This project constructs an ensemble model of bidimensional monotonic classifiers [1](https://link.springer.com/article/10.1007/s00453-012-9628-4). In addition to reimplementing an established approach [2](https://academic.oup.com/jid/article/217/11/1690/4911472?login=true) in Python, it integrates a preselection of the pairs of features, reducing drastically the running time of the approach.
This project constructs an ensemble model of bidimensional monotonic classifiers \[[1](https://link.springer.com/article/10.1007/s00453-012-9628-4)\]. In addition to reimplementing an established approach \[[2](https://academic.oup.com/jid/article/217/11/1690/4911472?login=true)\] in Python, it integrates a preselection of the pairs of features, reducing drastically the running time of the approach.
