Table 2 Values of each metric for each method submitted to the RMaP challenge obtained by comparing the method’s predictions with expected values
From: The RMaP challenge of predicting RNA modifications by nanopore sequencing
Metrics | Challenge 1 | Challenge 2 | Challenge 3 | ||||
|---|---|---|---|---|---|---|---|
Methods | Methods | Methods | |||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | |
RMSE | 0.052 | 0.062 | 0.105 | 0.010 | 0.021 | 0.145 | 0.148 |
MAE | 0.015 | 0.015 | 0.033 | 0.002 | 0.006 | 0.046 | 0.047 |
Max dev. | 0.550 | 0.666 | 0.809 | 0.142 | 0.109 | 0.497 | 0.653 |
Min dev. | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | 0.309 | 0.309 |
Accuracy | 0.938 | 0.960 | 0.820 | 1.000 | 1.000 | 0.822 | 0.900 |
F1 | 0.554 | 0.750 | 0.164 | 1.000 | 1.000 | 0.822 | 0.900 |
