Model map on Wisconsin Brest Cancer

Script mixwbcd.py builds a model map on 8 kinds of models. 4 are classic classification models:

• Naive Bayes
• k-Nearest Neighbour
• Support Vector Machine
• Classification Tree

where Classification Trees are taken from Random forest as proposed by Breinman. We also include 4 projections in 2-dimensional plane:

• Supervised PCA
• Radviz
• Polyviz
• Scatter plot

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.