Data Partition: Revision history

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    4 November 2024

    • curprev 16:3616:36, 4 November 2024‎ 핵톤 talk contribs‎ 5,033 bytes +5,033‎ Created page with "'''Data Partition is a process in data science and machine learning where a dataset is divided into separate subsets to train, validate, and test a model'''. Data partitioning ensures that the model is evaluated on data it has not seen before, helping prevent overfitting and ensuring that it generalizes well to new data. Common partitions include training, validation, and test sets, each serving a specific purpose in the model development process. ==Types of Data Partiti..." Tag: Visual edit
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