Bug in 5-fold cross-validation

[icarofua]

Bug in 5-fold cross-validation

[adich23]

I am getting very low F-1 and Recall scores with corrected Cross-validation loop vs the given code and what is claimed in the paper for the Two Stream (Shape + Plate).
Can you please check?

[adich23]

@icarofua should I correct the code in one of the script and submit for review? And if it is correct I will make similar modification in all of them.

[icarofua]

@adich23 , Thanks for the clarification of the bug and help. I am doing the changes in the scripts and testing with the new configuration, when everything is correct I will push in the git.

[adich23]

Just FYI these are the performance score for siamese_two_stream.py - Shape + Plate architecture, that I have tried -

• Corrected Cross-Validation code - P:94.342 R:88.326 F:90.99
• Wrong Cross-Validation code - P:93.47 R:95.748 F:94.408

[icarofua]

@adich23, thanks for share.

[adich23]

Hi @icarofua did you get a chance to test this?

[icarofua]

Hi @adich23, yes. I created a function to provide the right KFold, now I am training the new models with this new function, testing and collecting the new results. Apparently some results are different as you reported. I will update this in the github soon.

[icarofua]

Hi @adich23 , the bug is fixed and the code is updated.