Dealing with datasets having large class type imbalances is known as an imbalanced dataset. This involves techniques such as over-sampling, under-sampling and cost-sensitive learning to make sure the dataset is balanced.
Dealing with datasets having large class type imbalances is known as an imbalanced dataset. This involves techniques such as over-sampling, under-sampling and cost-sensitive learning to make sure the dataset is balanced.