A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models

Table 3

Accuracy of GM models.

Model	ME	RMSE	MAE	MPE	MAPE
EGM_training	−194.98	3301.76	2721.9	−4.14	13.02
EGM_testing	−12710.28	13539.22	12710.28	−47.51	47.51
EDGM_training	−222.41	3303.21	2729.17	−4.26	13.07
EDGM_testing	−12785.03	13612.4	12785.03	−47.79	47.79
ODGM_training	−191.14	3303.79	2711.09	−3.99	12.85
ODGM_testing	−13083.32	13918.45	13083.32	−48.89	48.89
DGM_training	−255.17	3305.4	2748.96	−4.56	13.32
DGM_testing	−12452.21	13271.52	12452.21	−46.56	46.56
Verhulst_training	−1582.72	3212.63	2745.38	−11.26	15.32
Verhulst_testing	−5730.92	6113.1	5730.92	−21.53	21.53