SVM

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Carolin Hainke edited this page Feb 25, 2018 · 5 revisions

What is it

method for supervised classification, regression or outlier detection
devides the classes by a gab as wide as possible
linear and non-linear with kernel trick

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