Table 3.
Hyperparameters and their ranges of values
Model | Hyperparameter | Values |
---|---|---|
Logistic Regression |
l1-ratio Inverse regularization strength C |
{0.75, 0.85, 0.95} {10−3, 10−2, … , 102} |
Random Forest |
# of trees Max. depth Max. features |
{5, 10, … , 100} {1, 2, … , 9} {None, ‘sqrt’, 0.2, 0.5, 0.7} |
Gradient Boosting |
# of trees Max. depth |
{5, 10, … , 100} {1, 2, 3, 4} |