config.ini

[Model]
model_name = knn, logistic_regression, random_forest, xgboost, svm

[Data]
dataset_path = ./data/dataset/overlap
features_path = ./data/features/features_overlap.csv
labels_path = ./data/features/labels_overlap.npy
par_ids_path = ./data/features/par_ids_overlap.npy

[Features]
selector_name = baseline
skewness_alpha = True
skewness_beta = True
skewness_gamma = True
skewness_delta = True
skewness_theta = True
kurtosis_alpha = True
kurtosis_beta = True
kurtosis_gamma = True
kurtosis_delta = True
kurtosis_theta = True
hjorth_activity_alpha = True
hjorth_activity_beta = True
hjorth_activity_gamma = True
hjorth_activity_delta = True
hjorth_activity_theta = True
hjorth_mobility_alpha = True
hjorth_mobility_beta = True
hjorth_mobility_gamma = True
hjorth_mobility_delta = True
hjorth_mobility_theta = True
hjorth_complexity_alpha = True
hjorth_complexity_beta = True
hjorth_complexity_gamma = True
hjorth_complexity_delta = True
hjorth_complexity_theta = True
shannon_entropy_alpha = False
shannon_entropy_beta = False
shannon_entropy_gamma = False
shannon_entropy_delta = False
shannon_entropy_theta = False

[Train]
num_test_part = 5
n_folds = 20
use_outliers = True
n_features = 1, 5, 475