Confusion Matrix
Calculate confusion matrices of predicted and observed responses.
confusion(
x,
y = NULL,
cutoff = MachineShop::settings("cutoff"),
na.rm = TRUE,
...
)
ConfusionMatrix(data = NA, ordered = FALSE)x |
factor of observed responses or resample result containing observed and predicted responses. |
y |
predicted responses if not contained in |
cutoff |
numeric (0, 1) threshold above which binary factor
probabilities are classified as events and below which survival
probabilities are classified. If |
na.rm |
logical indicating whether to remove observed or predicted
responses that are |
... |
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. |
The return value is a ConfusionMatrix class object that inherits from
table if x and y responses are specified or a
ConfusionList object that inherits from list if x is a
Resamples object.
## Requires prior installation of suggested package gbm to run res <- resample(Species ~ ., data = iris, model = GBMModel) (conf <- confusion(res)) plot(conf)
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