Classification results for binary outcome — binary_classification_result • rMVPA

Constructs a binary classification result object based on the observed and predicted values, as well as other optional parameters.

Usage

binary_classification_result(
  observed,
  predicted,
  probs,
  testind = NULL,
  test_design = NULL,
  predictor = NULL
)

Arguments

observed: A vector of observed or true values.
predicted: A vector of predicted values.
probs: A matrix of predicted probabilities, with one column per level.
testind: The row indices of the test observations (optional).
test_design: An optional design for the test data.
predictor: An optional predictor object.

Value

A binary classification result object, with the class attribute set to "binary_classification_result".

See also

Other classification_result: classification_result(), multiway_classification_result(), regression_result()