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. 2012 Jul 5;7(7):e40212. doi: 10.1371/journal.pone.0040212

Figure 1. Accuracy of model forecasts.

Figure 1

The accuracy of forecasts generated by each modelling framework was measured by mean AUC and reported for each major taxonomic group. Error bars represent ±1 standard error of the mean. The dashed line indicates the rule-of-thumb for good predictions (AUC = 0.8). Abbreviations: ANN  =  artificial neural networks, CTA  =  classification tree analysis, GAM  =  generalised additive models, GBM  =  generalised boosted models, GLM  =  generalised linear models, MARS  =  Multivariate adaptive regression splines, MaxEnt  =  maximum entropy models, Mn(PA)  =  prediction mean from all presence-absence modelling frameworks, RF  =  random forests, SRE  =  surface range envelopes.