R: Summaries of C5.0 Models

summary.C5.0 {C50} | R Documentation

## Summaries of C5.0 Models

### Description

This function prints out detailed summaries for C5.0 models.

### Usage

    ## S3 method for class 'C5.0'
    summary(object, ...)

### Arguments

`object` | an object of class `C5.0`
`...` | other options (not currently used)

### Details

The output of this function mirrors the output of the C5.0 command line version.

The terminal nodes have text indicating the number of samples covered by the node and the number that were incorrectly classified. Note that, due to how the model handles missing values, the sample numbers may be fractional.

There is a difference in the attribute usage numbers between this output and the nominal command line output. Although the calculations are almost exactly the same (we do not add 1/2 to everything), the C code does not display that an attribute was used if the percentage of training samples covered by the corresponding splits is very low. Here, the threshold was lowered and the fractional usage is shown.

### Value

A list with values

`output` | a single text string with the model output
`comp2` | the call to this function

### Author(s)

Original GPL C code by Ross Quinlan, R code and modifications to C by Max Kuhn, Steve Weston and Nathan Coulter

### References

Quinlan R (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, http://www.rulequest.com/see5-unix.html

### See Also

`C5.0()`, `C5.0Control()`, `summary.C5.0()`, `C5imp()`

### Examples

    library(modeldata)
    data(mlc_churn)

    treeModel <- C5.0(x = mlc_churn[1:3333, -20], y = mlc_churn$churn[1:3333])
    summary(treeModel)

[Package C50 version 0.1.5 Index]