[Retracted] FVC-NET: An Automated Diagnosis of Pulmonary Fibrosis Progression Prediction Using Honeycombing and Deep Learning

Table 2

Training and validation loss

		Training			Validation
Dropout	Learning rate	MSE	MAE	MAPE	MSE	MAE	MAPE
0.7	0.01	151.127	7.4348	597.8169	58.9223	5.5655	369.3281
0.7	0.001	49.6714	5.0131	393.4241	48.0598	5.2879	146.3218
0.7	0.003	40.8036	4.6676	347.9123	45.57	5.1772	187.84
0.7	0.0005	55.1239	5.258	282.2506	42.2396	4.7951	244.6641
0.75	0.01	247.2195	9.4761	972.0759	43.9481	4.3682	198.3117
0.75	0.001	53.3548	5.0557	316.7048	56.1926	5.9527	212.3215
0.75	0.003	35.02	4.2867	262.8361	43.0999	5.1461	122.87
0.75	0.0005	35.1473	4.294	406.3161	51.8677	5.4012	126.1631