Script mixwbcd.py builds a model map on 8 kinds of models. 4 are classic classification models:
where Classification Trees are taken from Random forest as proposed by Breinman. We also include 4 projections in 2-dimensional plane:
Projections are wrapped into k-NN classifiers that predict on projected points. The reason behind is that good projections are those that separate points well (Leban et al. 2005 and 2006).
Run the scripy with:
python mixwbcd.py -n 500 .
This will create a model map in the current folder.