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Linear vs. Nonlinear SVM Feature Linear SVM Nonlinear SVM Data Separability Linearly separable data Non-linearly separable data Decision Boundary Straight line/hyperplane Complex shapes (e.g., curves) ...

Kernel Type SVM can map data into higher dimensions using kernel functions. linear: For linearly separable data. rbf (Radial Basis Function): Popular, non-linear, handles complex data well. poly: ...