evaluate the fuzzy system from a fit on some given data

N.B: just a S3 method method wrapping the evaluate_fuzzy_system() function

# S3 method for class 'fuzzycoco_fit'
evaluate(x, data, verbose = FALSE, ...)

Arguments

x

the fuzzycoco_fit object containing the fuzzy system to evaluate

data

the data to evaluate the fuzzy system on

verbose

whether to be verbose

...

not used. Only for S3 generic consistency

Value

the evaluation as a named list:

• fitness: the fitness value

• metrics: the evaluation metrics as a named list

Examples

model <- fuzzycoco("regression", example_mtcars()$params, seed = 123)
df <- mtcars[c("mpg", "hp", "wt", "qsec")]
fit <- fit(model, qsec ~ ., df, engine = "rcpp", seed = 456, max_generations = 20)

res <- evaluate(fit, df)
print(res$fitness)
#> [1] 0.3622534