question about adaboost.

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.
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