After training, what can be inferred if the validation loss keeps decreasing but training loss remains high?
Answer options
A
Model architecture is flawed
B
Training data is corrupted
C
Model is perfectly trained
D
Model is overfitting
E
Model is underfitting
Correct answer: Model is underfitting
Explanation
The source marks the correct answer as: Model is underfitting.