Question

What is the difference betwenn svm and random forest?

Answer 1

For those problems, where SVM applies, it generally performs better than Random Forest. SVM gives you "support vectors", that is points in each class closest to the boundary between classes. They may be of interest by themselves for interpretation. SVM models perform better on sparse data than does trees in general.

Answer 2

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⎇ SVM gives you "support vectors", that is points in each class closest to the boundary between classes. They may be of interest by themselves for interpretation. SVM models perform better on sparse data than does trees in general.