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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
  1. aSupplemental Figure 2
  2. bSupplemental Figure 3