Random Forest Test Selection
Functionality for data-driven test selection has been added to the toolbox. the implemented method is described in detail in the publication “Residual Selection for Consistency Based Diagnosis Using Machine Learning Models” published at IFAC Safeprocess 2018 in Warszaw, Poland. Find the full paper at https://doi.org/10.1016/j.ifacol.2018.09.547.
See the tutorial for an introduction to the functionality.