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Table 1 Parameter tuning range of RBF-SVM

From: Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

RBF-SVM parameters

Tuning range

Sigma (kernel width)

[0.001, 0.011, 0.021, …, 0.091]

C (cost of constraints violation)

[1, 2, 3, …, 10]

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BMC Bioinformatics

ISSN: 1471-2105

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