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?
______________________________________________
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.
