[R] C50 Node Assignment

[Max Kuhn]

There is a sub-object called 'rules' that has the output of C5.0 for this model:

> library(C50)
> mod <- C5.0(Species ~ ., data = iris, rules = TRUE)
> cat(mod$rules)
id="See5/C5.0 2.07 GPL Edition 2013-11-09"
entries="1"
rules="4" default="setosa"
conds="1" cover="50" ok="50" lift="2.94231" class="setosa"
type="2" att="Petal.Length" cut="1.9" result="<"
conds="3" cover="48" ok="47" lift="2.88" class="versicolor"
type="2" att="Petal.Length" cut="1.9" result=">"
type="2" att="Petal.Length" cut="4.9000001" result="<"
type="2" att="Petal.Width" cut="1.7" result="<"
conds="1" cover="46" ok="45" lift="2.875" class="virginica"
type="2" att="Petal.Width" cut="1.7" result=">"
conds="1" cover="46" ok="44" lift="2.8125" class="virginica"
type="2" att="Petal.Length" cut="4.9000001" result=">"

You would either have to parse this or parse the summary results:

> summary(mod)

Call:
C5.0.formula(formula = Species ~ ., data = iris, rules = TRUE)

<snip>
Rules:

Rule 1: (50, lift 2.9)
Petal.Length <= 1.9
->  class setosa  [0.981]

Rule 2: (48/1, lift 2.9)
Petal.Length > 1.9
Petal.Length <= 4.9
Petal.Width <= 1.7
->  class versicolor  [0.960]
<snip>

Max

On Sat, Nov 9, 2013 at 1:11 PM, Carl Witthoft <carl at witthoft.com> wrote:
>
> Just to clarify:  I'm guessing the OP is referring to the CRAN package C50
> here.   A quick skim suggests the rules are a list element of a C5.0-class
> object, so maybe that's where to start?
>
>
> David Winsemius wrote
>> In my role as a moderator I am attempting to bypass the automatic mail
>> filters that are blocking this posting. Please reply to the list and to:
>> =========================
>> Kevin Shaney <
>
>> kevin.shaney@
>
>> >
>>
>> C50 Node Assignment
>>
>> I am using C50 to classify individuals into 5 groups / categories (factor
>> variable).  The tree / set of rules has 10 rules for classification.  I am
>> trying to extract the RULE for which each individual qualifies (a number
>> between 1 and 10), and cannot figure out how to do so.  I can extract the
>> predicted group and predicted group probability, but not the RULE to which
>> an individual qualifies.  Please let me know if you can help!
>>
>> Kevin
>> =========================
>>
>>
>> --
>> David Winsemius
>> Alameda, CA, USA
>>
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-- 

Max