LibSVM is an open-source library for support vector machines (SVMs) widely used for classification, regression, and outlier detection. Designed for researchers, students, and practitioners in machine learning and data science, LibSVM provides a simple interface for training and prediction, along with tools for model selection and parameter tuning. It is compatible with many programming languages and includes documented sample data for experimentation.
Visit LibSVM's official website for product details and getting started.
Comprehensive guide to using LibSVM, including installation instructions and examples.
Access the source code, report issues, and contribute to the LibSVM project.