calculateAUC | 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

`evaluateRisk`

.

## 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)

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