Editing Entropy (Data Science)

From CS Wiki
Revision as of 21:46, 3 November 2024 by 핵톤 (talk | contribs) (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...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Warning: You are editing an out-of-date revision of this page. If you publish it, any changes made since this revision will be lost.

Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.

Please note that all contributions to CS Wiki are considered to be released under the Creative Commons Attribution-NonCommercial-ShareAlike (see CS Wiki:Copyrights for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource. Do not submit copyrighted work without permission!
Cancel Editing help (opens in new window)