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An implementation of support vector machine (SVM) for the problem of pattern recognition, for the problem of regression, and for the problem of learning a ranking function. SVMlight provides methods for assessing the generalization performance efficiently. It includes two efficient estimation methods for both no error rate and precision/recall. The algorithm proceeds by solving a sequence of optimization problems lower-bounding the solution using a form of local search. SVMlight has been used on a large range of problems, including text classification, image recognition tasks, bioinformatics and medical applications.

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SVMlight classification

SVMlight specifications

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Programming languages:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
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SVMlight distribution


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SVMlight support


  • Marco Sciandrone <>


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Dipartimento di Informatica e Sistemistica Antonio Ruberti, Università di Roma La Sapienza, Roma, Italy; Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Consiglio Nazionale delle Ricerche, Roma, Italy

Funding source(s)

This work was supported by CNR-Agenzia2000, National Research Program Optimization methods for Support Vector Machines training.

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