In komorowskilab/R.ROSETTA: R.ROSETTA: an interpretable machine learning framework

R.ROSETTA is an R package for constructing and analyzing rule-based classification models. R.ROSETTA is designed to support the overall data mining and knowledge discovery process. The presented tool is a more accessible and extended version of ROSETTA (Öhrn and Komorowski, 1997) system.

In addition to all the existing ROSETTA functionalities, we have added new functions such as:

• undersampling
• estimating rule p-value
• retrieving support sets from rules
• predicting unseen classes
• visualizing rule-based model (rule network, heatmap, boxplot)
• generating synthetic data

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An overwiev of the R.ROSETTA functions.

komorowskilab/R.ROSETTA documentation built on April 5, 2021, 9:41 a.m.