# Problem Statement

In today's highly competitive telecom industry, retaining users is of paramount importance. Subscriber attrition, whether to competitors or due to dissatisfaction, can greatly affect a company's performance and profitability. Your objective is to build a predictive model that, given the historical data of telecom customers, can identify new users who are at risk of attrition in the near future.

## Submission

Participants have to train their model on the training data (`train.csv`). The model has to be tested on the test data (`test.csv`). Finally, you have to make a submission file (refer to `sample_submission.csv` for the correct format) for the results predicted on the test data. Submit this file for evaluation on the platform.