performanceMeasure {dcanr} | R Documentation |
Quantify the performance of a classification algorithm. Predictions and truth both have to be binary.
performanceMeasure(pred, obs, perf.method = "f.measure", ...)
pred |
a logical or numeric, where 0 and FALSE represent control, and, 1 and TRUE represent cases |
obs |
a logical or numeric, where 0 and FALSE represent control, and, 1 and TRUE represent cases |
perf.method |
a character, specifying the method to use. Available
methods can be accessed using |
... |
additional parameters to methods. see details |
The F-measure requires the beta parameter which can be specified
using f.beta
which defaults to 1 thereby computing the F1-measure.
a numeric, representing the performance
pred <- sample(0:1, 100, replace = TRUE, prob = c(0.75, 0.25)) obs <- sample(0:1, 100, replace = TRUE, prob = c(0.75, 0.25)) #compute the F1 and F2 scores f1 <- performanceMeasure(pred, obs) f2 <- performanceMeasure(pred, obs, f.beta = 2)