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Table 2 Confusion matrix showing number of correct and incorrect classifications per city from random forest analysis

From: Application of machine learning techniques for creating urban microbial fingerprints

  Auckland Hamilton NY Ofa Porto Sacramento Santiago Tokyo class.error
Auckland 9 5 0 0 1 0 0 0 0.4
Hamilton 4 12 0 0 0 0 0 0 0.25
NY 0 0 124 1 0 1 0 0 0.01587302
Ofa 0 0 0 20 0 0 0 0 0
Porto 0 0 0 0 60 0 0 0 0
Sacramento 0 0 0 0 1 33 0 0 0.02941176
Santiago 1 0 1 0 0 0 18 0 0.1
Tokyo 0 0 0 0 0 0 0 20 0