{
  "id": 48044,
  "competitionName": "fa-ii-2023-i-flujos-de-modelos-tradicionales",
  "title": "FA II 2023-I: flujos de modelos tradicionales",
  "briefDescription": "Taller de FAII, modelos tradicionales de clasificación para detectar clientes buenos y malos en el sector crediticio",
  "dateEnabled": "2023-02-22T23:02:51.630Z",
  "deadline": "2023-04-09T23:59:00Z",
  "hasLeaderboard": true,
  "leaderboardPercentage": 50,
  "maxDailySubmissions": 20,
  "numScoredSubmissions": 3,
  "hasSolution": true,
  "numPrizes": 1,
  "forumId": 2954140,
  "dateCreated": "2023-02-19T13:23:17.047822Z",
  "competitionHostSegmentId": 10,
  "maxTeamSize": 2,
  "totalSolutionRows": 12417,
  "showPrivateLeaderboard": true,
  "hasScripts": true,
  "totalTeams": 10,
  "totalCompetitors": 17,
  "totalSubmissions": 425,
  "rulesRequired": true,
  "privateLeaderboardReleaseDate": "2023-04-14T00:00:00Z",
  "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": 3221965,
  "license": {
    "id": 42,
    "name": "Subject to Competition Rules",
    "agreementRequired": false
  },
  "hostName": "Daniel Osorio",
  "scoreTruncationNumDecimals": 5,
  "locked": true,
  "totalJoinedUsers": 23,
  "submissionSizeLimitMb": 20480,
  "reward": {},
  "fileBasedSubmissions": true
}