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Model map on Wisconsin Brest CancerΒΆ

Script 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 -n 500 .

This will create a model map in the current folder.