Table 3 Predictive performance of structural features for the four benchmark datasets
Features | DT | LR | ANN | |||
|---|---|---|---|---|---|---|
Acc.(%) | AUC | Acc.(%) | AUC | Acc.(%) | AUC | |
746 Dataset | ||||||
SSE | 62.1 | 0.626 | 59.4 | 0.715 | 78.3 | 0.838 |
SA | 83.7 | 0.791 | 78.4 | 0.771 | 81.0 | 0.771 |
Str_All | 83.7 | 0.791 | 70.2 | 0.806 | 78.4 | 0.897 * |
1625 Dataset | ||||||
SSE | 81.7 | 0.756 | 76.8 | 0.673 | 85.3 | 0.742 |
SA | 91.4 | 0.920 | 89.0 | 0.961 | 96.3 | 0.977 |
Str_All | 91.5 | 0.920 | 85.4 | 0.936 | 89.0 | 0.935 |
Schilling Dataset | ||||||
SSE | 87.1 | 0.500 | 88.3 | 0.775 | 88.3 | 0.800 |
SA | 89.5 | 0.788 | 84.0 | 0.828 | 87.1 | 0.840 |
Str_All | 89.5 | 0.788 | 83.4 | 0.824 | 85.8 | 0.843 |
Impens Dataset | ||||||
SSE | 85.1 | 0.500 | 85.1 | 0.729 | 87.2 | 0.761 |
SA | 89.3 | 0.736 | 89.3 | 0.918 | 95.7 | 0.950 |
Str_All | 87.2 | 0.571 | 89.3 | 0.857 | 89.3 | 0.914 |