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Ten “best” models selected in the process of model calibration and evaluation, showing predictor variables; “^2” indicates quadratic terms in a model.

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https://figshare.com/articles/dataset/Ten_best_models_selected_in_the_process_of_model_calibration_and_evaluation_showing_predictor_variables_2_indicates_quadratic_terms_in_a_model_/27320251
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Values for AUC, sensitivity, specificity, and TSS are averages deriving from the 10 k-fold evaluation process. Threshold indicates the value used to test model sensitivity and specificity. AUC = area under the receiver operative characteristic curve; TSS = true skill statistic; AIC = Akaike information criterion; Δ AIC = delta AIC; AIC γ = AIC weight.
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2024-10-28
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