Table 3.

S-phase picking.

Model	μ	σ	Pr	Re	F1	MAE	MAPE	Training data	Training size	Ref.
EQTransformer	0.00	0.11	0.99	0.96	0.98	0.01	0.00	Global	1.2M	This Study
PhaseNet	−0.02	0.11	0.96	0.93	0.94	0.09	0.01	North California	780K	8
GPD	0.03	0.14	0.81	0.83	0.82	0.10	0.01	South California	4.5M	10
PickNet	0.08	0.17	0.75	0.75	0.75	0.10	0.03	Japan	740K	2
PpkNet	0.02	0.15	1.00	0.91	0.95	0.10	1.85	Japan	30K	5
Yews	−0.02	0.13	0.83	0.55	0.66	0.11	0.01	Taiwan	1.4M	4
Kurtosis	−0.10	0.13	0.89	0.39	0.55	0.11	0.01	—	—	17
FilterPicker	−0.05	0.13	0.61	0.41	0.49	0.10	0.01	—	—	18
AIC	−0.07	0.15	0.87	0.51	0.64	0.12	0.02	—	—	19

μ and σ are mean and standard deviation of errors (ground truth—prediction) in seconds respectively. Pr, Re, and F1 are precision, recall, and F1-score respectively. MAEand MAPE are mean absolute error and mean absolute percent error respectively.

Bold values represent the best performance.