stratified-sampling

Stratified sampling involves dividing a population into distinct subgroups or strata and then sampling from each stratum to ensure that the sample reflects the diversity of the population. This technique is particularly useful in ensuring that minority classes are adequately represented in the samples, leading to more reliable and generalizable results in model training and evaluation. It is often used in the context of classification tasks.