Stratified Sampling: Revision history

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5 November 2024

  • curprev 06:4206:42, 5 November 2024‎ 핵톤 talk contribs‎ 4,800 bytes +4,800‎ Created page with "Stratified Sampling is a sampling technique used to ensure that subsets of data (called “strata”) maintain the same distribution of key characteristics as the original dataset. In data science and machine learning, stratified sampling is often used to create training, validation, and test splits, particularly when dealing with imbalanced datasets. This method ensures that each subset is representative of the entire dataset, improving the model's ability to generalize..." Tag: Visual edit
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