The optimal parameters and performance of BPB-PPMS.
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https://figshare.com/articles/dataset/_The_optimal_parameters_and_performance_of_BPB_PPMS_/574585
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The optimal parameter combination was determined in a grid-based manner introduced in LIBSVM packages[11].
(a)Here, input window size for SVMs is two times sliding window size.
(b)RBF, Radial Basis Function .
(c), the penalty parameter of the error term in objective function.
(d), the parameter in Radial Basis Function.
(e)AUC, the area under ROC.
(f)MCC, Matthews Correlation Coefficient.
创建时间：
2013-02-21
