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Table 3.

F-score on validation set for the multiclass classification problem for four different models corresponding to different SVM kernels (from top to bottom): linear, radial basis, polynomial of degree two, polynomial of degree three.

Kernel Optimized C Optimized γ F-score
Linear 0.0700 N/A 0.920
RBF 34.000 0.003 0.912
Poly 2 0.0005 0.500 0.916
Poly 3 0.0005 0.050 0.918

Notes. Columns: Kernel (first column), hyperparameters optimized in the classification context (second and third columns), and F-score value (last column). Rows: SVM kernels.

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