Skip to main content
. Author manuscript; available in PMC: 2024 Apr 1.
Published in final edited form as: J Am Stat Assoc. 2022 Jun 27;118(544):2684–2697. doi: 10.1080/01621459.2022.2071278

Table 1.

The average test error rate (in percentage) of various methods with different targets among 500 replications. The cutoff for all binary classification methods is set to be 1/2. Numbers in the subscript indicate the standard deviations.

Methods Target
states
AR GA IL MI MN MS NC VA
naïve-Lasso 4.793.36 6.983.90 5.734.14 11.492.44 12.462.70 7.536.57 15.606.73 9.484.88
Pooled-Lasso 3.594.71 9.984.22 7.895.56 7.045.80 10.38 5.18 22.017.18 12.735.35 21.445.46
Pooled-Trans-GLM 1.83 3.12 4.86 3.60 2.52 3.55 5.62 4.54 10.755.60 7.23 6.65 9.71 5.75 7.15 4.23
Trans-GLM 1.54 2.94 4.74 3.54 2.51 3.45 5.53 4.73 10.34 5.73 7.246.81 9.34 5.57 7.18 4.67
SVM 6.711.70 17.093.89 7.005.40 12.591.87 13.292.29 23.928.90 12.666.86 10.785.29
Pooled-SVM 7.846.32 13.474.73 7.755.24 7.586.40 13.015.69 27.328.72 12.305.75 17.315.46
Tree 2.23 3.58 8.374.40 4.625.27 10.055.53 10.978.42 5.97 5.26 18.298.01 14.466.88
Pooled-Tree 7.816.89 7.684.59 4.634.26 7.426.18 10.535.91 16.737.30 14.767.26 17.435.85
RF 3.603.57 6.043.59 4.083.98 6.424.79 10.51 5.10 7.275.72 11.296.29 7.734.77
Pooled-RF 3.734.82 7.493.90 4.353.63 5.34 4.99 10.864.96 12.566.88 11.046.03 10.405.18
Boosting 2.233.58 4.65 3.77 2.55 3.82 7.795.52 10.646.51 5.28 5.16 10.886.47 7.53 5.10
Pooled-Boosting 3.104.84 5.713.53 3.823.85 5.815.27 11.215.13 14.317.42 10.82 5.99 11.955.25