Summary method for the nb function

Summary method for the nb function

# S3 method for nb
summary(object, dec = 3, ...)

Arguments

object	Return value from nb
dec	Decimals
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/nb.html for an example in Radiant

See also

nb to generate results

plot.nb to plot results

predict.nb for prediction

Examples

result <- nb(titanic, "survived", c("pclass", "sex", "age"))
summary(result)
#> Naive Bayes Classifier
#> Data                 : titanic
#> Response variable    : survived
#> Levels               : Yes, No in survived
#> Explanatory variables: pclass, sex, age
#> Laplace              : 0
#> Nr obs               : 1,043 
#> 
#> A-priori probabilities:
#> survived
#>   Yes    No 
#> 0.407 0.593 
#> 
#> Conditional probabilities (categorical) or means & st.dev (numeric):
#>         pclass
#> survived   1st   2nd   3rd
#>      Yes 0.421 0.271 0.308
#>      No  0.167 0.236 0.597
#> 
#>         sex
#> survived female  male
#>      Yes  0.682 0.318
#>      No   0.155 0.845
#> 
#>         age
#> survived   mean st.dev
#>      Yes 28.819 15.004
#>      No  30.497 13.881
#>