SVM

What is it

meethod for supervised classification, regression or outlier detection

pros:

• effective in high dimensional space
• kernels can be specified for decision functions

cons:

• SVMs do not directly provice probability (maybe use Platt scaling for this?)

Scikit has overview of support vector machine functions:

http://scikit-learn.org/stable/modules/svm.html