| KNN |
n_neighbors |
1–99 |
1 |
Number of neighbors |
| SVC |
C, gamma |
C: 10–100, gamma: 1e−9 to 1e−4 |
C:10, gamma: 10 |
Penalty parameter C of the error term. Gamma is the free parameter of the Gaussian radial basis function |
| LG |
C |
0.1–1 |
0.1 |
Inverse of regularization strength |
| LDA |
N/A |
N/A |
N/A |
N/A |
| NB |
N/A |
N/A |
N/A |
N/A |
| MLP |
solver=‘lbfgs’, alpha=0.5, hidden_layer_sizes |
50–1,050 |
50 |
Number of neurons in hidden layers. In this study we used solver lbfgs and alpha 0.5 |
| RF |
n_estimators, max_depth, min_samples_split, max_features |
n_estimators: 1–91, max_depth: 1–91, min_samples_split: 10–100, max_features: 10–90 |
10 for all parameters |
N/A |
| DT |
max_depth, min_samples_split, max_features |
max_depth: 1–91, min_samples_split: 10–100, max_features: 10–90 |
10 for all parameters |
N/A |
|
K-means |
n_clusters, random_state=0 |
1–17 |
1 |
Number of clusters. In this study we used random state equals to zero |
