Research Article

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

Table 5

Comparison of Laplace Log-Likelihood scores for the proposed FVC-Net and other models in literature.

Comparison with different methodsLaplace Log-Likelihood

FVC-Net (proposed model)−6.641
Elastic Net Regression [19]−6.73
Ridge Regression [19]−6.81
Fibrosis Net [20]−6.8188
Kaggle 1st place [cf. 20]−6.8305
Kaggle 2nd place [cf. 20]−6.8311
Kaggle 3rd Place [cf. 20]−6.8336
Multiple Quantile Regression [19]−6.92