C5.0 Algorithm
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A C5.0 Algorithm is a decision tree learning algorithm that ...
References
2015
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/C4.5_algorithm#Improvements_in_C5 Retrieved:2015-10-23.
- Quinlan went on to create C5.0 and See5 (C5.0 for Unix/Linux, See5 for Windows) which he markets commercially. C5.0 offers a number of improvements on C4.5. Some of these are: [1] [2]
- Speed - C5.0 is significantly faster than C4.5 (several orders of magnitude)
- Memory usage - C5.0 is more memory efficient than C4.5
- Smaller decision trees - C5.0 gets similar results to C4.5 with considerably smaller decision trees.
- Support for boosting - Boosting improves the trees and gives them more accuracy.
- Weighting - C5.0 allows you to weight different cases and misclassification types.
- Winnowing - a C5.0 option automatically winnows the attributes to remove those that may be unhelpful.
- Source for a single-threaded Linux version of C5.0 is available under the GPL.
- Quinlan went on to create C5.0 and See5 (C5.0 for Unix/Linux, See5 for Windows) which he markets commercially. C5.0 offers a number of improvements on C4.5. Some of these are: [1] [2]
- ↑ Is See5/C5.0 Better Than C4.5?
- ↑ M. Kuhn and K. Johnson, Applied Predictive Modeling, Springer 2013