Leave-one-out cross validation of two SVM models.
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ModelND is trained on PositiveH, PositiveC, and NegativeND. ModelNDNN is trained using the same positive set, and a negative set that includes NegativeND together with NegativeNN. Accuracy (Acc), precision (Pre), and recall (Rec) were calculated for both kernerls, RBF and Polynomial.
创建时间:
2015-12-02




