{
  "total": 529,
  "topics": [
    {
      "id": 57054,
      "title": "Welcome note from Home Credit",
      "comment_count": 181,
      "views": 0,
      "votes": 115
    },
    {
      "id": 63940,
      "title": ">> Public Sharing of High-Scoring Kernels",
      "comment_count": 29,
      "views": 0,
      "votes": 116
    },
    {
      "id": 64440,
      "title": "Submission selections can only be made by team leads",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 56998,
      "title": "Welcome!",
      "comment_count": 15,
      "views": 0,
      "votes": 36
    },
    {
      "id": 521953,
      "title": "Time period",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 476020,
      "title": "How do I download the data used in this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 481061,
      "title": "Leaderboard after new metrics?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 476108,
      "title": "Understanding Submission rule from a Team's perspective.",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 424958,
      "title": "Gentle Explanation for Beginners  💡⚡️",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 226012,
      "title": "Data usage for research purposes.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 417499,
      "title": "probleme de telechargement de donnee ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63032,
      "title": "More domain knowledge from former Home Credit analyst",
      "comment_count": 38,
      "views": 0,
      "votes": 217
    },
    {
      "id": 391470,
      "title": "Handling missing values by using ML algorithms",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182874,
      "title": "Scientific Paper",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 64821,
      "title": "1st Place Solution",
      "comment_count": 99,
      "views": 0,
      "votes": 477
    },
    {
      "id": 64510,
      "title": "**COMPETITION WRITEUP INDEX** (UPDATING!!!)",
      "comment_count": 16,
      "views": 0,
      "votes": 87
    },
    {
      "id": 57139,
      "title": "Extensive EDA for Home Credit Default Risk",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 337412,
      "title": "cross validation part",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 331841,
      "title": "Why I am getting 0 predictions for higher probability and 1 for lower probability with LogisticRegression when predicting Probability of Default?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 328374,
      "title": "Question on quantifying importance of feature in multiclass classification",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64503,
      "title": "17th place mini writeup",
      "comment_count": 30,
      "views": 0,
      "votes": 80
    },
    {
      "id": 64609,
      "title": "Story behind the 32nd place (top 1%) with 2 submissions",
      "comment_count": 23,
      "views": 0,
      "votes": 54
    },
    {
      "id": 303900,
      "title": "Can someone help me load the dataset/csv using urls?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 286633,
      "title": "What is the NAME_EDUCATION_TYPE in application data?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269037,
      "title": "Definition of Defaulters",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 263648,
      "title": "Clustering the dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 252829,
      "title": "EXT_SOURCE fields ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 223602,
      "title": "Need detailed explanation for a column in credit_card_balance.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 218183,
      "title": "License of data for scientific publications",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64487,
      "title": "4th place sharing and tips about having a good teamwork experience",
      "comment_count": 64,
      "views": 0,
      "votes": 77
    },
    {
      "id": 216143,
      "title": "Submission failed with error. Submission file is not empty still getting this error. Also file size is 5.3 MB. Can anyone suggest?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58332,
      "title": "A few notes...",
      "comment_count": 194,
      "views": 0,
      "votes": 458
    },
    {
      "id": 210428,
      "title": "Time period of the loans",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201270,
      "title": "NAME_PORTFOLIO\t",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 197942,
      "title": "Extra tables for test data aren't necessary?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59347,
      "title": "Best Algorithms for Home Credit Default Risk",
      "comment_count": 10,
      "views": 0,
      "votes": 16
    },
    {
      "id": 195346,
      "title": "Is it possible to get the labels of testing data?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 60921,
      "title": "Comparison between LGB boosting methods (goss, gbdt and dart)",
      "comment_count": 13,
      "views": 0,
      "votes": 93
    },
    {
      "id": 57492,
      "title": "Importing data to BigQuery",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 178660,
      "title": "Uncertain day information in the previous_application table",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57750,
      "title": "Feature Engineering with BUREAU DATA - 10 FEATURES",
      "comment_count": 29,
      "views": 0,
      "votes": 94
    },
    {
      "id": 163963,
      "title": "Doubts regarding bureau.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 130413,
      "title": "Validation Score Vs LB",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 128996,
      "title": "Starter ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59873,
      "title": "One hot encoder VS labelencoder",
      "comment_count": 24,
      "views": 0,
      "votes": 9
    },
    {
      "id": 121012,
      "title": "Question for Channel's Meaning",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64625,
      "title": "Overview of the 5th solution [+0.004 to CV/Private LB of your model]",
      "comment_count": 74,
      "views": 0,
      "votes": 117
    },
    {
      "id": 70517,
      "title": "When to use scikitlearn's label encoder",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113041,
      "title": "Use of Home Credit Data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58594,
      "title": "Deciding how to fill Nan values",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64480,
      "title": "I am speechless",
      "comment_count": 162,
      "views": 0,
      "votes": 202
    },
    {
      "id": 109453,
      "title": "Why is the interest rate of the loan OR the period over which the annuity is paid not given?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 102326,
      "title": "Simple ML Algorithms Vs DL ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 58353,
      "title": "feature importance in LightGBM",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64593,
      "title": "13th place - time series features",
      "comment_count": 11,
      "views": 0,
      "votes": 55
    },
    {
      "id": 60521,
      "title": "Collect all discussion in Home Credit Default Risk",
      "comment_count": 8,
      "views": 0,
      "votes": 117
    },
    {
      "id": 96422,
      "title": "Data Description and interpretation  ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 87577,
      "title": "Country of this dataset?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 95454,
      "title": "External Sources",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64004,
      "title": "Broken skopt?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59575,
      "title": "Faster data loading with Pandas",
      "comment_count": 9,
      "views": 0,
      "votes": 21
    },
    {
      "id": 82147,
      "title": "Dissertation",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 90488,
      "title": "Problem with kernel loading",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59806,
      "title": "lightgbm `goss` better?",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 63499,
      "title": "Linear SVC - No predict_proba",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59223,
      "title": "lightGBM GPU version v.s lightGBM CPU version",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64045,
      "title": "Concerns regarding the competitive spirit- 105 Gold medals awarded",
      "comment_count": 175,
      "views": 0,
      "votes": 203
    },
    {
      "id": 59503,
      "title": "LightGBM GPU slower?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 74236,
      "title": "Home Credit Internal Models",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 60230,
      "title": "I found something weird, my LB rose and fell with my CV before I reached 0.795. But when my CV goes higher, my LB drops. I can't figure out what happened...",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 60086,
      "title": "Question about bayesian optimization CPU vs GPU",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64474,
      "title": "8th Solution Overview",
      "comment_count": 60,
      "views": 0,
      "votes": 78
    },
    {
      "id": 64592,
      "title": "# 19th solution",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 72655,
      "title": "dummies",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 60338,
      "title": "AUC of CatBoost always under LightGBM",
      "comment_count": 63,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64532,
      "title": "Compiled solutions (will be updated! ) ",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 64596,
      "title": "3rd place solution",
      "comment_count": 31,
      "views": 0,
      "votes": 104
    },
    {
      "id": 58950,
      "title": "How LightGBM deals with categorical features",
      "comment_count": 6,
      "views": 0,
      "votes": 37
    },
    {
      "id": 64485,
      "title": "Congratulations, Thanks and Finding!!!",
      "comment_count": 37,
      "views": 0,
      "votes": 86
    },
    {
      "id": 64580,
      "title": "7th solution -  **Not great things but small things in a great way.**",
      "comment_count": 22,
      "views": 0,
      "votes": 47
    },
    {
      "id": 64541,
      "title": "What a Team !",
      "comment_count": 19,
      "views": 0,
      "votes": 41
    },
    {
      "id": 66010,
      "title": "31st place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 58787,
      "title": "Kaggle Kernels : Using GPU with XGBoost ",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64722,
      "title": "2nd place solution ( team ikiri_DS )",
      "comment_count": 56,
      "views": 0,
      "votes": 122
    },
    {
      "id": 57175,
      "title": "Open Solution Journal [LB 0.806]",
      "comment_count": 280,
      "views": 0,
      "votes": 149
    },
    {
      "id": 63131,
      "title": "Environment Variables console not showing up",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 66026,
      "title": "Master thesis: Survey companies about Kaggle competitions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64590,
      "title": "Feature Selection Strategies, Esp for L1",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 64869,
      "title": "Will it Blend?",
      "comment_count": 32,
      "views": 0,
      "votes": 14
    },
    {
      "id": 64908,
      "title": "Reflections from the biggest fall on Leaderboard (among gold medal contenders)",
      "comment_count": 5,
      "views": 0,
      "votes": 43
    },
    {
      "id": 64598,
      "title": "10th place writeup",
      "comment_count": 21,
      "views": 0,
      "votes": 44
    },
    {
      "id": 64784,
      "title": "Some small findings from a part of 2nd place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 45
    },
    {
      "id": 64502,
      "title": "#14 solution",
      "comment_count": 19,
      "views": 0,
      "votes": 42
    },
    {
      "id": 64505,
      "title": "The 16th Solution",
      "comment_count": 11,
      "views": 0,
      "votes": 39
    },
    {
      "id": 64504,
      "title": "#12 solution",
      "comment_count": 15,
      "views": 0,
      "votes": 41
    },
    {
      "id": 64536,
      "title": "#9 Solution",
      "comment_count": 17,
      "views": 0,
      "votes": 30
    },
    {
      "id": 64684,
      "title": "My first experience on kaggling by building a ML pipeline",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 64548,
      "title": "24th place - Simple Solution with 7 Models.",
      "comment_count": 18,
      "views": 0,
      "votes": 35
    },
    {
      "id": 65038,
      "title": "Will it Blend #2 ?",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 64693,
      "title": "Pseudo Data Augmentation (27th place short writeup)",
      "comment_count": 4,
      "views": 0,
      "votes": 17
    },
    {
      "id": 64436,
      "title": "Meta Kaggle:  What happened to the team size?",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 64585,
      "title": "Is there any successful NN model?",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 64890,
      "title": "Kernel for my (relative) beginner's 561st place solo submission",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 64382,
      "title": "Anyone With a 0.818 Submission?",
      "comment_count": 18,
      "views": 0,
      "votes": 24
    },
    {
      "id": 64830,
      "title": "A top solution note for everyone.",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 65113,
      "title": "No Ranking on Leaderboard.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64478,
      "title": "Congratulations",
      "comment_count": 34,
      "views": 0,
      "votes": 42
    },
    {
      "id": 64201,
      "title": "What's your shake up expectation ?",
      "comment_count": 82,
      "views": 0,
      "votes": 27
    },
    {
      "id": 64571,
      "title": "Thank you all for participating in the competition!",
      "comment_count": 8,
      "views": 0,
      "votes": 27
    },
    {
      "id": 64555,
      "title": "Fast, scalable and maintainable ML project architecture",
      "comment_count": 8,
      "views": 0,
      "votes": 23
    },
    {
      "id": 64402,
      "title": "Understand the LB and do not feel bad if you drop",
      "comment_count": 13,
      "views": 0,
      "votes": 41
    },
    {
      "id": 64545,
      "title": "A round of applause for inversion",
      "comment_count": 3,
      "views": 0,
      "votes": 26
    },
    {
      "id": 64476,
      "title": "CV was spot on!",
      "comment_count": 17,
      "views": 0,
      "votes": 8
    },
    {
      "id": 64378,
      "title": "First time kagglers, how's your score? ",
      "comment_count": 29,
      "views": 0,
      "votes": 23
    },
    {
      "id": 64475,
      "title": "What I learnt from this game ---- trust cv",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 64600,
      "title": "Simple feature that made public kernels top 50 (and thanks!)",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 64412,
      "title": "Many thanks!",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 64497,
      "title": "Special note from a new kaggler",
      "comment_count": 21,
      "views": 0,
      "votes": 15
    },
    {
      "id": 64490,
      "title": "Amazing finish with an amazing team",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 64519,
      "title": "Huge thanks to the community from a group of high schoolers",
      "comment_count": 7,
      "views": 0,
      "votes": 18
    },
    {
      "id": 64282,
      "title": "New King? ;)",
      "comment_count": 26,
      "views": 0,
      "votes": 13
    },
    {
      "id": 64481,
      "title": "Thank you and Congrats",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 64518,
      "title": "Is pb0.80449 the best single model?",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 64496,
      "title": "Did you use Scirpus features?",
      "comment_count": 14,
      "views": 0,
      "votes": 3
    },
    {
      "id": 64488,
      "title": "No medal？",
      "comment_count": 19,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64718,
      "title": "Good  choice to be competitive without stacking",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 64288,
      "title": "Time for one last strategy/therapy session",
      "comment_count": 16,
      "views": 0,
      "votes": 15
    },
    {
      "id": 64552,
      "title": "Analyzing private vs public leader board ranks by approach",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64492,
      "title": "[the reason of overfit to LB?] the distributions of SK_ID_CURR",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 64477,
      "title": "Cheaters are annoying",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 64507,
      "title": "It's the first competition I joined on Kaggle .Thank you everyone.",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 64500,
      "title": "Thanks for saying \"TRUST YOUR LOCAL CV!!!\"",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 64508,
      "title": "where is my medal?",
      "comment_count": 20,
      "views": 0,
      "votes": null
    },
    {
      "id": 64603,
      "title": "Question from a noob. When to discard a model",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 64495,
      "title": "On teamwork....",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 64567,
      "title": "How you've overcome difference between CV and LB?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 64422,
      "title": "I am Getting CV around 0.95 with 80:20 ratio between train and test!",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64407,
      "title": "Get your parachute, helmet and gears ready.",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 64491,
      "title": "Seeing the private LB scores, lets discuss why the big shakeup happened.",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 64546,
      "title": "It was a great competition!",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 64513,
      "title": "Interesting tricks from the leaders (aggregated, updating)",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 64086,
      "title": "Leaderboard Progression Animation",
      "comment_count": 9,
      "views": 0,
      "votes": 21
    },
    {
      "id": 64626,
      "title": "Does any team have useful methods in filing missing value ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64472,
      "title": "Who is waiting for final rank?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64484,
      "title": "Congrats to the Winners and the rest of us.  Is the private LB to be cleaned yet?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64509,
      "title": "Kaggle Hack?",
      "comment_count": 6,
      "views": 0,
      "votes": -15
    },
    {
      "id": 64473,
      "title": "Some details that most public kernels seem to have neglected",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 64222,
      "title": "Bestfitting  coming , so terrible",
      "comment_count": 13,
      "views": 0,
      "votes": 8
    },
    {
      "id": 64560,
      "title": "LightGBM and GPU - non reproducible results",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64553,
      "title": "Change of submission after deadline?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64556,
      "title": "One of the largest competitions on Kaggle",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64191,
      "title": "How much do you trust the public leaderboard?",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 64327,
      "title": "Dealing with NAs in python - multiple imputation",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64400,
      "title": "Large teams, hopefully interesting solutions",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64515,
      "title": "Great kernels",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64465,
      "title": "How to find the best num_boost_round when training with all training data?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64529,
      "title": "Congrats",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64523,
      "title": "Medals showing on profile",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64506,
      "title": "Congratulations and some blablabla from a new comer",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64479,
      "title": "Why can not I select 2 submissions?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 64499,
      "title": "where to save my choose in final submission",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64463,
      "title": "Late submissions",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 63921,
      "title": "Last Hour Team Up !!!",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64396,
      "title": "How to select the final two submissions for higher private LB?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64431,
      "title": "Models with Higher CV over LB",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 64317,
      "title": "Blending Strategy",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 64308,
      "title": "Choice of correlation threshold for ensembling",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 64368,
      "title": "Is there any possibility to extend the final submission deadline for a week ?",
      "comment_count": 4,
      "views": 0,
      "votes": -14
    },
    {
      "id": 64014,
      "title": "their team name just like a poem",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 64011,
      "title": "Kaggle reaches 2M members with 8,179 at HomeCredit",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 62983,
      "title": "Pure GP",
      "comment_count": 32,
      "views": 0,
      "votes": 38
    },
    {
      "id": 64258,
      "title": "some python problems about feature select",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 64059,
      "title": "Anyone Got Any Spare Mechanical Turks?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63958,
      "title": "What will happen after `Rules Acceptance Deadline`?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 62614,
      "title": "Best Single and Ensemble Score [0.807] --> [0.809]",
      "comment_count": 80,
      "views": 0,
      "votes": 37
    },
    {
      "id": 64114,
      "title": "Getting evaluation error using Keras FFNN",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63557,
      "title": "How many features do you use ?",
      "comment_count": 16,
      "views": 0,
      "votes": 4
    },
    {
      "id": 63858,
      "title": "New to Kaggle, looking for members to merge ",
      "comment_count": 22,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63560,
      "title": "One Person  First time，and you?",
      "comment_count": 23,
      "views": 0,
      "votes": 11
    },
    {
      "id": 62893,
      "title": "6000 Teams",
      "comment_count": 19,
      "views": 0,
      "votes": 29
    },
    {
      "id": 63852,
      "title": "How to design LightGBM features",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 63916,
      "title": "issued in automated feature engineering",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62977,
      "title": "The difference of feature engineering between NN and LGBM?",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63967,
      "title": "Blending and ensembling methods",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63357,
      "title": "How about forming a team ?",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63602,
      "title": "About KFold",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63727,
      "title": "Huge gaps of CVs but similar results of LBs?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 63839,
      "title": "Looking for a team",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 63818,
      "title": "Let's form a team and work on it together",
      "comment_count": 16,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63524,
      "title": "Header for submission",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 63777,
      "title": "Merger invitation for LB > [0.802] ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63828,
      "title": "the only thing I dont like about Kaggle!",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 63174,
      "title": "New Kagglers , how about form a team and rank in 1%?",
      "comment_count": 52,
      "views": 0,
      "votes": 6
    },
    {
      "id": 63607,
      "title": "Look for a team merge (cv 0.799+)",
      "comment_count": 14,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63772,
      "title": "Looking for teammates with similar score",
      "comment_count": 14,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63806,
      "title": "Ext sources features",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62985,
      "title": "How to build a second level model?",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63609,
      "title": "What step do you think is the most powerful to break up baseline?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63348,
      "title": "What is \"[ods.ai] Crowd\" reference result?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 63541,
      "title": "Confusion metrics improve but submission scores decrease - why?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 63460,
      "title": "any successes with Neural Networks in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63006,
      "title": "how do people come up with such parameters",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63182,
      "title": "who can solve my confusion about the abnormal feature importance and LB score",
      "comment_count": 13,
      "views": 0,
      "votes": null
    },
    {
      "id": 63465,
      "title": "Tactical Merger?",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 63336,
      "title": "Anyone knows what does \"Sold\" mean?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63145,
      "title": "How can we make blending more stable and generalized ?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63260,
      "title": "Is this feature helpful?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 61781,
      "title": "Introduction to stacking and ensembling in general",
      "comment_count": 21,
      "views": 0,
      "votes": 44
    },
    {
      "id": 62122,
      "title": "[Interesting] Is the data from Kazakhstan?",
      "comment_count": 12,
      "views": 0,
      "votes": 52
    },
    {
      "id": 62791,
      "title": "Strange thing about AMT_CREDIT_SUM_LIMIT in bureau",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63139,
      "title": "ideal correlation for stacking the models",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62707,
      "title": "Why is AMT_CREDIT_TO_ANNUITY_RATIO a strong feature?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 62104,
      "title": "We are flying blind",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 63173,
      "title": "Our team is looking for another top 100 player to join us",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 61637,
      "title": "Where have the Neural Networks gone?",
      "comment_count": 29,
      "views": 0,
      "votes": 7
    },
    {
      "id": 62870,
      "title": "Any cost effective server to run the code?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63156,
      "title": "High percentage installments paid past due",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63152,
      "title": "Suggestions for finishing the competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62392,
      "title": "How do you aggregate the datasets?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 62863,
      "title": "interpretation of kurtosis",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 62898,
      "title": "Random_state's huge impact.....",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63013,
      "title": "How to deal with all features related to APARTMENT",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62948,
      "title": "Need a teamate?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 61273,
      "title": "Adversarial Thread",
      "comment_count": 14,
      "views": 0,
      "votes": 24
    },
    {
      "id": 62024,
      "title": "New Teammate",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 62807,
      "title": "Difference between OBS and DEF_CNT_SOCIAL_CIRCLE?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59954,
      "title": "Why I happily use K-Fold",
      "comment_count": 26,
      "views": 0,
      "votes": 33
    },
    {
      "id": 62102,
      "title": "She said she was <awesome>",
      "comment_count": 8,
      "views": 0,
      "votes": 35
    },
    {
      "id": 62877,
      "title": "credit_card_balance.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62669,
      "title": "kde plot and correlation",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62828,
      "title": "Kernel that compared train/test distributions",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62515,
      "title": "Are you using \"is_unbalance\" from LightGBM parameter ? ",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 60855,
      "title": "For previous_application, why approved records' AMT_CREDIT's value is zero?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 62716,
      "title": "Team ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62613,
      "title": "How precisely is the LB score calculated?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 62322,
      "title": "contract type 'Consumer loans' don't appear in train/test. possible?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62598,
      "title": "Meaning of columns in previous_application.csv (values 365243?)",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 62385,
      "title": "Open Solution LB 0.799",
      "comment_count": 2,
      "views": 0,
      "votes": 18
    },
    {
      "id": 61843,
      "title": "Ordinal variables ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61603,
      "title": "I got stuck. Any suggestions from Kegglers?",
      "comment_count": 28,
      "views": 0,
      "votes": 10
    },
    {
      "id": 62542,
      "title": "Uploading data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 62510,
      "title": "On Deep Learning and automatic features selection",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 62538,
      "title": "Data definition",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 61732,
      "title": "Looking for teammate who can run Open Solution .804 LB",
      "comment_count": 4,
      "views": 0,
      "votes": -23
    },
    {
      "id": 61655,
      "title": "how do you deal with the unreliable variables",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62489,
      "title": "Consolidation of normalized features pertaining to the building",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62391,
      "title": "Submission end date?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62283,
      "title": "Can kNN achieve a reasonable score?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 62375,
      "title": "Generic LightGBM code for R",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 60934,
      "title": "Nothing: 2nd attempt at \"safe harbor\" thread for random ideas",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62358,
      "title": "Training dataset - Target Variable 1 or 0 Count",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62277,
      "title": "What to do with features that have feature importance but do not increase CV score?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60806,
      "title": "Careers @ HomeCredit",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 62303,
      "title": "Can someone explain standard deviation when it comes to CV ? Or direct me towards some reading that will?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 61683,
      "title": "Is test data drastically different from train data ? ",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 62063,
      "title": "Cash /revolving loans distributions",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61933,
      "title": "FeatureTools workshop open link",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 62034,
      "title": "Is this model crazy? ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59505,
      "title": "Different training score dues to number of CPUs",
      "comment_count": 22,
      "views": 0,
      "votes": 6
    },
    {
      "id": 60217,
      "title": "Meaning of positive values in 'DAYS_CREDIT_UPDATE'",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62129,
      "title": "Looking for Teammate(Closed)",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60713,
      "title": "blending public kernels (abortive attempt at \"safe harbor\" thread)",
      "comment_count": 39,
      "views": 0,
      "votes": 18
    },
    {
      "id": 61353,
      "title": "Meaning of NAME_PRODUCT_TYPE in previous_applications?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61613,
      "title": "About the objective for those using GBM (LightGBM, xgboost, catboost)",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 61994,
      "title": "What is AUC score is 0.5 and what to do",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 61738,
      "title": "Does LightGBM penalizes for more number of columns?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62009,
      "title": "Max AUC from just the application_train file",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 61482,
      "title": "Out of curiosity, how long are you all training your models?",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 61898,
      "title": "Lower learning rate , better generalization? ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 61989,
      "title": "should coding based on live score or cv score?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60471,
      "title": "Application of PCA makes the auc scores drop dramatically",
      "comment_count": 15,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59760,
      "title": "Clients with 19 Children (Outlier or not but damn!)",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57886,
      "title": "Best Single Model on Public",
      "comment_count": 150,
      "views": 0,
      "votes": 50
    },
    {
      "id": 61920,
      "title": "Normalized info about building (APARTMENTS_AVG, etc)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 61476,
      "title": "Lower learning rate leads to worse score?",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61379,
      "title": "Best LB score without gradient boosting",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 61795,
      "title": "Are any of the prev application records still active?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 61758,
      "title": "How to perform feature analysis / selection?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61597,
      "title": "The best model for this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 60860,
      "title": "Here's what 0.792 ROC AUC really looks like.",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 57918,
      "title": "How LightGBM handles missing values?",
      "comment_count": 8,
      "views": 0,
      "votes": 39
    },
    {
      "id": 57912,
      "title": "FEATURE ENGINEERING - CREDIT CARD BALANCE - 8 FEATURES ",
      "comment_count": 6,
      "views": 0,
      "votes": 22
    },
    {
      "id": 61384,
      "title": "How do you know the meaning of each variable? ",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60757,
      "title": "What do the AMT_RECEIVABLE features in Credit_card_balance represent?",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 61337,
      "title": "Thinking about forming a team?",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 58445,
      "title": "Interpreting the BUREAU_BALANCE table",
      "comment_count": 29,
      "views": 0,
      "votes": 52
    },
    {
      "id": 61511,
      "title": "Over/Under Sampling",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61291,
      "title": "Collection of failed ideas",
      "comment_count": 13,
      "views": 0,
      "votes": 8
    },
    {
      "id": 61684,
      "title": "Trouble loading the data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 61624,
      "title": "Tuning regularization hyperparameters",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61205,
      "title": "Congrats China!",
      "comment_count": 20,
      "views": 0,
      "votes": 8
    },
    {
      "id": 60734,
      "title": "Difference between AMT_PAYMENT_CURRENT and AMT_PAYMENT_TOTAL_CURRENT?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 61361,
      "title": "What exactly does AMT_ANNUITY means?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58503,
      "title": "About bureau data. > DAYS_CREDIT_ENDDATE",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61132,
      "title": "Is there anyone can check the status when running the kernel",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61270,
      "title": "Variable Definitions: Installments Payment Data",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61299,
      "title": "LGBMerror: bad allocation? How does it happen?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 60494,
      "title": "Kaggle Words For Beginner",
      "comment_count": 43,
      "views": 0,
      "votes": 47
    },
    {
      "id": 57844,
      "title": "How much does stacking/blending give you? Thx",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61195,
      "title": "Memory error while trying to impute missing values in training data",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 57958,
      "title": "[FUN]: Highest CV / minimum features / only application_sets",
      "comment_count": 68,
      "views": 0,
      "votes": 32
    },
    {
      "id": 61182,
      "title": "Help : Kernal UI Changed/Issue ? Cannot see the Run Time/Log for the current running kernel . Even No output tab after kernel is finished running ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61276,
      "title": "Stacking problem",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 57654,
      "title": "ROC concept and AUC metric",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 61036,
      "title": "Do you have external resources to help?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 60421,
      "title": "SK_DPD vs SK_DPD_DEF",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 60534,
      "title": "help,stacking not improve lb",
      "comment_count": 23,
      "views": 0,
      "votes": 4
    },
    {
      "id": 60894,
      "title": "Any help with Time Series features!!",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 61140,
      "title": "How does the random_state influence the spliting results of cv? ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 58600,
      "title": "Xgboost GPU->CPU Improvement",
      "comment_count": 12,
      "views": 0,
      "votes": 14
    },
    {
      "id": 60506,
      "title": "What's your Dev environment?",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 60642,
      "title": "categorical_features in LightGBM?",
      "comment_count": 15,
      "views": 0,
      "votes": 5
    },
    {
      "id": 58391,
      "title": "More advanced way to deal with missing data",
      "comment_count": 15,
      "views": 0,
      "votes": 9
    },
    {
      "id": 61120,
      "title": "Strange pattern on DAYS_INSTALMENT of installments_payments.csv and DAYS_BIRTH",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59391,
      "title": "Asking for clarification on the competition rule (use of open source)",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 60619,
      "title": "POS_CASH.csv",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60491,
      "title": "Any Success with Clustering?",
      "comment_count": 21,
      "views": 0,
      "votes": 8
    },
    {
      "id": 60802,
      "title": "Meaning of positive and negative values in Days Employed ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 60350,
      "title": "Have we just reached peak Kaggle ?",
      "comment_count": 34,
      "views": 0,
      "votes": 23
    },
    {
      "id": 60639,
      "title": "New Features",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 60886,
      "title": "Target Probabilities are valueless!! Only Rank matters",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 60877,
      "title": "How to make CV for my algorithm?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 60753,
      "title": "Negative DAYS_BIRTH",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 60652,
      "title": "Anyone using Keras",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 58326,
      "title": "Question on using bureau_balance dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 60600,
      "title": "Same code in different laptop, the auc score is not the same? WHY?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60657,
      "title": "GBM Hyperparameter Tuning",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60840,
      "title": "Applicant ID?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59398,
      "title": "Let's discuss: over-fitting in LB",
      "comment_count": 26,
      "views": 0,
      "votes": 17
    },
    {
      "id": 58174,
      "title": "Are data points separable?",
      "comment_count": 27,
      "views": 0,
      "votes": 52
    },
    {
      "id": 58243,
      "title": "Looking for a teammate",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 58923,
      "title": "AMT_CREDIT_SUM_DEBT",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60708,
      "title": "Split Between Public and Private LB?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60043,
      "title": "Could Kaggle teams please fix logs display in scripts ?",
      "comment_count": 19,
      "views": 0,
      "votes": 24
    },
    {
      "id": 60472,
      "title": "Flag Document , the villains? ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60445,
      "title": "Please can someone guide me on how to clean the test data...(from NaN values)",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60312,
      "title": "Forecasting Private LB",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 60497,
      "title": "How do I try 'goss' parameters in LightGBM",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60450,
      "title": "pandas 0.21 does not support pandas join by key",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 58940,
      "title": "HomeCredit_columns_description.csv",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 60401,
      "title": "Can any top players on LB share their local CV please? ",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57952,
      "title": "Very big OWN_CAR_AGE - ???",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59308,
      "title": "Et tu, KFold?",
      "comment_count": 24,
      "views": 0,
      "votes": 42
    },
    {
      "id": 60014,
      "title": "what about local CV 0.813 but  LB 0.772??????",
      "comment_count": 26,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60498,
      "title": "CV > LB! how this happend",
      "comment_count": 4,
      "views": 0,
      "votes": -4
    },
    {
      "id": 60391,
      "title": "GPU enabled scripts gives strange errors!!!",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 60434,
      "title": "Kernel Servers Down ? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 60255,
      "title": "What's a good training score for toppers in LB?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 60166,
      "title": "Visualize the distribution of \"AMT_INCOME_TOTAL\"",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 60314,
      "title": "papers/articles helpful to feature engineering",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 60061,
      "title": "Unable to read Column Description file",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 60210,
      "title": "Overfitting in LB makes stacking difficult?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 60237,
      "title": "Team",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59995,
      "title": "Noise ? Previous Application File: How can Amount Approved >Application Amount ? ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59948,
      "title": "Early stopping and overfitting",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 60062,
      "title": "Unexpected values under CNT_CHILDREN",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 60200,
      "title": "how to handle such huge dataset",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 59829,
      "title": "Robust CV",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58635,
      "title": "Bureau Data -Understanding ",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 60176,
      "title": "About using lgb.cv to tune parameters",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59931,
      "title": "Visualizing the distribution of data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 57562,
      "title": "data issue? previous_application is not containing all SK_ID_PREVs",
      "comment_count": 11,
      "views": 0,
      "votes": 17
    },
    {
      "id": 60071,
      "title": "How to make a script run?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 59879,
      "title": "How do others have 100-700 features? (Newbie)",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 59955,
      "title": "What does \"XNA\" mean?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 60021,
      "title": "What is difference in cash loan and revolving loan",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 59934,
      "title": "Effective features in K nearest neighbor inversely proportional to K, how? ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 59582,
      "title": "Efficient way to execute Bayesian Optimization",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 59774,
      "title": "Missing data fields",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 58091,
      "title": "How many features are you using? Any feature selection?",
      "comment_count": 22,
      "views": 0,
      "votes": 11
    },
    {
      "id": 59831,
      "title": "Replacing the Missing Values ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 59892,
      "title": "More decimal points?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59828,
      "title": "Use of External Data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59506,
      "title": "Adding new features that decrease local CV score means new features are not useful ?",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59782,
      "title": "DATA IS SO BIG ！！ the kernel boom! how i fix this",
      "comment_count": 13,
      "views": 0,
      "votes": -6
    },
    {
      "id": 59195,
      "title": "BayesianOptimization and xgb cv",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59822,
      "title": "Sign of overfitting?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59628,
      "title": "Overfitting CV (0.776 CV vs 0.769 LB) ",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59716,
      "title": "Hypothesis and hypothesis testing",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59755,
      "title": "Stratified vs non stratified CV",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59274,
      "title": "What is \"XNA\", \"XAP\" ?",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59119,
      "title": "A couple notes from a true novice",
      "comment_count": 15,
      "views": 0,
      "votes": 37
    },
    {
      "id": 59700,
      "title": "No imbalanced data handling so far",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59581,
      "title": "Removing 'harmful' features",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59617,
      "title": "A question on tuning hyper parameters",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59699,
      "title": "No time series?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59693,
      "title": "What are flag documents",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59323,
      "title": "Is this overfitting ? ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59315,
      "title": "Feature selection",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59198,
      "title": "What does 'Sold' mean in CREDIT ACTIVE of Bureau table?",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 59560,
      "title": "Running cell got failed",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59520,
      "title": "About 'SK_ID_CURR' and 'SK_ID_PREV' dropping or not ?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59444,
      "title": "Why LightGBM? ",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 59421,
      "title": "Family Status (civil marriage)",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59519,
      "title": "numeric coded categorical variables called \"targets\",why?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59260,
      "title": "reviewing installments",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59418,
      "title": "Converting a number with very large decimal digits to numeric",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 59114,
      "title": "Alternative LB",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 59278,
      "title": "AVG, MODE, MEDI features",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59491,
      "title": "Kudos to this being similar to a real world challenge",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59464,
      "title": "FLAG_WORK_PHONE vs FLAG_PHONE vs FLAG_EMP_PHONE",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58788,
      "title": "Teaming up with cheaters",
      "comment_count": 12,
      "views": 0,
      "votes": 24
    },
    {
      "id": 59253,
      "title": "How is this possible? (Full AUC less than all individual folds)",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59103,
      "title": "Henry G Appenzeller ",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 59263,
      "title": "An indication that top public kernels may over-fit the LB set",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59324,
      "title": "Paper from MBA",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58987,
      "title": "Pixie Cull",
      "comment_count": 14,
      "views": 0,
      "votes": 8
    },
    {
      "id": 59295,
      "title": "Model correlation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58804,
      "title": "Robust Notes",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 58933,
      "title": "Strange Pattern in Income",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59342,
      "title": "Variance in AUC between folds [duplicate]",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 58992,
      "title": "I am surprised that someone has too many phone numbers...",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 59005,
      "title": "LB Probing",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59270,
      "title": "Submission. Which probability values have I to put in TARGET column",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59259,
      "title": "YEARS_BEGINEXPLUATATION_MODE & YEARS_BUILD_MODE",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59033,
      "title": "Period of AMT_ANNUITY",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58615,
      "title": "To please NxGTR",
      "comment_count": 16,
      "views": 0,
      "votes": 14
    },
    {
      "id": 59233,
      "title": "Kernel kept dying at lgbm block",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59191,
      "title": "XGB auc returning allways 1",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 59135,
      "title": "intense competition",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59122,
      "title": "Computational requirement?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 58993,
      "title": "Increasing KFold Variance",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58495,
      "title": "Another look at data",
      "comment_count": 19,
      "views": 0,
      "votes": 49
    },
    {
      "id": 58582,
      "title": "Let's talk TARGET",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59026,
      "title": "Missing Value Imputation",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 58860,
      "title": "make improvement by imputing missing values",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 58873,
      "title": "4th decimal?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59031,
      "title": "Application_Train.Days_Employed",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57814,
      "title": "Feature importance",
      "comment_count": 20,
      "views": 0,
      "votes": 10
    },
    {
      "id": 58618,
      "title": "local cv 0.7932 std 0.0015  -> Lb 0.797 ?????",
      "comment_count": 19,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59002,
      "title": "What does kaggle use as cutoff to evaluate the predictions? Does it use 0.5?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 58409,
      "title": "Using GPU when running kernel in kaggle cloud",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 58811,
      "title": "training performs so much better than CV",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58699,
      "title": "How to organize a project?",
      "comment_count": 14,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58870,
      "title": "Where does this gap come from?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58959,
      "title": "boosting_type in LightGBM",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58889,
      "title": "I have confusion about feature engineering How much feature exactly helpful to do this analysis?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57675,
      "title": "Validation",
      "comment_count": 40,
      "views": 0,
      "votes": 26
    },
    {
      "id": 58831,
      "title": "Is there any differences between fit and train function?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 57760,
      "title": "How should I handle currency",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 57129,
      "title": "Help for Handling data from multiple CSVs like this",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58084,
      "title": "Optimized LightGBM parameters + ranting",
      "comment_count": 37,
      "views": 0,
      "votes": 29
    },
    {
      "id": 58659,
      "title": "Translating human error rate into AUC",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57239,
      "title": "why the variable DAYS_BIRTH is negative?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 58779,
      "title": "Target variable clarification",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 58114,
      "title": "Optimal Split for Categorical Features on LightGBM",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 58681,
      "title": "Shuffling the test set",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58593,
      "title": "Questions on labeling categorical features",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 58396,
      "title": "Put two useful features together but socre get worse",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58515,
      "title": "Support vector machine, does not stop ",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58141,
      "title": "Feature selection using importances fitted over noise",
      "comment_count": 8,
      "views": 0,
      "votes": 24
    },
    {
      "id": 58634,
      "title": "Feature v/s Parameter tuning",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58633,
      "title": "Training Time : CPU v/s GPU",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 58554,
      "title": "Currency Conversion Issue [Solution]",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58532,
      "title": "Leaderboard and training large model on Kaggle kernels",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 58540,
      "title": "LB score higher than CV Score",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 57870,
      "title": "Weight of Evidence Approach and logistic regression",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58438,
      "title": "CNT_PAYMENT variable explanation",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58330,
      "title": "Team",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58567,
      "title": "OBS & DEF SOCIAL_CIRCLE",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57247,
      "title": "Positive DAYS_EMPLOYED",
      "comment_count": 12,
      "views": 0,
      "votes": 18
    },
    {
      "id": 58178,
      "title": "Deal with over-fitting for LightGBM",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 58436,
      "title": "Bit confused as to role of other datasets",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57248,
      "title": "XNA and XAP meaning in data",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 58499,
      "title": "DAYS_BIRTH",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58386,
      "title": "Should we select model according to LB score?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58132,
      "title": "SImilar past competitions",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 58321,
      "title": "Distribution of model output",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58209,
      "title": "XNA, XAP, HC etc..",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 58162,
      "title": "Sampling Techniques",
      "comment_count": 13,
      "views": 0,
      "votes": 4
    },
    {
      "id": 58439,
      "title": "How are loans ordered?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57193,
      "title": "Risk as reported by EXT_SOURCE",
      "comment_count": 10,
      "views": 0,
      "votes": 17
    },
    {
      "id": 58200,
      "title": "What is \"How many observation of client's social surroundings with observable 30 DPD (days past due) default\"",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 58046,
      "title": "Best practice: categorical features",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58242,
      "title": "Why DAYS_EMPLOYED has both positive and negative values?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58085,
      "title": "Resolve overfiting score on LightGBM",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 58347,
      "title": "How does probability factor into the scoring algorithm?",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58061,
      "title": "Time Series Modeling ",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 57141,
      "title": "Efficient use of the 3 months",
      "comment_count": 19,
      "views": 0,
      "votes": 5
    },
    {
      "id": 57876,
      "title": "Dimensionality Reduction Ideas?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 58233,
      "title": "Can GBM handle non-monotonic predictions?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58169,
      "title": "NAME_CONTRACT_STATUS in POS_CASH_balance data",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 57653,
      "title": "Does watchlist in XGboost cause overfitting?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 57996,
      "title": "Validation score vs LB score",
      "comment_count": 16,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57192,
      "title": "Better AUC != Less Risk?",
      "comment_count": 22,
      "views": 0,
      "votes": 11
    },
    {
      "id": 57865,
      "title": "Customer segmentation",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 57748,
      "title": "Target variable",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57271,
      "title": "FLAG_{EMP|WORK|}_PHONE ?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 58120,
      "title": "What does \"demand\" mean in NAME_CONTRACT_STATUS for POS?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 57975,
      "title": "Inconsistent CREDIT_DAY_OVERDUE in bureau tbl??",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58148,
      "title": "bureau_balance table column meaning",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 58143,
      "title": "How to treat unknown status X in BUREAU_BALANCE table",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57995,
      "title": "Training AUC is like 15% higher than validation AUC. Problem?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57731,
      "title": "Leaderboard precision",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 57916,
      "title": "New U",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58027,
      "title": "Two CV is different: XGB and Sklearn",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 58024,
      "title": "Why is DAYS_BIRTH negative?",
      "comment_count": 2,
      "views": 0,
      "votes": -2
    },
    {
      "id": 57746,
      "title": "What does the bureau balance data mean?",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 57627,
      "title": "Kfold or StratifiedKFold?",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 57810,
      "title": "More explanation on the output ",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57693,
      "title": "Meaning of STATUS in bureau_balance.csv",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57859,
      "title": "Missing Target & Regression Algorithms",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57739,
      "title": "Featuring & labels in Raw Dataset ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 57576,
      "title": "Why does this competition pay more than Avito?",
      "comment_count": 16,
      "views": 0,
      "votes": null
    },
    {
      "id": 57641,
      "title": "Unbalanced Target ",
      "comment_count": 15,
      "views": 0,
      "votes": -2
    },
    {
      "id": 57767,
      "title": "How to understand \"unique for each application\" of SK_BUREAU_ID?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 57652,
      "title": "Is this data sufficiently anonymous?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 57508,
      "title": "Understanding features *_AVG, *_MEDI, *_MODE",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 57028,
      "title": "Discrimination in Lending",
      "comment_count": 6,
      "views": 0,
      "votes": 26
    },
    {
      "id": 57476,
      "title": "Path of virtue or pain: how to join the tables",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 57618,
      "title": "Understanding SK_ID_PREV?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 57444,
      "title": "Home Credit Business Questions",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 57538,
      "title": "Handling Large Datasets",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57463,
      "title": "FLAG_DOCUMENT_X discrepancies between train & test sets",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 57027,
      "title": "Price could be awarded to top 5/top 10 instead of top 3 only",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 57631,
      "title": "Description of columns",
      "comment_count": 2,
      "views": 0,
      "votes": -4
    },
    {
      "id": 57557,
      "title": "Curiosity about Implementation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57363,
      "title": "EXT_SOURCE",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57412,
      "title": "365243 Number of days means Not applicable???",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 57461,
      "title": "Flag Micro finance loan not in data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57408,
      "title": "Random Forest Benchmark",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57329,
      "title": "Data question: application vs. previous applications, external sources",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 57007,
      "title": "Columns name Description ?",
      "comment_count": 4,
      "views": 0,
      "votes": 21
    },
    {
      "id": 57151,
      "title": "What 'XNA' represents in the data ?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 57212,
      "title": "Implementation of Ridge regression",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 57289,
      "title": "can't download and submit by command",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57031,
      "title": "Test data without labels",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 57029,
      "title": "Is this one more xgboost stacking/assembling challenge?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 57113,
      "title": "Phone flag column descriptions",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}