This repository implements the metaclassification process as described in the Metaclassifier paper

The code itself requires no installation, you can run the code as-is.

The source code depends on these libraries:

• Numpy
• Pandas
• Scikit-learn, which you can install from here
• UnbalancedDataset which you can find on GitHub

You can find usage samples in the Metaclassifier_Test*.py files. The Metaclassifier_Class has been implemented to look like a SciKit classifier, therefore any function accepting a scikit classifier as an argument can accept the metaclassifier as well.

Scikit's pipelines don't support a dataset with changing cardinality, therefore to implement SMOTE we had to reimplement the cross-validation procedure. This function is defined in GeneralCrossValidation.py