| conf.matrix(mlr) | R Documentation |
conf.matrix generates the confusion matrix, see errormatrix.
conf.matrix(learn.task, resample.instance, resample.result, relative)
learn.task |
[learn.task] Specifies the learning task for the problem. |
resample.instance |
[resample.instance] Specifies the training and test indices of the resampled data. |
resample.result |
[resample.result] Result of resample.fit, i.e. the perfomed predictions. |
relative |
[logical] If TRUE rows are normalized to show relative frequencies. |
A confusion matrix.
data(iris)
ct <- make.classif.task("lda", data=iris, formula=Species~.)
rin <- make.cv.instance(size=nrow(iris), iters=10)
fit <- resample.fit(ct, resample.instance = rin)
conf.matrix(learn.task = ct, resample.instance = rin, resample.result = fit, relative = FALSE)