{
  "id": 132004,
  "competitionName": "amit-ramadan-ai-challenge-1",
  "title": "AMIT Ramadan AI Challenge #1: Churn Prediction",
  "briefDescription": "Build a robust ML model to predict customer churn probability using real-world data and professional validation strategies.",
  "dateEnabled": "2026-02-25T23:04:29.777Z",
  "deadline": "2026-03-04T22:00:00Z",
  "hasLeaderboard": true,
  "leaderboardPercentage": 60,
  "maxDailySubmissions": 5,
  "numScoredSubmissions": 2,
  "hasSolution": true,
  "numPrizes": 1,
  "forumId": 10283815,
  "dateCreated": "2026-02-25T20:32:24.113933600Z",
  "competitionHostSegmentId": 10,
  "maxTeamSize": 1,
  "totalSolutionRows": 100,
  "hasCoverImageUrl": true,
  "showPrivateLeaderboard": true,
  "hasScripts": true,
  "totalTeams": 1,
  "totalCompetitors": 1,
  "totalSubmissions": 1,
  "rulesRequired": true,
  "privateLeaderboardReleaseDate": "2026-03-05T22:00:00Z",
  "rowIdColumnName": "row_id",
  "evaluationAlgorithm": {
    "id": 499,
    "name": "Roc Auc Score",
    "isMax": true,
    "isPublic": true,
    "environmentRenderType": "ENVIRONMENT_RENDER_TYPE_JSON",
    "kernelId": 39244492,
    "latestCompetitionMetricVersionId": 9197,
    "state": "AVAILABLE"
  },
  "categories": [
    {
      "name": "roc auc score",
      "description": "Compute Area Under the Receiver Operating Characteristic Curve (ROC AUC)     from prediction scores. See https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html",
      "displayName": "Roc Auc Score"
    }
  ],
  "launched": true,
  "createdByUserId": 26097785,
  "enableUserEmailShare": true,
  "license": {
    "id": 31,
    "name": "MIT",
    "url": "https://www.mit.edu/~amini/LICENSE.md",
    "agreementRequired": false
  },
  "hostName": "AMIT LEARNING",
  "scoreTruncationNumDecimals": 4,
  "locked": true,
  "totalJoinedUsers": 59,
  "submissionSizeLimitMb": 20480,
  "reward": {},
  "fileBasedSubmissions": true
}