I’m not sure that I’m saying the right thing but can you help me with the understanding of the kfold strategy?
right now I’m working on kaggle Imet competition. dataset class distribution is very imbalanced, so I splitted the datset by 5 fold considering the distribution. then I trained using 80% of the dataset and used 20% for validation.
everytime I train the model and validate using diffenrent fold I would get 5 different model. I’m trying to mean these…
Am I understanding correctly?..