evaluateAccuracy: Evaluates the accuracy of a model

In predomics/predomicspkg: Interpretable Prediction in Omics Data

Evaluates the accuracy of a model

Description

This function evaluates the accuracy of either (1) a model object that contains intercept and sign or (2) directly the attributes score, intercept, sign

Usage

evaluateAccuracy(
  mod = NULL,
  X,
  y,
  clf,
  force.re.evaluation = FALSE,
  mode = "train"
)

Arguments

mod:	a model object to be used in the class prediction
X:	dataset to classify
y:	variable to predict
clf:	an object containing the different parameters of the classifier
force.re.evaluation:	evaluate again all the elements needed for accuracy (default:FALSE)
mode:	training or test mode. If training, the funciton maximizes accuracy.

Value

either (1) a model whose evaluation parameters are updated or (2) the accuracy

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.