C5.0 System

A C5.0 System is a fully-supervised decision tree learning system that implements the C4.5 algorithm.

• Context:
  • …
• Counter-Example(s):
  • C4.5 System.
  • ID3 System.
  • rpart System.
  • FOIL System.
• See: J. Ross Quinlan.

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References

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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:
    • 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.