
Evaluates the fitting score of a model object
evaluateFit.Rd
Evaluates the fitting score of a model object.
Arguments
- mod
: a model object
- X:
the data matrix with variables in the rows and observations in the columns
- y:
the response vector
- clf:
the classifier parameter object
- force.re.evaluation:
re-evaluate all the scores even if they exist (default:FALSE)
- mode:
A choice from c("train", "test") indicates wether we wish to learn the threthold of the model (default:"train") or not "test" for the c("terinter","bininter","ratio") languages