IEEE Internal Coding Competition

#competition #coding #Kaggle #engineering

• Objective: Predict whether a customer will continue with their bank account or close it (i.e., churn). For each id in the test set, you must predict the probability for the target variable Exited.
   
• Dataset: The dataset includes various features such as customer credit score, age, tenure, balance, number of products, and more. There is a train.csv file which should be used to train your model, and a test.csv file which should be used to test your model's performance.
   
• Dates: March 17, 2025 - March 31, 2025. All final submissions must be turned in before midnight on March 31.
   
• Submissions: Each participant can make up to 5 submissions per day. There is a submission format that must be followed (please see the sample_submission.csv file on the Kaggle site linked above). Submissions are evaluated on area under the ROC curve between the predicted probability and the observed target.
   
• Prizes: There will be Seton Hall University merchandise (mugs and pens) awarded as prizes to the top 3 scorers in the competition.

1. Click on the link listed above.
2. Click on the "Join Competition" button on the competition page.
3. Follow the instructions to accept the rules and join the competition.

1. Prepare your model and generate predictions based on the provided dataset. This should ultimately generate a CSV file formatted like the sample_submission.csv file on the Kaggle site.
2. Navigate to the Submissions tab on the competition page and click on "Submit Prediction".
3. Upload your submission file and click "Submit".