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. 2021 Feb 20;49(8):2052–2063. doi: 10.1080/02664763.2021.1889997

Table 2.

The average classification errors (%) and standard errors (in parentheses) from 500 monte carlo repetitions for three simulation 1 designs.

Model Method Logistic regression SVM (Linear) SVM (Gaussian) LDA QDA Naive Bayes
(A) Single 17.09 (5.34) 16.85 (5.13) 15.43 (4.86) 16.73 (5.36) 15.47 (4.95) 16.90 (4.74)
  Majority vote 15.15 (4.45) 15.19 (4.37) 13.37 (4.33) 15.10 (4.42) 14.20 (4.16) 15.70 (4.38)
  OOB weight 14.96 (4.36) 14.88 (4.18) 13.10 (4.11) 14.73 (4.31) 13.63 (4.00) 15.03 (4.23)
(B) Single 11.29 (3.58) 11.07 (3.55) 11.61 (4.04) 10.68 (3.45) 12.04 (3.83) 13.40 (4.07)
  Majority vote 10.21 (3.40) 10.17 (3.22) 10.63 (3.59) 9.95 (3.26) 10.94 (3.48) 11.99 (3.64)
  OOB weight 10.19 (3.34) 10.05 (3.17) 10.54 (3.53) 9.91 (3.22) 10.79 (3.46) 11.74 (3.59)
(C) Single 50.67 (5.91) 49.62 (5.41) 32.92 (5.57) 50.70 (5.92) 31.57 (4.70) 30.57 (4.79)
  Majority vote 49.91 (5.96) 48.79 (6.03) 31.11 (5.62) 49.82 (6.00) 30.86 (4.99) 29.74 (4.77)
  OOB weight 49.62 (6.01) 48.80 (5.95) 31.04 (5.51) 49.63 (6.03) 30.73 (4.95) 29.69 (4.71)

Note: The minimum error rate is marked in bold.