{
  "total": 39,
  "topics": [
    {
      "id": 4115,
      "title": "Test Set Released",
      "comment_count": 30,
      "views": 11877,
      "votes": 1
    },
    {
      "id": 3895,
      "title": "Revision 1 of Files Released - Download the Data Again",
      "comment_count": 4,
      "views": 3264,
      "votes": null
    },
    {
      "id": 555085,
      "title": "MSE below 0.10",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 475303,
      "title": "Finally cracked it! 11 years later 😅",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 191946,
      "title": "Would it be possible to enable late submission for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 71721,
      "title": "data download",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 44466,
      "title": "Valid and Test data with Normalized Salary",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 4055,
      "title": "Visualizing individual RandomForestRegressor trees?",
      "comment_count": 3,
      "views": 1929,
      "votes": null
    },
    {
      "id": 3883,
      "title": "Beating the benchmark (with a linear model)",
      "comment_count": 33,
      "views": 16450,
      "votes": 45
    },
    {
      "id": 29336,
      "title": "I am looking for predictor results from test datasets",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 4076,
      "title": "Large scale text mining in R",
      "comment_count": 20,
      "views": 30129,
      "votes": null
    },
    {
      "id": 4000,
      "title": "How to add crossvalidation to scikit RandomForestRegressor?",
      "comment_count": 6,
      "views": 11961,
      "votes": null
    },
    {
      "id": 3997,
      "title": "Looking for a local teammate in SiliconValley/SouthBay",
      "comment_count": 1,
      "views": 2303,
      "votes": 1
    },
    {
      "id": 4208,
      "title": "Congratulations to the preliminary winners!",
      "comment_count": 43,
      "views": 22788,
      "votes": -1
    },
    {
      "id": 4034,
      "title": "Using additional data sets for analysis",
      "comment_count": 13,
      "views": 7512,
      "votes": null
    },
    {
      "id": 4244,
      "title": "Advise required",
      "comment_count": 1,
      "views": 1837,
      "votes": null
    },
    {
      "id": 4155,
      "title": "what kind of data prep for vw?",
      "comment_count": 6,
      "views": 4228,
      "votes": null
    },
    {
      "id": 4176,
      "title": "score for this competition",
      "comment_count": 7,
      "views": 3946,
      "votes": 1
    },
    {
      "id": 4177,
      "title": "Problem with Benchmark Code",
      "comment_count": 0,
      "views": 1399,
      "votes": 0
    },
    {
      "id": 4085,
      "title": "How do I improve the benchmark score?",
      "comment_count": 3,
      "views": 3095,
      "votes": null
    },
    {
      "id": 4107,
      "title": "Beating the benchmark without FullDescription",
      "comment_count": 11,
      "views": 4924,
      "votes": 1
    },
    {
      "id": 4134,
      "title": "not able to submit a solution",
      "comment_count": 1,
      "views": 1661,
      "votes": null
    },
    {
      "id": 4096,
      "title": "Timeline Deadline Explanation",
      "comment_count": 4,
      "views": 2523,
      "votes": null
    },
    {
      "id": 4033,
      "title": "Loading the Data in R",
      "comment_count": 1,
      "views": 1690,
      "votes": null
    },
    {
      "id": 4028,
      "title": "Question on Evaluation ",
      "comment_count": 2,
      "views": 1307,
      "votes": null
    },
    {
      "id": 3981,
      "title": "Issue with python run",
      "comment_count": 2,
      "views": 2678,
      "votes": null
    },
    {
      "id": 4011,
      "title": "coding problem for LocationRaw data",
      "comment_count": 0,
      "views": 897,
      "votes": 0
    },
    {
      "id": 4010,
      "title": "coding problem for LocationRaw data",
      "comment_count": 0,
      "views": 786,
      "votes": 0
    },
    {
      "id": 3943,
      "title": "LocationNormalized and the Location Tree",
      "comment_count": 9,
      "views": 4069,
      "votes": null
    },
    {
      "id": 3846,
      "title": "Benchmark extension",
      "comment_count": 2,
      "views": 2226,
      "votes": null
    },
    {
      "id": 3954,
      "title": "Error in benchmark code",
      "comment_count": 1,
      "views": 1199,
      "votes": null
    },
    {
      "id": 3827,
      "title": "Welcome",
      "comment_count": 7,
      "views": 3420,
      "votes": 1
    },
    {
      "id": 3901,
      "title": "Submissions Pending",
      "comment_count": 3,
      "views": 1775,
      "votes": null
    },
    {
      "id": 3893,
      "title": "Final Evaluation Set question",
      "comment_count": 1,
      "views": 1302,
      "votes": null
    },
    {
      "id": 3852,
      "title": "SalaryNormalized accuracy/rule?",
      "comment_count": 13,
      "views": 4643,
      "votes": 1
    },
    {
      "id": 3879,
      "title": "Convenience request - encoding ",
      "comment_count": 1,
      "views": 1373,
      "votes": null
    },
    {
      "id": 3855,
      "title": "LocationNormalized data issue (small)",
      "comment_count": 0,
      "views": 1003,
      "votes": 0
    },
    {
      "id": 3831,
      "title": "What is the benchmark code given for ? Please explain ",
      "comment_count": 6,
      "views": 3345,
      "votes": null
    },
    {
      "id": 3830,
      "title": "Hi from the Adzuna team",
      "comment_count": 0,
      "views": 1442,
      "votes": 0
    }
  ],
  "errors": []
}