Entropy (Data Science): Revision history

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4 November 2024

3 November 2024

  • curprev 21:4621:46, 3 November 2024‎ 핵톤 talk contribs‎ 2,577 bytes +2,577‎ Created page with "'''Entropy (Data Science)''' In '''Data Science''', '''Entropy''' is a measure of randomness or uncertainty in a dataset. Often used in Decision Trees and other machine learning algorithms, entropy quantifies the impurity or unpredictability of information in a set of data. In classification tasks, entropy helps determine the best way to split data to reduce uncertainty and increase homogeneity in the resulting subsets. ==How Entropy Works== Entropy, denoted as H, is ca..." Tag: Visual edit
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