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  "fetched_at": "2026-10-19T13:25:23Z",
  "source_url": "https://www.kaggle.com/competitions/credit-card-fraud-prediction/data",
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    {
      "name": "data-description",
      "content": "In this competition you are predicting the probability that an online transaction is fraudulent, as denoted by the binary target `isFraud`.\n\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format",
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      "content": "This competition is the final problem statement of Recognizance'24, the ML event of Prastuti, the Electrical Dept. fest of IIT BHU.\n\nIt is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.\n\nFormulate an ML model to detect fraudulent credit card transactions",
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      "name": "Evaluation",
      "content": "Submissions are evaluated on [area under the ROC curve](http://en.wikipedia.org/wiki/Receiver_operating_characteristic) between the predicted probability and the observed target.\n\n\n## Submission File\nFor each `id` in the test set, you must predict a probability for the `isFraud` variable. The file should contain a header and have the following format:\n\n    id,IsFraud\n    150001,0.9\n    150002,0.0\n    150006,0.5\n    etc.",
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    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!\n - Happy Learning ! ",
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      "name": "abstract",
      "content": "    ",
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    {
      "name": "Prizes  ",
      "content": "**1st Prize** : 7500 INR\n**2nd Prize** : 5000 INR\n**3rd Prize** : 2500 INR \n\nAll participants needs to submit the following files to be eligible for the prize - \n\n1. Altair's Rapidminer Session *.rmp file \n2. Dataset used \n3. Analytics PPT \n4. Video or certificate (recording of the complete general process (2 to 4 min ) , post in Youtube and share link - or - submit any Rapidminer course Certificate) \n\nParticipants can download and learn RapidMiner software from - \n- [https://web.altair.com/ai-studio-learning-hub](https://web.altair.com/ai-studio-learning-hub)\n- [https://academy.rapidminer.com](https://academy.rapidminer.com)\n\n**Where to submit ?** \nZip the contents > Rename it as \"IITBhu_your name.zip\" and upload to below link \n\n[Submit Here](https://ftin.india.altair.com/filedrop/~36P6uH) \n\nIn the message body > Mention your name > Email ID and mobile no \n\nWinners will be decided on the basis of their - \n1. Submission on Altair's Rapidminer Studio\n2. Kaggle Leaderboard",
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