Table 3 Best hyperparameters for SVM.rbf, RF, XGB models
From: Machine learning for phase prediction of high entropy carbide ceramics from imbalanced data
Algorithm | Best hyperparameter |
|---|---|
SVM.rbf | C = 1.92, gamma=0.45 |
RF | n_estimators=419, max_depth=19, max_features = ‘log2' |
XGB | n_estimators=80, max_depth=6, learning_rate=0.3 |
