Predicting Loan Payback

Overview

This Kaggle competition challenges you to predict whether a borrower will pay back their loan. You'll work with a synthetically generated dataset and use your machine learning skills to build models. It's designed to be an approachable way to practice and sharpen your skills, especially if you're interested in tabular data.

Requirements

Participants need to build a machine learning model to predict the probability that a borrower will pay back their loan. You will submit a file with two columns: 'id' and 'loanpaidback', where 'loanpaidback' is your predicted probability. The competition is online and is open to participants from around the world. There are no specific team size requirements mentioned, but submissions are evaluated based on the ROC AUC score.

Prizes

This competition offers Kaggle swag as prizes, but it does not award points or medals. The main focus is on learning and practicing machine learning skills.