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Table 1 Overview of MaxEnt models

From: Do Marmorkrebs, Procambarus fallax f. virginalis, threaten freshwater Japanese ecosystems?

Trained on Sample size beta Threshold Parameters AICc score Training AUC Test AUC (30%)
Procambarus fallax 37 1.0 MTSPS = 0.284 12 874.2029424 0.9773  
Procambarus fallax 37 1.5 MTP = 0.284 12 903.8337866 0.9764 0.9766 (0.0043)
Marmorkrebs populations 23 1.0 MTSPS = 0.033 22 not applicable 0.9844  
Marmorkrebs populations 23 1.5 MTP = 0.014 18 760.5960693 0.9813 0.9823 (0.0146)
Marmorkrebs populations and Sapporo individual 24 1.0 MTSPS = 0.045 26 not applicable 0.9869  
Marmorkrebs populations and Sapporo individual 24 1.5 MTP = 0.030 23 not applicable 0.9836 0.9723 (0.0212)
P. fallax and Marmorkrebs populations 58 1.0 MTSPS = 0.328 39 1829.92309 0.9673  
P. fallax and Marmorkrebs populations 58 1.5 MTP = 0.027 27 1660.981878 0.9623 0.9595 (0.0119)
P. fallax, Marmorkrebs populations, and Sapporo individual 59 1.0 MTSPS = 0.321 37 1882.800434 0.9640  
P. fallax, Marmorkrebs populations, and Sapporo individual 59 1.5 MTP = 0.020 24 1722.570932 0.9586 0.9537 (0.0148)
  1. Training AUC is the AUC obtained in the 1-replicate run used for model selection and MESS generation. Test AUC is the average AUC (and standard deviation) obtained in 10 runs that used a 30% of the presence points to calculate this statistic; only models considered superior based on reduced complexity without training AUC reduction were projected and test AUC calculated. MTSPS – minimum training sensibility plus specificity; MTP – minimum training presence; not applicable – AICc cannot be calculated if the model have more parameters than occurrence points [29].