calculateAUC {rattle} | R Documentation |
Given the evaluation returned by evaluateRisk, for example, calculate the area under the risk or recall curves, to use as a metric to compare the performance of a model.
calculateAUC(x, y)
x |
a vector of values for the x points. |
y |
a vector of values for the y points. |
The area is returned.
Package home page: https://rattle.togaware.com
## this is usually used in the context of the evaluateRisk function
## Not run: ev <- evaluateRisk(predicted, actual, risk)
## imitate this output here
ev <- data.frame(Caseload=c(1.0, 0.8, 0.6, 0.4, 0.2, 0),
Precision=c(0.15, 0.18, 0.21, 0.25, 0.28, 0.30),
Recall=c(1.0, 0.95, 0.80, 0.75, 0.5, 0.0),
Risk=c(1.0, 0.98, 0.90, 0.77, 0.30, 0.0))
## Calculate the areas unde the Risk and the Recall curves.
calculateAUC(ev$Caseload, ev$Risk)
calculateAUC(ev$Caseload, ev$Recall)