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Payment Predictor Utility 3.0

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An all in one solution for employing XGboost machine learning to predict customer's probability of payment.

VERSION INFO

  1. Python=3.10
  2. colorama=0.4.6
  3. pandas=1.5.2
  4. scikit-learn=1.1.3
  5. numpy=1.23.4
  6. seaborn=0.12.1
  7. xgboost=1.7.2
  8. ipython=8.6.0
  9. tabulate=0.8.10
  10. pyodbc=4.0.35

Note: Use latest viable requirements for versions above

File Requirements

A proprietary file called tblXmain_transactions.csv is needed to run the program.

The setup will guide you through file placement.

ScreenShots

Main Screen

mainscreen

Individual Prediction

individual prediction

Model Training

training mode

Full Set Prediction

Debug Mode

debug mode

File Selector

Retrieve Table from Sql

Exit Option

exit

License

Copyright (C) Willem van der Schans - All Rights Reserved.

THE CONTENTS OF THIS PROJECT ARE PROPRIETARY AND CONFIDENTIAL. UNAUTHORIZED COPYING, TRANSFERRING OR REPRODUCTION OF THE CONTENTS OF THIS PROJECT, VIA ANY MEDIUM IS STRICTLY PROHIBITED.

The receipt or possession of the source code and/or any parts thereof does not convey or imply any right to use them for any purpose other than the purpose for which they were provided to you.

The software is provided "AS IS", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and non infringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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