{
  "total": 75,
  "topics": [
    {
      "id": 6962,
      "title": "Important: New Data & Leakage",
      "comment_count": 54,
      "views": 20250,
      "votes": 15
    },
    {
      "id": 7398,
      "title": "Congratulation ",
      "comment_count": 73,
      "views": 41331,
      "votes": 7
    },
    {
      "id": 6892,
      "title": "Looking for a beginner team",
      "comment_count": 19,
      "views": 4616,
      "votes": null
    },
    {
      "id": 7134,
      "title": "Dimension Reduction",
      "comment_count": 2,
      "views": 1058,
      "votes": 1
    },
    {
      "id": 7104,
      "title": "An appeal to the sponsor",
      "comment_count": 6,
      "views": 2194,
      "votes": 4
    },
    {
      "id": 17564,
      "title": "Disclose Anomologyics of Dataset",
      "comment_count": 2,
      "views": 758,
      "votes": 4
    },
    {
      "id": 6982,
      "title": "Beating the Benchmark",
      "comment_count": 42,
      "views": 18668,
      "votes": 60
    },
    {
      "id": 7346,
      "title": "Columns that can be removed",
      "comment_count": 4,
      "views": 2147,
      "votes": 8
    },
    {
      "id": 7115,
      "title": "Golden Features",
      "comment_count": 88,
      "views": 37228,
      "votes": 46
    },
    {
      "id": 6862,
      "title": "Data",
      "comment_count": 59,
      "views": 20196,
      "votes": 2
    },
    {
      "id": 7367,
      "title": "Help in computing F1 score in matlab",
      "comment_count": 1,
      "views": 2520,
      "votes": null
    },
    {
      "id": 12311,
      "title": "how to think",
      "comment_count": 0,
      "views": 2430,
      "votes": 0
    },
    {
      "id": 9525,
      "title": "unable to rbind",
      "comment_count": 0,
      "views": 1110,
      "votes": 0
    },
    {
      "id": 7490,
      "title": "Will you give results the results of test data?",
      "comment_count": 1,
      "views": 1950,
      "votes": 1
    },
    {
      "id": 6994,
      "title": "Memory problems, scikit-learn",
      "comment_count": 11,
      "views": 7769,
      "votes": 1
    },
    {
      "id": 7403,
      "title": "Feature Selection",
      "comment_count": 5,
      "views": 5665,
      "votes": 2
    },
    {
      "id": 7389,
      "title": "Can someone share their CV F1-Score ?",
      "comment_count": 7,
      "views": 2463,
      "votes": 2
    },
    {
      "id": 7396,
      "title": "Regression Approaches",
      "comment_count": 9,
      "views": 3670,
      "votes": 1
    },
    {
      "id": 7359,
      "title": "When this is over...",
      "comment_count": 32,
      "views": 8901,
      "votes": 0
    },
    {
      "id": 7399,
      "title": "Oh well.",
      "comment_count": 2,
      "views": 1750,
      "votes": null
    },
    {
      "id": 7387,
      "title": "Big Leaderboard shakeup",
      "comment_count": 9,
      "views": 3120,
      "votes": null
    },
    {
      "id": 7388,
      "title": "Normalizing MAEs for comparison ",
      "comment_count": 2,
      "views": 1640,
      "votes": null
    },
    {
      "id": 7308,
      "title": "Share (nonleaderboard) MAEs ?  ",
      "comment_count": 18,
      "views": 5509,
      "votes": null
    },
    {
      "id": 7345,
      "title": "Could the sponsors provide a debriefing?",
      "comment_count": 7,
      "views": 1557,
      "votes": null
    },
    {
      "id": 7340,
      "title": "Normalizing data ",
      "comment_count": 5,
      "views": 1973,
      "votes": null
    },
    {
      "id": 7321,
      "title": "Something Strange in the Loss data",
      "comment_count": 3,
      "views": 1297,
      "votes": null
    },
    {
      "id": 7315,
      "title": "Extreme large value (and variance) features",
      "comment_count": 2,
      "views": 1090,
      "votes": null
    },
    {
      "id": 7310,
      "title": "Suggestions on creating submission file in R?",
      "comment_count": 3,
      "views": 1049,
      "votes": null
    },
    {
      "id": 7306,
      "title": "Score on the leaderboard",
      "comment_count": 1,
      "views": 857,
      "votes": null
    },
    {
      "id": 7188,
      "title": "how to ensemble your models?",
      "comment_count": 24,
      "views": 8329,
      "votes": null
    },
    {
      "id": 7229,
      "title": "Question of a Masters Student who is doing this as final thesis....",
      "comment_count": 20,
      "views": 4378,
      "votes": 0
    },
    {
      "id": 7176,
      "title": "Reducing MAE on test set",
      "comment_count": 65,
      "views": 13835,
      "votes": 1
    },
    {
      "id": 7262,
      "title": "What kind of CV are you using to combat overfitting?",
      "comment_count": 15,
      "views": 3016,
      "votes": 3
    },
    {
      "id": 7228,
      "title": "The faster I run, the further behind I get !!",
      "comment_count": 15,
      "views": 3060,
      "votes": null
    },
    {
      "id": 7056,
      "title": "Approach and Intuition",
      "comment_count": 33,
      "views": 12349,
      "votes": null
    },
    {
      "id": 7249,
      "title": "Wiki?",
      "comment_count": 2,
      "views": 874,
      "votes": null
    },
    {
      "id": 7200,
      "title": "GBM vs. GLM AUC",
      "comment_count": 9,
      "views": 4799,
      "votes": 1
    },
    {
      "id": 7235,
      "title": "Error on uploading the submission",
      "comment_count": 2,
      "views": 761,
      "votes": null
    },
    {
      "id": 7241,
      "title": "Need advice to use R for loan Prediction ",
      "comment_count": 1,
      "views": 1366,
      "votes": null
    },
    {
      "id": 7230,
      "title": "Would I use Octave or Matlab to join the competItion?",
      "comment_count": 1,
      "views": 744,
      "votes": null
    },
    {
      "id": 7223,
      "title": "The method to predict long-tail samples",
      "comment_count": 0,
      "views": 766,
      "votes": 0
    },
    {
      "id": 6930,
      "title": "Correlation between features",
      "comment_count": 51,
      "views": 15933,
      "votes": 12
    },
    {
      "id": 7185,
      "title": "Aliases",
      "comment_count": 2,
      "views": 1024,
      "votes": null
    },
    {
      "id": 7184,
      "title": "Benchmarking the Regression Model",
      "comment_count": 5,
      "views": 1762,
      "votes": null
    },
    {
      "id": 7093,
      "title": "fun patterns in the data (graphics)",
      "comment_count": 27,
      "views": 6799,
      "votes": 19
    },
    {
      "id": 7157,
      "title": "I want explanation about my last model : William",
      "comment_count": 9,
      "views": 2720,
      "votes": 3
    },
    {
      "id": 6922,
      "title": "Looking for teammate(s)",
      "comment_count": 5,
      "views": 1997,
      "votes": null
    },
    {
      "id": 7129,
      "title": "Data sorting by f275 and f521 in R / integer64 issue",
      "comment_count": 3,
      "views": 1298,
      "votes": 1
    },
    {
      "id": 7145,
      "title": "AUC Too High ?!?",
      "comment_count": 4,
      "views": 2074,
      "votes": null
    },
    {
      "id": 7123,
      "title": "Any clue how to pridict LOSS which is in percentage?",
      "comment_count": 3,
      "views": 1607,
      "votes": 1
    },
    {
      "id": 7112,
      "title": "Test data observation",
      "comment_count": 14,
      "views": 2907,
      "votes": 1
    },
    {
      "id": 7102,
      "title": "Meaning of NA",
      "comment_count": 1,
      "views": 940,
      "votes": 1
    },
    {
      "id": 6973,
      "title": "A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license?",
      "comment_count": 9,
      "views": 3312,
      "votes": 1
    },
    {
      "id": 6920,
      "title": "Loading/Importing data in matlab",
      "comment_count": 7,
      "views": 2671,
      "votes": 2
    },
    {
      "id": 7048,
      "title": "Question on evaluation method",
      "comment_count": 2,
      "views": 1090,
      "votes": null
    },
    {
      "id": 6877,
      "title": "Faster way to clean data with R",
      "comment_count": 5,
      "views": 5280,
      "votes": 2
    },
    {
      "id": 6956,
      "title": "Binary classification vs. regression",
      "comment_count": 30,
      "views": 12945,
      "votes": 1
    },
    {
      "id": 6913,
      "title": "First Timer / Pre first-submission observation / question",
      "comment_count": 8,
      "views": 2693,
      "votes": null
    },
    {
      "id": 6978,
      "title": "Loan Default Prediction Wiki",
      "comment_count": 1,
      "views": 4960,
      "votes": 33
    },
    {
      "id": 7004,
      "title": "\"f6: person instructing loan has a historical relationship\"",
      "comment_count": 0,
      "views": 882,
      "votes": 0
    },
    {
      "id": 6954,
      "title": "Does cross validation work?",
      "comment_count": 6,
      "views": 2593,
      "votes": 1
    },
    {
      "id": 6995,
      "title": "(iPython/SKlearn) Data Cleaning Question with Decision Tree Classifier",
      "comment_count": 11,
      "views": 4933,
      "votes": null
    },
    {
      "id": 6864,
      "title": "Which variables categorical?",
      "comment_count": 16,
      "views": 5134,
      "votes": null
    },
    {
      "id": 6921,
      "title": "Discrepancy in preparation of train vs test?",
      "comment_count": 12,
      "views": 3206,
      "votes": 10
    },
    {
      "id": 6899,
      "title": "1st Time Competitor Questions",
      "comment_count": 8,
      "views": 3072,
      "votes": null
    },
    {
      "id": 6919,
      "title": "Format of the submission file?",
      "comment_count": 3,
      "views": 1223,
      "votes": null
    },
    {
      "id": 6937,
      "title": "how does one predict percentages?",
      "comment_count": 1,
      "views": 1233,
      "votes": 1
    },
    {
      "id": 6915,
      "title": "Meaning for the features?",
      "comment_count": 4,
      "views": 2325,
      "votes": 0
    },
    {
      "id": 6895,
      "title": "newbie to kaggle",
      "comment_count": 5,
      "views": 2036,
      "votes": 1
    },
    {
      "id": 6907,
      "title": "Benchmark Value",
      "comment_count": 3,
      "views": 1762,
      "votes": null
    },
    {
      "id": 6906,
      "title": "Open Source Licenses Rule",
      "comment_count": 0,
      "views": 800,
      "votes": 0
    },
    {
      "id": 6904,
      "title": "Reading Data",
      "comment_count": 2,
      "views": 1513,
      "votes": null
    },
    {
      "id": 6871,
      "title": "train/test split",
      "comment_count": 5,
      "views": 2782,
      "votes": null
    },
    {
      "id": 6867,
      "title": "Beating benchmark impossible?",
      "comment_count": 8,
      "views": 4002,
      "votes": null
    },
    {
      "id": 6868,
      "title": "Judging Criteria ",
      "comment_count": 2,
      "views": 1720,
      "votes": null
    }
  ],
  "errors": []
}