{
  "id": 80934,
  "competitionName": "bio-signal-challenge-binary-prediction-of-smoker",
  "title": "Bio-Signal Challenge: Binary Prediction of Smoker",
  "briefDescription": "Participants will develop machine learning models to predict smoker status based on a dataset of physiological bio-signals.",
  "dateEnabled": "2024-09-23T12:39:09.140Z",
  "deadline": "2024-11-20T13:14:22Z",
  "hasLeaderboard": true,
  "leaderboardPercentage": 30,
  "maxDailySubmissions": 5,
  "numScoredSubmissions": 2,
  "numPrizes": 1,
  "forumId": 5276592,
  "dateCreated": "2024-06-01T15:44:23.532997400Z",
  "competitionHostSegmentId": 10,
  "maxTeamSize": 3,
  "hasCoverImageUrl": true,
  "showPrivateLeaderboard": true,
  "hasScripts": true,
  "rulesRequired": true,
  "privateLeaderboardReleaseDate": "2024-11-27T06:30:00Z",
  "clonedFromCompetitionId": 60891,
  "evaluationAlgorithm": {
    "id": 474,
    "name": "Accuracy Score",
    "isMax": true,
    "isPublic": true,
    "environmentRenderType": "ENVIRONMENT_RENDER_TYPE_JSON",
    "kernelId": 39243584,
    "latestCompetitionMetricVersionId": 17210,
    "state": "AVAILABLE"
  },
  "categories": [
    {
      "id": 11111,
      "name": "health",
      "fullPath": "subject > health and fitness > health",
      "description": "Consider the health tag your data science gym. Get in there and work out those data science muscles on health analytics. Analyze heart disease until you sweat. Then recover with with a nice candy production dataset.",
      "datasetCount": 24086,
      "competitionCount": 603,
      "scriptCount": 8807,
      "slug": "health",
      "displayName": "Health"
    },
    {
      "id": 13102,
      "name": "beginner",
      "fullPath": "audience > beginner",
      "description": "New to data science? Explore tips, tricks, and beginner friendly work from other Kagglers.",
      "datasetCount": 12069,
      "competitionCount": 15138,
      "scriptCount": 46449,
      "slug": "beginner",
      "displayName": "Beginner"
    },
    {
      "id": 14101,
      "name": "tabular",
      "fullPath": "data type > tabular",
      "datasetCount": 19588,
      "competitionCount": 15967,
      "scriptCount": 8420,
      "slug": "tabular-data",
      "displayName": "Tabular"
    },
    {
      "id": 14201,
      "name": "binary classification",
      "fullPath": "task > binary-classification",
      "datasetCount": 2221,
      "competitionCount": 11871,
      "scriptCount": 8474,
      "slug": "binary-classification",
      "displayName": "Binary Classification"
    },
    {
      "name": "accuracy score",
      "description": "Accuracy classification score. See https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html",
      "displayName": "Accuracy Score"
    }
  ],
  "launched": true,
  "createdByUserId": 16492501,
  "license": {
    "id": 13,
    "name": "Attribution 4.0 International (CC BY 4.0)",
    "url": "https://creativecommons.org/licenses/by/4.0/",
    "agreementRequired": false
  },
  "hostName": "sinha_gla",
  "scoreTruncationNumDecimals": 5,
  "locked": true,
  "totalJoinedUsers": 196,
  "submissionSizeLimitMb": 20480,
  "reward": {},
  "fileBasedSubmissions": true
}