When to use stratified sampling?
- Population Heterogeneity: When the population can be divided into mutually exclusive subgroups based on a specific characteristic.
- Equal Representation: When we want to ensure a specific characteristics or group of characteristics is adequately represented in the final sample.
- Resource Constraints: When you want to generalize the study results to the entire population and ensure that the estimates are valid for each stratum, but the resources are limited.
Examples include Market research where the stratification is generally down by income levels or age groups, and Election exit poll where stratification is generally done by demographics.
How to Implement Stratified Sampling with Scikit-Learn
In this article, we will learn about How to Implement Stratified Sampling with Scikit-Learn.