{
  "id": 21434,
  "competitionName": "curso-r-introduo-ao-machine-learning-com-r",
  "title": "Curso-R - Introdução ao Machine Learning com R",
  "briefDescription": "Competição para a entrega final do curso de introdução ao machine learning com R.",
  "dateEnabled": "2020-06-20T00:46:43.990Z",
  "deadline": "2020-08-16T23:59:00Z",
  "hasLeaderboard": true,
  "leaderboardPercentage": 50,
  "maxDailySubmissions": 5,
  "numScoredSubmissions": 5,
  "hasSolution": true,
  "numPrizes": 1,
  "forumId": 742381,
  "finalLeaderboardHasBeenVerified": true,
  "dateCreated": "2020-06-19T22:22:59.041322100Z",
  "competitionHostSegmentId": 10,
  "maxTeamSize": 20,
  "totalSolutionRows": 16281,
  "showPrivateLeaderboard": true,
  "hasScripts": true,
  "totalTeams": 14,
  "totalCompetitors": 14,
  "totalSubmissions": 91,
  "rulesRequired": true,
  "evaluationAlgorithm": {
    "id": 5,
    "name": "Area Under Receiver Operating Characteristic Curve",
    "isMax": true,
    "isPublic": true,
    "environmentRenderType": "ENVIRONMENT_RENDER_TYPE_JSON",
    "state": "LEGACY"
  },
  "categories": [
    {
      "name": "auc",
      "description": "Measures discrimination. Calculates how well an algorithm separates true positives from false positives. Overall good metric for classification problems. Has range [0.5, 1.0]",
      "displayName": "Area Under Receiver Operating Characteristic Curve"
    }
  ],
  "launched": true,
  "createdByUserId": 124271,
  "license": {
    "id": 42,
    "name": "Subject to Competition Rules",
    "agreementRequired": false
  },
  "hostName": "Athos Damiani",
  "scoreTruncationNumDecimals": 5,
  "locked": true,
  "totalJoinedUsers": 25,
  "submissionSizeLimitMb": 20480,
  "reward": {},
  "fileBasedSubmissions": true
}