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Financial Inclusion by IndabaX Malawi

Helping Malawi
Knowledge
Challenge completed over 4 years ago
Prediction
34 joined
23 active
InfoDataLeaderboard
Starti
Jul 23, 21
Closei
Aug 15, 21
Reveali
Aug 15, 21
About

You are asked to predict the likelihood of the person having a bank account or not (Yes = 1, No = 0), for each unique id in the test dataset . You will train your model on 70% of the data and test your model on the final 30% of the data, across four East African countries - Kenya, Rwanda, Tanzania, and Uganda.

The main dataset contains demographic information and what financial services are used by approximately 33,600 individuals across East Africa. This data was extracted from various Finscope surveys ranging from 2016 to 2018, and more information about these surveys can be found here:

Files
Description
Files
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
This file describes the variables found in train and test.
Train contains the target. This is the dataset that you will use to train your model.

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