Table 3.
Parameters | Value |
---|---|
Logistic regression | C = 20, penalty = l2 |
Liner SVC | C = 1, penalty = l2 |
SVM (rbf kernel) | C = 16, gamma = 0.0078125 |
Decision tree | Max_depth = 7 |
Random forest | Max_depth = 11, n_estimators = 170 |
Gradient boosting | Max_depth = 5, n_estimators = 130 |