Represents the effect of summarizing a CrossValidate-class object
by computing the performance of predictions on each split into
training and test sets.
Arguments
Objects from the Class
Objects are almost always created automatically by applying the
summary method to an object of the
CrossValidate-class.
Slots
call:
A "call" object recoding how the summary
method was invoked.
parent:
A character vector containing the name of the
CrossValidate object being summarized.
trainAcc:
A "list" containing five numeric
vectors: the sensitivity, specificity, accuracy, PPV, and NPV on
each training data set.
validAcc:
A "list" containing five numeric
vectors: the sensitivity, specificity, accuracy, PPV, and NPV on
each test data set.
Methods
show
signature(object = "CrossValSummary"): Summarizes
the algorithm performance.