Algorithm | Recall | Precision | F1-score | Balanced accuracy | ROC AUC |
---|---|---|---|---|---|
KNN | 0.807 ± 0.045 | 0.821 ± 0.032 | 0.803 ± 0.05 | 0.807 ± 0.045 | 0.892 ± 0.033 |
GBM | 0.746 ± 0.12 | 0.77 ± 0.1 | 0.732 ± 0.136 | 0.746 ± 0.12 | 0.876 ± 0.075 |
DTC | 0.818 ± 0.061 | 0.845 ± 0.054 | 0.814 ± 0.063 | 0.818 ± 0.061 | 0.907 ± 0.054 |
ADB | 0.715 ± 0.104 | 0.732 ± 0.09 | 0.703 ± 0.118 | 0.715 ± 0.105 | 0.835 ± 0.078 |
ETC | 0.885 ± 0.063 | 0.9 ± 0.052 | 0.883 ± 0.066 | 0.885 ± 0.063 | 0.952 ± 0.039 |
SVM | 0.723 ± 0.076 | 0.726 ± 0.072 | 0.719 ± 0.083 | 0.723 ± 0.076 | 0.805 ± 0.07 |
XGB | 0.77 ± 0.11 | 0.809 ± 0.083 | 0.755 ± 0.128 | 0.77 ± 0.11 | 0.927 ± 0.075 |
RF | 0.859 ± 0.078 | 0.883 ± 0.061 | 0.855 ± 0.082 | 0.859 ± 0.078 | 0.953 ± 0.053 |