Which of the following are symptoms of an underfitted neural network model? $($Multi$-$Choice$)$

Options:

$1)$ The model performs well on the training set but poorly on the test set.

$2)$ The model performs poorly on both the training and test datasets.

$3)$ High validation error

$4)$ Low training error and high validation error

$5)$ High training error