Extremal Dependence Indices: Improved Verification Measures for Deterministic Forecasts of Rare Binary Events

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The area under the precision‐recall curve as a performance metric for rare binary events (2019, background): “While AUC- ROC is mathematically independent of prevalence (Ferro & Stephenson, 2011; Jiménez- Valverde, 2014; Lawson et al., 2014), in practice it is related to prevalence in presence–absence datasets (reviewed in Santika, 2011).”
Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models (2019, methodology): “SEDI featured greatly reduced sensitivity to prevalence, while retaining most beneficial properties of its predecessors (Ferro and Stephenson 2011).”