Table 10.
ProtInteract performance of five-fold cross-validation for three different multi-class classification scenarios.
Species | Scenario | Accuracy |
AUC |
AveragePrecision |
|||
---|---|---|---|---|---|---|---|
TCN Encoded | LSTM Encoded | TCN Encoded | LSTM Encoded | TCN Encoded | LSTM Encoded | ||
H. sapiens | 2- classes | 0.9568 | 0.9315 | 0.9600 | 0.9400 | 0.9550 | 0.9400 |
3- classes | 0.9244 | 0.9182 | 0.9340 | 0.9200 | 0.8950 | 0.8600 | |
5 - classes | 0.9132 | 0.8756 | 0.9060 | 0.8940 | 0.7920 | 0.7620 | |
M. musculus | 2- classes | 0.9145 | 0.8456 | 0.8600 | 0.8100 | 0.8450 | 0.7850 |
3- classes | 0.8983 | 0.8337 | 0.8600 | 0.8100 | 0.7870 | 0.7850 | |
5- classes | 0.8749 | 0.8216 | 0.8480 | 0.7980 | 0.7000 | 0.6800 |