Timeline
Begin
2020/03/17
2020/03/17
Finish
2020/06/17
2020/06/17
Complete
2020/07/01
2020/07/01
Competition start: 2020/03/17 00:00:00
Competition closes on: 2020/06/17 00:00:00
Final Submission Limit: 2020/07/01 00:00:00
This competition has a total duration of 3 months, within which you will be able to make your submissions and obtain results automatically. Once the first part of the competition is over, you will have one week to choose your best model and submit it to be graded and considered for cash or points prizes.
This competition does not have a "Late Submission" option.
This competition does not have a "Late Submission" option.
Description
Financial inclusion remains one of the main obstacles to economic and human development in Latin America. For example, in Argentica, Chile, Colombia, and Mexico only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account.
Traditionally, access to bank accounts has been considered an indicator of financial inclusion. Despite the proliferation of mobile money in Latin America and the growth of innovative, state-of-the-art solutions, banks continue to play a key role in facilitating access to financial services.
Access to bank accounts allows households to save and facilitate payments, while helping businesses increase their credit capacity and improve their access to other financial services. Therefore, access to bank accounts is an essential contributor to long-term economic growth.
The goal of this competition is to create an automatic learning model to predict which people are most likely to have or use a bank account. The models and solutions developed can provide an indication of the state of financial inclusion in Argentica, Chile, Colombia, and Mexico, while providing an understanding of some of the key demographic factors that could drive people's financial outcomes.
Traditionally, access to bank accounts has been considered an indicator of financial inclusion. Despite the proliferation of mobile money in Latin America and the growth of innovative, state-of-the-art solutions, banks continue to play a key role in facilitating access to financial services.
Access to bank accounts allows households to save and facilitate payments, while helping businesses increase their credit capacity and improve their access to other financial services. Therefore, access to bank accounts is an essential contributor to long-term economic growth.
The goal of this competition is to create an automatic learning model to predict which people are most likely to have or use a bank account. The models and solutions developed can provide an indication of the state of financial inclusion in Argentica, Chile, Colombia, and Mexico, while providing an understanding of some of the key demographic factors that could drive people's financial outcomes.
Evaluation
The evaluation metric for this challenge will be the percentage of respondents for whom you predict the binary "bank account" classification incorrectly, i.e. the Accuracy of the model.
Your presentation file should look like this:
Your presentation file should look like this:
unique_id bank_account <string> <number> uniqueid_1 x Argentina 1 uniqueid_2 x Argentina 0 uniqueid_3 x Argentina 1
Rules
Competitors can register and submit solutions as individuals (not as teams, at least for now).
As this is a learning competition, apart from the rules of the DataSource.ai Terms of Use, no other particular rules apply.
Maximum 10 solutions submitted per day.
Please note that there is no division of the public/private ranking table for this challenge.
As this is a learning competition, apart from the rules of the DataSource.ai Terms of Use, no other particular rules apply.
Maximum 10 solutions submitted per day.
Please note that there is no division of the public/private ranking table for this challenge.
Note: We reserve the right to modify these rules at any time as needed.
