R help - Jun 2008 - Extract naiveBayes details

Hey,

I just like to know how to extract details from the naiveBayes model
(package e1071). I mean, for each possible value the model defines how much
it influences the outcome. I want to sort those probabilities and show the
values with the highest impact.
How could I do that?

PS: I tried using []'s to get to the model's internals, however, all I
get
is a "list" not a "matrix" I could work with. What am I
doing wrong?

Cheers,
Stephan
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Stephan:

the Naive Bayes model consists of several tables, one for each 
(categorical) predictor. Using

m = naiveBayes( ... )
m$tables

you will get (as the help page says):

tables: A list of tables, one for each predictor variable. For each
           categorical variable a table giving, for each attribute
           level, the conditional probabilities given the target class.

Best
David


----------------------------

I just like to know how to extract details from the naiveBayes model
(package e1071). I mean, for each possible value the model defines how much
it influences the outcome. I want to sort those probabilities and show the
values with the highest impact.
How could I do that?

PS: I tried using []'s to get to the model's internals, however, all I
get
is a "list" not a "matrix" I could work with. What am I
doing wrong?