https://github.com/abideen-olawuwo/financial-inclusion

A Bank account Prediction in Africa
https://github.com/abideen-olawuwo/financial-inclusion

matplotlib numpy pandas python seaborn sklearn xgboost-classifier

Last synced: 5 days ago
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A Bank account Prediction in Africa

• Host: GitHub
• URL: https://github.com/abideen-olawuwo/financial-inclusion
• Owner: abideen-olawuwo
• Created: 2023-05-27T18:46:46.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-21T23:19:09.000Z (about 1 year ago)
• Last Synced: 2023-10-22T00:23:05.660Z (about 1 year ago)
• Topics: matplotlib, numpy, pandas, python, seaborn, sklearn, xgboost-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 1.45 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
* Problem Definition

How well we can predict who in Africa is most likely to have a bank account?

* Data

The data was downloaded from zindi[https://zindi.africa/competitions/financial-inclusion-in-africa]

* Evaluation

The evaluation metric for this challenge is Mean Absolute error

* Features

The Dataset Features include; country, year, uniqueid, bank_account, location_type, cellphone_access, household_size, age_of_respondent

gender_of_respondent,	relationship_with_head,	marital_status,	education_level, and	job_type

* Modelling

The model used is XgboostClassifier