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 mloss.org.
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