Table 3.
Performance comparison of deep forest embedding different units based on data 8
Configuration | F1 score | AUPR | Recall | MCC | G-mean |
---|---|---|---|---|---|
DF(ADA∗2+BAG∗2) | 0.500 | 0.582 | 0.384 | 0.509 | 0.614 |
DF(ADA∗2+GBC∗2) | 0.484 | 0.559 | 0.350 | 0.508 | 0.588 |
DF(BAG∗2+GBC∗2) | 0.493 | 0.561 | 0.365 | 0.512 | 0.598 |
DF(RF-CUS∗2+ETF-DR∗2) | 0.572 | 0.591 | 0.537 | 0.535 | 0.722 |
DF, deep forest; ADA, ADAboost; BAG, BAGging; GBC, gradient boosting classifier.