Decision trees | Classification algorithms

C4.5 algorithm

C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier. In 2011, authors of the Weka machine learning software described the C4.5 algorithm as "a landmark decision tree program that is probably the machine learning workhorse most widely used in practice to date". It became quite popular after ranking #1 in the Top 10 Algorithms in Data Mining pre-eminent paper published by Springer LNCS in 2008. (Wikipedia).

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Related pages

ID3 algorithm | Statistical classification | Pseudocode | Partition of a set | Boosting (machine learning) | Decision tree | Weka (machine learning) | Entropy (information theory) | Feature (machine learning) | Winnow (algorithm) | Recursion (computer science) | Data mining