- x
factor of observed responses or resample
result containing observed and predicted responses.
- y
predicted responses if not contained in x
.
- weights
numeric vector of non-negative
case weights for the observed x
responses
[default: equal weights].
- cutoff
numeric (0, 1) threshold above which binary factor
probabilities are classified as events and below which survival
probabilities are classified. If NULL
, then factor responses are
summed directly over predicted class probabilities, whereas a default
cutoff of 0.5 is used for survival probabilities. Class probability
summations and survival will appear as decimal numbers that can be
interpreted as expected counts.
- na.rm
logical indicating whether to remove observed or predicted
responses that are NA
when calculating metrics.
- ...
arguments passed to other methods.
- data
square matrix, or object that can be converted to one, of
cross-classified predicted and observed values in the rows and columns,
respectively.
- ordered
logical indicating whether the confusion matrix row and
columns should be regarded as ordered.