Fuzzworth/zinidi_hackathon

Financial inclusion remains one of the main obstacles to economic and human development in Africa. For example, across Kenya, Rwanda, Tanzania, and Uganda only 9.1 million adults (or 14% of adults) have access to or use a commercial bank account. # Financial Inclusion in Africa for Botswana ## Can you predict who in Africa is most likely to have a bank account? Financial inclusion remains one of the main obstacles to economic and human development in Africa. For example, across Kenya, Rwanda, Tanzania, and Uganda only 9.1 million adults (or 14% of adults) have access to or use a commercial bank account. Traditionally, access to bank accounts has been regarded as an indicator of financial inclusion. Despite the proliferation of mobile money in Africa, and the growth of innovative fintech solutions, banks still play a pivotal role in facilitating access to financial services. Access to bank accounts enable households to save and make payments while also helping businesses build up their credit-worthiness and improve their access to loans, insurance, and related services. Therefore, access to bank accounts is an essential contributor to long-term economic growth. The objective of this competition is to create a machine learning model to predict which individuals 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 Kenya, Rwanda, Tanzania and Uganda, while providing insights into some of the key factors driving individuals’ financial security. ## Evaluation The evaluation metric for this challenge is Mean Absolute error, where 1 indicates that the individual does have a bank account and 0 indicates that they do not. ### Your submission file should look like: ``` unique_id bank_account uniqueid_1 x Kenya 1 uniqueid_2 x Kenya 0 uniqueid_3 x Kenya 1 ``` ## Rules ### This challenge is open to Botswana users. #### Teams and collaboration You may participate in competitions as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the for …