Implemented the Proximal Support Vector Machine (PSVM) algorithm from scratch in Octave as a nonlinear optimization problem. Conducted binary classification using a bilevel cross-validation approach with 10-fold and 5-fold validation. Visualized the results, achieving an F-score of 0.45 and a correctness of 0.88.
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An implementation of the Proximal Support Vector Machine model using Octave, used for binary classification.
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