Cecilia Lezama wrote:
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?
Whoops, this meant to be
1 - sum(diag(table)) / sum(table)
i.e. 1 - (138+2)/(138+2+9+1)
Uwe Ligges
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"
<lig...@statistik.tu-dortmund.de>
To: "Cecilia Lezama" <che...@netgate.com.uy>
Cc: <r-help@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]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
