Visualization of the classification loss values problem

[amazedan]

Thank you for your great works!
I'm not quite clear on how the visualization map in Section 4.7 were generated(Fig. 5). Could you please share the relevant repo links or code references?
I appreciate your response to my questions.

[zyh-uaiaaaa]

Hi Amazedan,

Firstly, you can assess the performance of the trained model by evaluating it on all test samples and obtaining the loss values for each sample. Afterward, you can utilize matplotlib to create a histogram depicting the distribution of the loss values.

[amazedan]

Thank you! I think I understand how to draw now.

[amazedan]

Hello, author. I'd like to confirm with you: are we calculating the loss values on the test set? If so, how do we differentiate between noisy and clean samples?