{
  "id": 7694,
  "competitionName": "ada2017",
  "title": "Alkalmazott adatelemzés házifeladat",
  "briefDescription": "Practical analytical exercise for course of Applied data analytics",
  "dateEnabled": "2017-11-06T14:02:26.780Z",
  "deadline": "2018-01-31T23:59:00Z",
  "hasLeaderboard": true,
  "leaderboardPercentage": 30,
  "maxDailySubmissions": 10,
  "numScoredSubmissions": 1,
  "hasSolution": true,
  "forumId": 9639,
  "finalLeaderboardHasBeenVerified": true,
  "dateCreated": "2017-11-06T13:09:58.049321Z",
  "competitionHostSegmentId": 10,
  "maxTeamSize": 1,
  "totalSolutionRows": 23601,
  "showPrivateLeaderboard": true,
  "totalTeams": 9,
  "totalCompetitors": 9,
  "totalSubmissions": 155,
  "rulesRequired": true,
  "evaluationAlgorithm": {
    "id": 8,
    "name": "Root Mean Squared Logarithmic Error",
    "isPublic": true,
    "environmentRenderType": "ENVIRONMENT_RENDER_TYPE_JSON",
    "state": "LEGACY"
  },
  "categories": [
    {
      "name": "rmsle",
      "description": "Square root of the average of the squared natural logarithm (plus one) error. Useful when it's more important to accurately predict lower magnitude values rather than precisely predicting higher magnitude values.",
      "displayName": "Root Mean Squared Logarithmic Error"
    }
  ],
  "launched": true,
  "createdByUserId": 13493,
  "license": {
    "id": 42,
    "name": "Subject to Competition Rules",
    "agreementRequired": false
  },
  "hostName": "samirello",
  "scoreTruncationNumDecimals": 5,
  "locked": true,
  "totalJoinedUsers": 15,
  "submissionSizeLimitMb": 20480,
  "reward": {},
  "fileBasedSubmissions": true
}