Table 2.
Improving AUCb with techniques that handle imbalanced data problems.
| Method | Am | Cm | Gm | Tm | m1A | m5C | m5U | m6A | m6Am | m7G | Ψ | I | Mean | Median |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OHEM | −0.0864 | −0.0156 | 0.0188 | −0.0028 | −0.0404 | 0.0124 | −0.0102 | −0.0832 | −0.0344 | 0.0804 | −0.0156 | −0.0252 | −0.0169 | −0.0156 |
| UW | −0.0144 | −0.0025 | −0.0384 | −0.0176 | 0.0596 | −0.0128 | −0.0372 | 0.0128 | −0.0924 | −0.0032 | −0.0204 | 0.0168 | −0.0125 | 0.0010 |
| OHEM + UW | 0.0620 | 0.0152 | −0.0068 | −0.0052 | −0.0276 | −0.0180 | −0.0080 | 0.0222 | −0.0360 | 0.0760 | 0.0108 | 0.0394 | 0.0103 | 0.0145 |
| Focal Loss | −0.0064 | −0.1208 | −0.0612 | −0.1192 | 0.0132 | −0.0792 | −0.0336 | −0.0092 | −0.0400 | −0.0620 | −0.1142 | −0.0444 | −0.0564 | −0.0516 |
Bold indicates the best performance in comparison.