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I have a question related to the weight estimation for handle the imbalance training. In your paper the following formula is showed: w(y) = (N(y) -N(c_min) + lambda)/(N(c_max) - N(c_min)). However as far as I understand this formula is giving a high weight to classes that have more representation in the dataset and a low weight to the classes that have less representation. Is it a mistake? Can be that the numerator and denominator are switched?
The text was updated successfully, but these errors were encountered:
Hi,
I have a question related to the weight estimation for handle the imbalance training. In your paper the following formula is showed: w(y) = (N(y) -N(c_min) + lambda)/(N(c_max) - N(c_min)). However as far as I understand this formula is giving a high weight to classes that have more representation in the dataset and a low weight to the classes that have less representation. Is it a mistake? Can be that the numerator and denominator are switched?
The text was updated successfully, but these errors were encountered: