Table 4. A list of the classifiers employed and their respective hyperparameters which were optimized utilizing a grid-search routine prior to classifier training and testing.

Classifiers and their respective hyperparameters
L1-penalized logistic regression
C: [10^4 … 10^2]
L2 -penalized Linear SVM
C: [10^-4 … 10^2]
Random Forest
Max depth : {10, 20, 30}
# trees: {25, 50, 100}
minimum # of split samples: {2, 3, 4, 5}
Extremely Randomized Trees:
Max depth : {10, 20, 30}
# trees: {25, 50, 100}
minimum # of split samples: {2, 3, 4, 5}
Gradient Boosting:
Learning rate: [10^-4 … 1.0]
# boosting stumps: {25, 50, 100}
Depth of each boosting stump: {2, 3, 4, 5}
Subsampling: {0.5, 1.0}