Description Usage Arguments Details Author(s) References See Also Examples

Precision/recall (PR) curves are visual representations of the performance of a classification model in terms of the precision and recall statistics. The curves are obtained by proper interpolation of the values of the statistics at different working points. These working points can be given by different cut-off limits on a ranking of the class of interest provided by the model.

1 |

`preds` |
A vector containing the predictions of the model. |

`trues` |
A vector containing the
true values of the class label. Must have the same dimension as |

`...` |
Further parameters that are passed to the |

This function uses the infra-structure provided by the `ROCR`

package (Sing et al., 2009). This package allows us to obtain several
measures of the predictive performance of models. We use it to obtain
the precision and recall of the predictions of a model. We then
calculate the interpolated precision to avoid the saw-tooth effect
that we would get with the standard plots produced by the ROCR
package. The interpolated precision for a value r of recall is the the
highest precision value for any recall level greather or equal to r.

Luis Torgo ltorgo@dcc.fc.up.pt

Sing, T., Sander, O., Beerenwinkel, N., and Lengauer, T. (2009). *ROCR:
Visualizing the performance of scoring classifiers*. R package version 1.0-4.

Torgo, L. (2010) *Data Mining using R: learning with case studies*,
CRC Press (ISBN: 9781439810187).

http://www.dcc.fc.up.pt/~ltorgo/DataMiningWithR

`prediction`

, `performance`

, `CRchart`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
## A simple example with data in package ROCR
library(ROCR)
data(ROCR.simple)
pred <- prediction(ROCR.simple$predictions,ROCR.simple$labels)
perf <- performance(pred,"prec","rec")
## The plot obtained with the standard ROCR functions
## Not run:
plot(perf)
## End(Not run)
## Now our Precision/Recall curve avoiding the saw-tooth effect
## Not run:
PRcurve(ROCR.simple$predictions,ROCR.simple$labels)
## End(Not run)
``` |

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