Table 2 Model validation metrics including model OOB error, sensitivity, specificity, Kappa, TSS, AUC, and significance (P), for sloth bear model
From: Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales
Performance matrix | Value |
|---|---|
Accuracy (PCC) | 97.41% |
Sensitivity | 0.98a |
Specificity | 0.96a |
Cohen’s Kappa | 0.94 |
True skill statistic (TSS) | 0.94 |
Area under curve (AUC) | 0.97b |
Cross-validation Kappa | 0.94 |
Cross-validation OBB error rate | 0.03 |
Cross-validation error variance | 2E.05 |
P value | 0.001 |