      "votes": -6
    },
    {
      "id": 61442,
      "title": "How to Detect Data Leakage using python?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 61467,
      "title": "feels more like a christmas competition now",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61274,
      "title": "Just realized \"Santander 46 features\" are not the whole picture:)",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 61316,
      "title": "TIL: Lucas–Carmichael numbers",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 61254,
      "title": "56% Fake rows in Test Database",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 61369,
      "title": "Exploiting Giba's property",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 61141,
      "title": "Nice Ideas by gestalt-howard",
      "comment_count": 1,
      "views": 0,
      "votes": 21
    },
    {
      "id": 60928,
      "title": "Reducing the number of features [1.39 LB]",
      "comment_count": 14,
      "views": 0,
      "votes": 27
    },
    {
      "id": 61370,
      "title": "Submission problem",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 61189,
      "title": "Finding the leak",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 61557,
      "title": "Santander Unethical Business Practices",
      "comment_count": 0,
      "views": 0,
      "votes": -8
    },
    {
      "id": 60011,
      "title": "Why are people using np.exp(y) - 1 when passing parameters in the loss function?",
      "comment_count": 13,
      "views": 0,
      "votes": 4
    },
    {
      "id": 61356,
      "title": "Assuming Data as Time Series",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 61383,
      "title": "Struggling to see it as a time series. Any explanations?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 61183,
      "title": "Are we dealing with a time series dataset?",
      "comment_count": 23,
      "views": 0,
      "votes": null
    },
    {
      "id": 61224,
      "title": "Any suggestion for handling large dataset",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61169,
      "title": "Looking for a team-mate/mates",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61219,
      "title": "thoughts on filling zeros",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61181,
      "title": "There was YMCA we now have YACL",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 61038,
      "title": "TSNE on Olivers 46 features",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 60605,
      "title": "Feature scoring vs Adversarial validation",
      "comment_count": 23,
      "views": 0,
      "votes": 32
    },
    {
      "id": 61193,
      "title": "expm1",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61199,
      "title": "Group of similar data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60358,
      "title": "Same coefficient of variation : 233",
      "comment_count": 10,
      "views": 0,
      "votes": 11
    },
    {
      "id": 61117,
      "title": "Looking for a team mate",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61114,
      "title": "Can histogram help predictions?",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 60130,
      "title": "Why most kernels and discussions using and referencing LightGBM? Any particular reasons for that?",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 60015,
      "title": "Best Single Model Score?  [1.37]",
      "comment_count": 83,
      "views": 0,
      "votes": 26
    },
    {
      "id": 61072,
      "title": "@Giba- Did you just discover the Black Magic!! :P",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61191,
      "title": "Looking for team mate",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 61144,
      "title": "Predicting if target is in input",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61037,
      "title": "Anyone considering R2 score as evaluation parameter ?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 60845,
      "title": "correlations with target (observation)",
      "comment_count": 10,
      "views": 0,
      "votes": 14
    },
    {
      "id": 59238,
      "title": "How fair is the timeline for Santander?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 61070,
      "title": "It looks like someone found an easter egg? LB: 0.84?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61026,
      "title": "Looking for a team/mentor)",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 60368,
      "title": "Overfitting to CV score",
      "comment_count": 16,
      "views": 0,
      "votes": 19
    },
    {
      "id": 61034,
      "title": "What is Data Leak? LB Feedback?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60985,
      "title": "Stacked Ensemble using H2o--RMSLE 1.39 (Local CV)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 61091,
      "title": "test.csv file not accessible",
      "comment_count": 2,
      "views": 0,
      "votes": -9
    },
    {
      "id": 61009,
      "title": "How to find if my validation data is similar to the test set? ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 60719,
      "title": "Need help understanding the results",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60178,
      "title": "Are you able to open 'test.csv' file?",
      "comment_count": 14,
      "views": 0,
      "votes": 0
    },
    {
      "id": 60919,
      "title": "Why log1p Xtrain and Xtest failed to improve score",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60975,
      "title": "Towards more robust model selection methods ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60537,
      "title": "I'm hitting the plateau .  Can anyone give me some advice ?",
      "comment_count": 15,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59789,
      "title": "Test file size 49344 lines?",
      "comment_count": 21,
      "views": 0,
      "votes": 12
    },
    {
      "id": 60876,
      "title": "Can't even open train.csv correctly in R",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 60187,
      "title": "Looking for a teammate for this competition.",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60837,
      "title": "Less no.of rows than what are required for submission?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60749,
      "title": "ready to make a group",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 60737,
      "title": "Any one tried Lasso or Elastic-net model for prediction?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 60437,
      "title": "Submission result giving error",
      "comment_count": 16,
      "views": 0,
      "votes": 0
    },
    {
      "id": 60787,
      "title": "Failed attempt at stacking models. Any suggestions to improve",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60720,
      "title": "Need help understanding the results",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 60056,
      "title": "Where are the errors?",
      "comment_count": 11,
      "views": 0,
      "votes": 33
    },
    {
      "id": 59611,
      "title": "Error During Submission [Solved]",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60630,
      "title": "Why do some people drop \"duplicate\" features?",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 60155,
      "title": "Looking for a Team",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 59840,
      "title": "binarized features produce decent results",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 60234,
      "title": "Any one faced this error ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59721,
      "title": "Any one tried PCA?",
      "comment_count": 20,
      "views": 0,
      "votes": 4
    },
    {
      "id": 60542,
      "title": " SVD-Lasso combination",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60055,
      "title": "Nice little observation...",
      "comment_count": 8,
      "views": 0,
      "votes": 31
    },
    {
      "id": 60375,
      "title": "Why are many people unnecessarily dropping test features even when they aren't constant",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 60158,
      "title": "How use neuralnet?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59919,
      "title": "Boxcox, Converting to float32 and PCA, SVD Components...",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 60253,
      "title": "Submission limit per day",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60380,
      "title": "Understanding Of Data",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 60195,
      "title": "How to learn from constants?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59659,
      "title": "Admiration for Jack",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 60317,
      "title": "Is it legal to use test data for build model? ",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 60040,
      "title": "Which algorithm to use?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60349,
      "title": "Could it be overfit?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 60341,
      "title": "Looking for a teammate for this competition.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60133,
      "title": "Anyone using some sort of features extraction other than correlation and PCA (and variants)?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60344,
      "title": "Ranking order",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59209,
      "title": "Joining a Team",
      "comment_count": 61,
      "views": 0,
      "votes": 4
    },
    {
      "id": 60184,
      "title": "Local CV 1.34 ===> LB score 1.47, Overfitting???",
      "comment_count": 15,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60303,
      "title": "submission is HANGING Cannot cancel or resubmit",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60268,
      "title": "random forest trees",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 60159,
      "title": "too few samples.",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 60134,
      "title": "Public LB (kaggle organizers?)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59266,
      "title": "Train/Test data sets",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59996,
      "title": "Simple magic feature - Row Geometric Mean ~ LB 1.55",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59139,
      "title": "Size of Real Test Set",
      "comment_count": 12,
      "views": 0,
      "votes": 14
    },
    {
      "id": 60149,
      "title": "Relation between validation rmse and public LB?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60125,
      "title": "Error while transforming the test set",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60099,
      "title": "Skills or tricks sharing",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59456,
      "title": "Negative values in the target variable",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 59399,
      "title": "Data Leakage ?",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59924,
      "title": "Any body found optimal N_Components value for PCA,tSVD etc??",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 59255,
      "title": "Approaches to take when #Columns exceed #Rows!",
      "comment_count": 21,
      "views": 0,
      "votes": 16
    },
    {
      "id": 59384,
      "title": "Dimensionality Reduction PCA on the data set",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59237,
      "title": "Question: Column name meannings",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59908,
      "title": "sample_submission.csv got 51044 lines while test got 49343",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59832,
      "title": "Feature Engineering",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59798,
      "title": "Any reason for the splitting of training and testing data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59131,
      "title": "Good memories",
      "comment_count": 11,
      "views": 0,
      "votes": 21
    },
    {
      "id": 59211,
      "title": "Are train/test data coming from the same distribution?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59598,
      "title": "Tidy Project Structure Request",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59542,
      "title": "Unable to run my code using the kernel",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59676,
      "title": "Predictions before commit and after commit aren't matching!!!!",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 59492,
      "title": "Question about generalization",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59469,
      "title": "What kind of knowledge are we supposed to learn?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59317,
      "title": "I can not see the old version of the kernel",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59477,
      "title": "tips on sklearn PCA + xgboost trouble",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59463,
      "title": "Using the dataset for commercial education purposes",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59282,
      "title": "data sets",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59204,
      "title": "What a nice surprise",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59172,
      "title": "Test and Train Data Have Different Distribution",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 59179,
      "title": "Make Santander competition great again",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 59310,
      "title": "Good link about Adversarial validation",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59401,
      "title": "Validation Strategy",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59357,
      "title": "can't load data on train.csv",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59371,
      "title": "Looking to add one Waterloo region member to join our team for Santader Value Prediction Challenge",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59287,
      "title": "Can not open files",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59256,
      "title": "Split Train and Test Data",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59349,
      "title": "Team members",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59210,
      "title": "data file not in right format",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59174,
      "title": "Can We Have Feature Categories and Order?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59205,
      "title": "How to participate if I can do the competition by Azure Machine Learning studio only?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59272,
      "title": "Description of the data",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59157,
      "title": "Files not opening",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59257,
      "title": "File Opening Issue [Solved]",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}