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. Author manuscript; available in PMC: 2018 Mar 31.
Published in final edited form as: Drug Discov Today Dis Models. 2017 Mar 31;19:51–57. doi: 10.1016/j.ddmod.2017.02.003

Figure 4. SVM classification accuracy generally increases when using 1–10 parameters, indicating utility of multitarget pharmacy approach to treating dystonia.

Figure 4

(a) Best classification accuracy from all combinations of x parameters (solid line: mean cross-validation accuracy (n = 10); dotted line: standard error). (b) Best parameter combinations (red: parameter used; blue: parameter not used). x-axis in (a),(b) indicates number of parameters used.