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

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

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

data(churn)

treeModel <- C5.0(x = churnTrain[, -20], y = churnTrain$churn)
summary(treeModel)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(C50)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/C50/summary.C5.0.Rd_%03d_medium.png", width=480, height=480)
> ### Name: summary.C5.0
> ### Title: Summaries of C5.0 Models
> ### Aliases: summary.C5.0
> ### Keywords: models
> 
> ### ** Examples
> 
> data(churn)
> 
> treeModel <- C5.0(x = churnTrain[, -20], y = churnTrain$churn)
> summary(treeModel)

Call:
C5.0.default(x = churnTrain[, -20], y = churnTrain$churn)


C5.0 [Release 2.07 GPL Edition]  	Mon Jul  4 15:30:25 2016
-------------------------------

Class specified by attribute `outcome'

Read 3333 cases (20 attributes) from undefined.data

Decision tree:

total_day_minutes > 264.4:
:...voice_mail_plan = yes:
:   :...international_plan = no: no (45/1)
:   :   international_plan = yes: yes (8/3)
:   voice_mail_plan = no:
:   :...total_eve_minutes > 187.7:
:       :...total_night_minutes > 126.9: yes (94/1)
:       :   total_night_minutes <= 126.9:
:       :   :...total_day_minutes <= 277: no (4)
:       :       total_day_minutes > 277: yes (3)
:       total_eve_minutes <= 187.7:
:       :...total_eve_charge <= 12.26: no (15/1)
:           total_eve_charge > 12.26:
:           :...total_day_minutes <= 277:
:               :...total_night_minutes <= 224.8: no (13)
:               :   total_night_minutes > 224.8: yes (5/1)
:               total_day_minutes > 277:
:               :...total_night_minutes > 151.9: yes (18)
:                   total_night_minutes <= 151.9:
:                   :...account_length <= 123: no (4)
:                       account_length > 123: yes (2)
total_day_minutes <= 264.4:
:...number_customer_service_calls > 3:
    :...total_day_minutes <= 160.2:
    :   :...total_eve_charge <= 19.83: yes (79/3)
    :   :   total_eve_charge > 19.83:
    :   :   :...total_day_minutes <= 120.5: yes (10)
    :   :       total_day_minutes > 120.5: no (13/3)
    :   total_day_minutes > 160.2:
    :   :...total_eve_charge > 12.05: no (130/24)
    :       total_eve_charge <= 12.05:
    :       :...total_eve_calls <= 125: yes (16/2)
    :           total_eve_calls > 125: no (3)
    number_customer_service_calls <= 3:
    :...international_plan = yes:
        :...total_intl_calls <= 2: yes (51)
        :   total_intl_calls > 2:
        :   :...total_intl_minutes <= 13.1: no (173/7)
        :       total_intl_minutes > 13.1: yes (43)
        international_plan = no:
        :...total_day_minutes <= 223.2: no (2221/60)
            total_day_minutes > 223.2:
            :...total_eve_charge <= 20.5: no (295/22)
                total_eve_charge > 20.5:
                :...voice_mail_plan = yes: no (20)
                    voice_mail_plan = no:
                    :...total_night_minutes > 174.2: yes (50/8)
                        total_night_minutes <= 174.2:
                        :...total_day_minutes <= 246.6: no (12)
                            total_day_minutes > 246.6:
                            :...total_day_charge <= 43.33: yes (4)
                                total_day_charge > 43.33: no (2)


Evaluation on training data (3333 cases):

	    Decision Tree   
	  ----------------  
	  Size      Errors  

	    27  136( 4.1%)   <<


	   (a)   (b)    <-classified as
	  ----  ----
	   365   118    (a): class yes
	    18  2832    (b): class no


	Attribute usage:

	100.00%	total_day_minutes
	 93.67%	number_customer_service_calls
	 87.73%	international_plan
	 20.73%	total_eve_charge
	  8.97%	voice_mail_plan
	  8.01%	total_intl_calls
	  6.48%	total_intl_minutes
	  6.33%	total_night_minutes
	  4.74%	total_eve_minutes
	  0.57%	total_eve_calls
	  0.18%	account_length
	  0.18%	total_day_charge


Time: 0.1 secs

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