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Table 3 Results from indicator species analysis, species dominance, and random forest models for all classifications

From: Classifying forest inventory data into species-based forest community types at broad extents: exploring tradeoffs among supervised and unsupervised approaches

Region Classification Indicator species metrics Species dominance Random forest metrics
Sum of indicator vals.a Avg. of p-values Num. significant indicator vals.a Prop. classes without significant indicator vals. Mean of largest SDI (std. dev.) Kappa Avg. out-of-bag error
U.S. FIA 1.01 0.01 6.00 0 0.47 (0.17) 0.59 35.74%
  Empirical 1.21 0.05 3.76 0 0.61 (0.21) 0.74 22.80%
East USNVC 0.60 0.07 3.32 0 0.36 (0.16) 0.55 40.25%
  FIA 0.87 0.08 3.24 0.12 0.42 (0.17) 0.48 38.55%
  Empirical 0.88 0.19 1.35 0.24 0.59 (0.24) 0.64 24.90%
  1. aThe sum of indicator values and the number of significant indicator values reported here have been standardized by the number of classes in each classificationBold indicates the best value for each metric in each region