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. 2023 Jan 19;36(3):879–892. doi: 10.1007/s10278-022-00759-9

Table 2.

Hyperparameter search ranges of kNN and SVM classifiers

Feature Value Feature Value
Classifier type kNN Classifier type SVM
Number of neighbors 1–380 Multiclass method One-vs-all, One-vs-one
Distance metric City block, Chebyshev, Correlation, Cosine, Euclidean, Hamming, Jaccard, Mahalanobis, Cubic, Spearman Box constraint level 0.001–1000
Distance weight Equal, Inverse, Squared inverse Kernel scale 0.001–1000
Iteration 30 Kernel function Gaussian, Linear, Quadratic, Cubic