MachineShop (version 1.3.0)

confusion: Confusion Matrix

Description

Calculate confusion matrices of predicted and observed responses.

Usage

Confusion(...)
confusion(x, y = NULL, cutoff = 0.5, na.rm = TRUE, ...)

Arguments

...

named or unnamed confusion output to combine together with the Confusion constructor.

x

factor of observed responses or Resamples object of observed and predicted responses.

y

predicted responses.

cutoff

threshold above which binary factor probabilities are classified as events and below which survival probabilities are classified. If NULL, then binary 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.

Value

The return value is a ConfusionMatrix class object that inherits from table if x and y responses are specified or a ConfusionResamples object that inherits from list if x is a Resamples object.

See Also

response, predict, resample, plot, summary

Examples

# NOT RUN {
res <- resample(Species ~ ., data = iris, model = GBMModel)
(conf <- confusion(res))
plot(conf)

# }