… Skill Statistic (TSS) under a variety of presence-background … ; 2) TSS quickly loses the
discriminatory power to differentiate … are misleading (such as those presented here), this is not …

… discrimination accuracy measures were misleading when … Summary of discrimination accuracy
(AUC, TSS, and Kappa) … to maximize discrimination accuracy are not necessarily optimal …

… is that they can be used without true absence data, which is … each other based on discrimination
metrics (AUC, TSS, Kappa)… poor discrimination accuracy on misleading occurrence data. …

… one metric would be misleading, since individual metrics often … In our study, it was shown
that AUC and TSS are higher in … it with other metrics that are computed differently and are not …

… by a weighted mean using TSS metrics of all single-models. … on performance when classic
discrimination metrics are used to … We however expect that these effects do not affect the …

… is that each band is not only sensitive to TSS but also to other … criterion to enhance
discrimination of water types II and III. … In addition to the above metrics, we will also include slope …

… discrimination result, so we used both weighted and unweighted implementations. For MARS,
we could not … available for predicting to, and evaluating against, supporting metrics such …

… Inaccurate environmental data might soon be a problem of … —in spite of their merits—ultimately
not included in this study to … we adapted for TSS based on the evaluation metrics’ ranges. …

… Simulations could be done assuming the opposite, which in SDM could … curves would
fluctuate below the positive diagonal of no discrimination instead of above it, and the results would …

… , all overall goodness-of-fit metrics (AUC, TSS, COR) were good with predictive accuracy Area
… , high AUC, TSS and COR scores were obtained but these results may be misleading and …