Research Article
Predicting Prognostic Effects of Acupuncture for Depression Using the Electroencephalogram
Table 2
Hyperparameter configuration of machine learning methods.
| Methods | Optimized hyperparameter settings |
| LR | Tolerance: ; solver:“Newton-cg”; | Iterated epochs:100. | RF | No. of estimators:100; criterion = “gini”; | Max features: “Sqrt”. | SVM-linear | kernel:“linear”; tolerance: . | SVM-poly | kernel:“poly”; tolerance: ; degree: 3. | SVM-RBF | kernel:“rbf”; tolerance: ; | Gamma: “Scale”. |
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