ORCA supplies normalized indices that break down the squared RKHS norm of a fitted SVM classifier across interaction orders, total degrees, marginal effects, and pairwise terms for truncated orthogonal polynomial kernels.
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Structural interpretability in SVMs with truncated orthogonal polynomial kernels
ORCA supplies normalized indices that break down the squared RKHS norm of a fitted SVM classifier across interaction orders, total degrees, marginal effects, and pairwise terms for truncated orthogonal polynomial kernels.