Description

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

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

Author(s)

Robert J. Hijmans

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

evaluate