This framework combines three main components: error detection, error correction, and error explanation.
It detects and corrects data errors, and explains why the model flagged a value as incorrect, including which features contributed to that decision.

The framework uses datasets from the PMLB repository:
https://github.com/EpistasisLab/pmlb

CDC: https://github.com/calgo-lab/conformal-data-cleaning

Error-Injection: https://github.com/calgo-lab/tab_err/tree/main

Explain-Errors: https://auto.gluon.ai/dev/tutorials/eda/components/autogluon.eda.explain.html

There are two ways to run the framework:

• This notebook contains the full implementation.
• Scroll down to the user input interface section.
• Modify the parameters and run the project.
• Use this option if you want to see or edit the full code.

• This notebook calls CDC.ipynb and runs it automatically.
• It shows only the user interface, which makes it easier to use.
• If you want to call the code externally using this method, comment out the user interface section inside CDC.ipynb.