accuracy: Prediction Accuracy from Stability Assessment Results
Description
Function to compute the prediction accuracy from an object
of class "stablelearner" or "stablelearnerList" as a parallel
to the similarity values estimated by stability in each
iteration of the stability assessment procedure.
an object of class "stablelearner" or
"stablelearnerList".
measure
a character string (or a vector of character strings).
Name(s) of the measure(s) used to compute accuracy. Currently implemented
measures are "diag" = percentage of observations on the main diagonal
of a confusion matrix, "kappa" = "diag" corrected for agreement
by chance (default), "rand" = Rand index, and "crand" =
Rand index corrected for agreemend by chance
(see also classAgreement).
na.action
a function which indicates what should happen to the predictions
of the results containing NAs. The default function is
na.exclude.
applyfun
a lapply-like function. The default is to use
lapply unless cores is specified in which case
mclapply is used (for multicore computations on platforms
that support these).
cores
integer. The number of cores to use in multicore computations
using mclapply (see above).
Value
A matrix of size 2*B times length(measure) containing prediction
accuracy values of the learners trained during the stability assessment procedure.
Details
This function can be used to compute prediction accuracy after the stability was
estimated using stability.