Comments (3)
Hi,
Acc@5 is the accuracy for the 5 predicted classes with highest probability. When you set NUM_CLASSES to 5, it mean that your dataset only has 5 classes, so these 5 classes will always have highest probability => acc@5 is always 100%.
Acc@5 is only meaningful if your dataset has more than 5 classes
Here is one explanation for these term if you are still not clear: https://www.quora.com/What-does-the-terms-Top-1-and-Top-5-mean-in-the-context-of-Machine-Learning-research-papers-when-report-empirical-results
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@uvipen Thanks for your reply quickly.
I thought that will follwed the NUM_CLASSES setting. If my prediction classes less than 5, I need to modify LINE 147 & 193 at train.py. Am I correct?
from regnet.
Yes, exactly
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