Table 1. Evaluation of model performance.
Metric | Value | ||
Training AUC | 0.976 | ||
Prensence-only data | MAXENT | ||
Test AUC | 0.949 | ||
Threshold- | AUC | 0.899* | |
independent | COR | 0.657* | |
Presence/absence data | True skill statistic (TSS) | 0.676 | |
Threshold- | Correct classification rate | 0.838 | |
dependent | Sensitivity | 0.838 | |
Specificity | 0.838 | ||
Cohen's Kappa | 0.784 |
Statistical metrics used to evaluate model performance by MAXENT (i.e. presence-only data) and with presence/absence test data.
Training AUC, area under the curve for the training data set; Test AUC, area under the curve for the test data set; COR, Pearson correlation coefficient.
*P<0.05.