You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I used successfully the LBA dataset with a 30% identity. However, there is a serious contradiction over the dataset with a 60% identity. To be explicit, as written in the paper, the split of 60% identity leads to training, validation, and test sets of sizes 3678, 460, and 460, respectively. However, there are only 3563 in the training while 452 samples in the test sets.
Can you please take a look at the splitting setting again and see whether there was a mistake?
Best,
The text was updated successfully, but these errors were encountered:
Hi, dear atom3d,
I used successfully the LBA dataset with a 30% identity. However, there is a serious contradiction over the dataset with a 60% identity. To be explicit, as written in the paper, the split of 60% identity leads to training, validation, and test sets of sizes 3678, 460, and 460, respectively. However, there are only 3563 in the training while 452 samples in the test sets.
Can you please take a look at the splitting setting again and see whether there was a mistake?
Best,
The text was updated successfully, but these errors were encountered: