id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ejpam-2620	Karaca, Yeliz; Hayta, Åžengul; Karabudak, Rana	C-Support Vector Classification the Estimation of the MS Subgroups Classification with Selected Kernels and Parameters	2016	20	.pdf	application/pdf	7699	478	66	Table 6: C-SVC Kernel Parameters Kernel Type LINEAR POLY RBF SIGMOID Degree(poly) 1.00 2.00 1.00 3.00 Gamma in kernel function (poly/rbf/sigmoid) 0 Coef in kernel function 0 Tolerance of termination criteria (eps) 0.001 C (Complexity Cost) 1 Compute probability estimates 1 Use shrinking heuristics 1 Data normalization 1 As to (Radial Basis Function) Kernel, in the study Gaussian kernel type has been used. Many different practices have been applied for parameter values with Gamma in kernel function, Coef in kernel function, Tolerance of termination criteria, Complexity cost, Compute probability estimates, Use shrinking heuristics, and Data normalization.	cache/ejpam-2620.pdf	txt/ejpam-2620.txt