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libsvm and liblinear are both software libraries that implement Support Vector Machines. What's the difference? And how do the differences make liblinear faster than libsvm?

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LIBSVM and LIBLINEAR are two popular open source machine learning libraries. 

  • LIBSVM implements the Sequential minimal optimization (SMO) algorithm, for kernelized support vector machines (SVMs), supporting classification and regression.

  • LIBLINEAR implements linear SVMs and logistic regression models

For a large dataset, use liblinear. Libsvm performs very slow at 10k samples.

Hope this answer helps.

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