Project details for C5.0

Logo C5.0 2.07

by zenog - September 2, 2011, 14:49:04 CET [ Project Homepage BibTeX Download ]

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C5.0 is the successor of the C4.5 decision tree algorithm/tool. In particular, it is faster and more memory-efficient.

C5.0 also supports boosting, variable misclassification costs, case weights, sampling, and cross-validation.

C5.0's attribute types are numbers, dates, times, timestamps, ordered discrete attributes, and nominal. Missing and NA values are supported.

Additional attributes can be defined by combinations of existing attributes.

Changes to previous version:

Initial Announcement on

BibTeX Entry: Download
Supported Operating Systems: Linux
Data Formats: Cfourpointfive
Tags: Classification, Decision Trees, Boosting, Decision Tree Learning, Rule Learning
Archive: download here


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