# Experiments to do:

# Bagging
# Random Forest

# Odte
# Random Forest
ODTE&ODTE Random Forest rbf-best&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
ODTE&ODTE Random Forest linear-best&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
ODTE&ODTE Random Forest rbf-random&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
ODTE&ODTE Random Forest linear-random&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
ODTE&ODTE Random Forest rbf-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
ODTE&ODTE Random Forest linear-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}