evaluateModel: Evaluates the fitting score of a model object
In predomics/predomicspkg: Interpretable Prediction in Omics Data

evaluateModel

R Documentation

Evaluates the fitting score of a model object

Evaluates the fitting score of a model object.

evaluateModel(
  mod,
  X,
  y,
  clf,
  eval.all = FALSE,
  force.re.evaluation = FALSE,
  estim.feat.importance = FALSE,
  mode = "train"
)

`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
`eval.all:`	should the function evaluate all the scores (default:FALSE)
`force.re.evaluation:`	re-evaluate all the scores even if they exist (default:FALSE)
`estim.feat.importance:`	evaluate the importance in the model object (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