Message-ID: <A5F151CC87E349D7A0D4664926E02650@cecyroPC>
Date: 2009-04-28T14:48:03Z
From: Cecilia Lezama
Subject: question about adaboost.
In-Reply-To: <49F6F9D0.2060103@statistik.tu-dortmund.de>
Thanks for your quickly answer. I feel embarrassed but I didn't understand
it.
1 - diag(table) / sum(table) Which diagonal? Both of them?
Could you explain it to me with a practical example?
CONFUSION MATRIX
Observed Class
Predicted Class A P
A 138 9
P 1 2
PROBABILITY CONFUSION MATRIX
Observed Class
Predicted Class A P
A 0.920000000 0.060000000
P 0.006666667 0.013333333
Many, many thanks!
----- Original Message -----
From: "Uwe Ligges" <ligges at statistik.tu-dortmund.de>
To: "Cecilia Lezama" <checha at netgate.com.uy>
Cc: <r-help at r-project.org>
Sent: Tuesday, April 28, 2009 9:42 AM
Subject: Re: [R] question about adaboost.
>
>
> Cecilia Lezama wrote:
>> Hello,
>> I would like to know how to obtain the misclassification error when
>> performing a boosting analisis with ADABAG package?
>> With:
>>> prop.table(Tesis.boostcv$confusion)
>>
>> I obtain the confusion matrix, but not the overall missclassification
>> error.
>
> Well, the misclassification error is
>
> 1 - diag(table) / sum(table)
>
> Uwe Ligges
>
>
>
>> Thanks in advance,
>>
>>
>> BSc. Cecilia Lezama
>> Facultad de Ciencias - UDELAR
>> Montevideo - Uruguay.
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>