# ModelEvaluation

##### Class "ModelEvaluation"

Class to store results of model cross-validation with presence/absence (0/1) data

- Keywords
- classes

##### Slots

`presence`

:presence data used

`absence`

:absence data used

`np`

:number of presence points

`na`

:number of absence points

`auc`

:Area under the receiver operator (ROC) curve

`pauc`

:p-value for the AUC (for the Wilcoxon test W statistic

`cor`

:Correlation coefficient

`pcor`

:p-value for correlation coefficient

`t`

:vector of thresholds used to compute confusion matrices

`confusion`

:confusion matrices

`prevalence`

:Prevalence

`ODP`

:Overall diagnostic power

`CCR`

:Correct classification rate

`TPR`

:True positive rate

`TNR`

:True negative rate

`FPR`

:False positive rate

`FNR`

:False negative rate

`PPP`

:Positive predictive power

`NPP`

:Negative predictive power

`MCR`

:Misclassification rate

`OR`

:Odds-ratio

`kappa`

:Cohen's kappa

##### References

Fielding, A. H. & J.F. Bell, 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24: 38-49

Liu, C., M. White & G. Newell, 2011. Measuring and comparing the accuracy of species distribution models with presence-absence data. Ecography 34: 232-243.

##### See Also

*Documentation reproduced from package dismo, version 1.3-3, License: GPL (>= 3)*