Table 5. The optimal hyperparameters of the ML algorithms used in multi-class misinformation and situational information classification.
Classifier | Hyper-parameters | Misinformation classification | Situational classification |
---|---|---|---|
SVM (linear kernel) | C | 1 | 1 |
Gamma | 1 | 1 | |
RF (entropy criterion) | n_estimators | 50 | 200 |
max_depth | 100 | 500 | |
max_features | sqrt | sqrt | |
XGBoost | max_depth | 10 | 10 |
n_estimators | 100 | 100 | |
random_state | 42 | 100 | |
eta | 0.3 | 0.3 | |
subsample | 1 | 1 |