$($d$)$

$2$ points possible $($graded$)$

Since the convergence of the perceptron algorithm doesn't depend on the initialization, the end performance

on the training set must be the same. Are the resulting $\text{'}$s the same regardless of the initialization?

Yes

No

Does this necessarily imply that the performance on a test set is the same?

Yes

No