Entropy (Data Science): Revision history

From IT Wiki

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

5 November 2024

4 November 2024

  • curprev 11:4611:46, 4 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
Retrieved from "https://itwiki.kr/w/Entropy_(Data_Science)"