Classification_tuning_results.txt

TUNING PARAMS

LR:
base {'penalty': 'l2', 'random_state': 0, 'solver': 'sag'}
mi {'penalty': 'none', 'random_state': 0, 'solver': 'newton-cg'}
et {'penalty': 'none', 'random_state': 0, 'solver': 'newton-cg'}
pca {'penalty': 'l1', 'random_state': 0, 'solver': 'liblinear'}

LDA:
base {'shrinkage': 0.0, 'solver': 'lsqr'}
mi {'shrinkage': 0.5, 'solver': 'lsqr'}
et {'shrinkage': 0.6, 'solver': 'lsqr'}
pca {'shrinkage': 0.0, 'solver': 'lsqr'}

NB:
base {'var_smoothing': 1e-06}
mi {'var_smoothing': 1.0}
et {'var_smoothing': 0.1}
pca {'var_smoothing': 0.01}

RF:
base {'bootstrap': True, 'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 1000}
mi {'bootstrap': True, 'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 1000}
et {'bootstrap': False, 'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 1000}
pca {'bootstrap': True, 'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}

MLP:
base {'activation': 'relu', 'hidden_layer_sizes': 250, 'learning_rate_init': 0.1, 'solver': 'sgd'}
mi {'activation': 'relu', 'hidden_layer_sizes': 250, 'learning_rate_init': 0.1, 'solver': 'sgd'}
et {'activation': 'relu', 'hidden_layer_sizes': 250, 'learning_rate_init': 0.1, 'solver': 'sgd'}
pca {'activation': 'relu', 'hidden_layer_sizes': 250, 'learning_rate_init': 0.1, 'solver': 'sgd'}

SVM:
base {'C': 100, 'gamma': 0.01}
mi {'C': 100, 'gamma': 0.01}
et {'C': 100, 'gamma': 0.01}
pca {'C': 100, 'gamma': 0.01}