Table 7.
RF | LR | XGBoost-tree | SVM-linear | NNET | |
---|---|---|---|---|---|
RF | NA | 7/75 | 4/75 | 3/75 | 5/75 |
LR | 35/75 | NA | 2/75 | 0/75 | 1/75 |
XGBoost-tree | 45/75 | 7/75 | NA | 1/75 | 2/75 |
SVM-linear | 56/75 | 48/75 | 46/75 | NA | 46/75 |
NNET | 49/75 | 12/75 | 5/75 | 7/75 | NA |
LR: logistic regression model. NNET: neural networks. RF: random forest. SVM-linear: support vector machine-linear. XGBoost-tree: extreme gradient boosting-tree. NA: not available.