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Support Vector Machines (SVMs) have been gaining popularity as classifiers with good generalization ability. In an attempt to study their applicability to typical automotive problems, this paper investigates the modeling of the operating envelope for a direct injection gasoline (GDI) engine. This envelope defines the admissible ranges for key engine operating variables so that specified conditions on engine roughness and misfire are satisfied. The SVM model of the operating envelope is subsequently used by the engine control strategy to set engine operating variables such as spark and injection timing to avoid excessive engine roughness and misfire. Findings and conclusions from this study related to generalization ability and complexity of the SVM classifier models are summarized.