Table 1 Machine Learning algorithms used for classification between experts and novices.
From: Nonlinear and machine learning analyses on high-density EEG data of math experts and novices
Algorithm | Parameters |
|---|---|
Nearest Neighbors | Number neighbors: 3, 5, 7, 9, 11 |
Linear SVM | Kernel: linear, C: 0.025, 0.5, 0.75 |
Decision Tree | Maximum depth: 3, 5, 7 |
AdaBoost | Number estimators: 25, 50, 100 |
