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Zindi Mentorship #1: Financial Inclusion in Africa by Zindi Mentorship Program

Helping Africa
Knowledge
Challenge completed ~5 years ago
Prediction
22 joined
17 active
Starti
Jun 19, 20
Closei
Aug 26, 20
Reveali
Aug 26, 20
About

Financial Inclusion Survey Data

The main dataset contains demographic information and what financial services are used by approximately 33,610 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:

The data have been split between training and test sets. The test set contains all information about each individual except for whether the respondent has a bank account or not.

Your goal is to accurately predict the likelihood that an individual has a bank account or not, i.e. Yes = 1, No = 0.

Files
Description
Files
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Train contains the target. This is the dataset that you will use to train your model.
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.
This file describes the variables found in train and test.