{
  "total": 25,
  "topics": [
    {
      "id": 548977,
      "title": "Competition Winners",
      "comment_count": 15,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 555236,
      "title": "1st Place Solution - Single LGBM model",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 548459,
      "title": "Will this competition shakeup?",
      "comment_count": 14,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 549152,
      "title": "5th solution more data+FE+ensemble",
      "comment_count": 5,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 548898,
      "title": "can winner publish code ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 548934,
      "title": "Any inputs on how the smartwatch features like hr, steps, carbs etc improve the prediction results?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 548818,
      "title": "Did anyone just take the route of dropping columns",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 548442,
      "title": "Imputation Using KNN",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 546282,
      "title": "CV - LB Thread",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 548471,
      "title": "There are systematic errors, so ensemble accordingly",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 547551,
      "title": "How should the input be preprocessed?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 546758,
      "title": "Nan values in insulin, carbs, steps",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 546651,
      "title": "XGBoost training time too long",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 545721,
      "title": "whats the max pb score you can get?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 542441,
      "title": "Simple Baseline - Blood Glucose at -0:00",
      "comment_count": 4,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 541500,
      "title": "Attention:We can get more data.",
      "comment_count": 5,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 542646,
      "title": "Competition Deadline?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 542764,
      "title": "Blood Glucose Prediction using AutoGluon",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 542603,
      "title": "publicly available continuous glucose monitoring (CGM) data",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 542309,
      "title": "Time column in train and test interpretation",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 542076,
      "title": "Private Leaderboard - how does it work for this competition?",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 537631,
      "title": "Types of insulin",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 538333,
      "title": "Paper sharing",
      "comment_count": 1,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 536074,
      "title": "Is it a time series or regression problem?",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 536550,
      "title": "Understanding the CV-LB Gap: Is it Data Size or Overfitting?",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    }
  ],
  "errors": []
}