A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels

Table 2

The parameters of the SVM model for FAP.

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Support vector machine object of class “ksvm”

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SV type: C-bsvc (classification)

Parameter: cost

ANOVA RBF kernel function

Hyperparameter:

Number of support vectors: 19

Objective function value: -0.0807

Training error: 0

Probability model included

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