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DSEA - Financial Inclusion in Africa by Data Science East Africa

Helping Kenya
Knowledge
Challenge completed almost 5 years ago
Prediction
43 joined
16 active
InfoDataLeaderboard
Starti
Dec 07, 20
Closei
Dec 18, 20
Reveali
Dec 18, 20
About

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

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