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few images in validation and test set
I've a dataset with about 123 images (two categories, 19 defect and 104 no defect).
I've to implement a classifier so I've decided to split my data in train (70% of all data), validation (20% of all ...
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How do I perform a train-validation split on data with class imbalance such that the class imbalance ratio is preserved?
My data has class imbalance-- that is, some classes have significantly fewer training samples than the others. I want to perform a train-validation split in such as way that the class ratios are ...