Binary Classification with a Bank Dataset
Overview
This Kaggle Playground competition challenges you to predict whether a bank client will subscribe to a term deposit. You'll use a synthetically generated dataset based on real-world bank data. It's a great opportunity to practice binary classification skills.
Requirements
Your task is to predict the probability of a client subscribing to a term deposit. Submissions should be in a CSV file with 'id' and 'y' columns, where 'y' is the predicted probability. You can use any machine learning techniques, but the data is tabular and the competition is beginner-friendly.
Prizes
The top three teams will receive Kaggle merchandise. Note that merchandise is awarded only once per person in this series, so previous winners will not receive prizes again.
0/1000
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