Pruning Set: Difference between revisions
Jump to navigation
Jump to search
m (Text replacement - "]] ** " to "]]. ** ") |
m (Text replacement - "]] Category" to " [[Category") |
||
| Line 19: | Line 19: | ||
__NOTOC__ | __NOTOC__ | ||
[[Category:Concept]] [[Category:Machine Learning]] | [[Category:Concept]] | ||
[[Category:Machine Learning]] | |||
Latest revision as of 23:07, 26 November 2023
A Pruning Set is Training Data subset that is used by a machine learning system.
- Example(s):
pruning decision trees with cost complexity pruning(Python implementation),- …
- Counter-Example(s):
See: Data Set, Training Dataset, Test Dataset, Validation Dataset.
References
2017
- (Sammut & Webb, 2017) ⇒ (2017) "Growing Set". In: Sammut & Webb, 2017.
- QUOTE: A pruning set is a subset of a training set containing data that are used by a learning system to evaluate models that are learned from a growing set.