Improving classification performance by feature space transformations and model selection

no code implementations • 14 Jul 2019 • Jose Ortiz-Bejar, Eric S. Tellez, Mario Graff

Improving the performance of classifiers is the realm of feature mapping, prototype selection, and kernel function transformations; these techniques aim for reducing the complexity, and also, improving the accuracy of models.

Classification General Classification +2