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. 2016 Nov 3;38(2):997–1008. doi: 10.1002/hbm.23434

Table 4.

Mean absolute prediction errors broken down for the six different prediction techniques, the nine different anatomical feature sets, and three age‐groups

Methods MLR RR NN KNN SVM RF
Datasets Age M SD M SD M SD M SD M SD M SD
Area 8–18 1.99 1.69 2.48 1.97 2.07 1.46 2.07 1.47 1.78 1.61 1.43 1.21
18–65 8.38 6.50 10.23 9.40 8.14 6.94 9.76 7.36 8.68 8.56 6.61 6.47
65–96 10.62 8.34 14.64 12.85 9.77 9.26 12.48 8.88 11.45 9.75 8.17 7.81
Thickness 8–18 1.67 1.62 2.32 1.72 1.48 1.21 1.98 1.62 1.59 1.27 1.34 1.22
18–65 7.74 6.01 11.30 7.22 7.06 6.18 8.20 7.91 8.42 8.74 5.99 6.20
65–96 9.64 7.27 14.91 10.99 8.46 7.26 10.59 9.80 11.45 10.62 7.90 7.76
Volume 8–18 1.88 1.93 2.58 2.14 1.57 1.29 1.57 1.26 1.38 1.37 1.15 1.08
18–65 7.45 5.81 10.16 9.09 7.03 6.30 8.01 6.24 7.48 7.36 5.43 5.48
65–96 9.40 7.12 14.01 13.45 8.28 7.42 8.57 7.73 9.98 8.21 6.21 6.99
Area+ 8–18 1.63 1.63 2.31 1.66 1.78 1.42 1.96 1.43 1.43 1.23 1.08 1.06
18–65 6.16 4.85 10.39 7.95 5.52 4.97 8.83 6.77 6.71 7.06 4.69 5.15
65–96 7.41 5.53 14.82 10.74 17.06 10.98 10.75 8.09 8.94 8.02 4.93 5.56
Thickness+ 8–18 1.29 1.28 2.31 1.66 1.46 1.13 1.92 1.60 1.33 1.11 1.09 1.05
18–65 5.82 4.77 10.22 7.81 5.08 4.67 6.97 6.92 6.58 7.03 4.35 4.90
65–96 6.97 5.62 14.23 11.56 9.95 15.28 8.81 8.17 8.90 8.30 4.90 5.72
Volume+ 8–18 1.59 1.70 2.50 2.07 1.23 1.17 1.54 1.29 1.24 1.22 1.12 1.08
18–65 6.07 5.03 9.78 8.97 5.02 4.84 6.96 6.18 6.49 6.65 4.53 5.17
65–96 7.36 5.86 13.98 12.73 5.90 5.27 8.00 7.06 8.66 7.18 4.96 5.65
11 LBR 8–18 1.47 1.06 2.37 1.68 1.44 1.21 1.65 1.27 1.68 1.26 1.11 1.01
18–65 6.98 5.56 10.03 8.72 5.55 5.58 6.20 6.11 7.54 8.20 4.70 5.20
65–96 8.58 6.34 14.29 12.52 6.21 6.38 6.81 6.63 10.79 10.81 5.08 5.49
All 8–18 2.84 4.16 9.53 2.69 1.23 1.02 1.55 1.27 0.99 1.03 1.02 0.96
18–65 5.03 4.25 14.57 12.35 4.50 4.22 6.23 5.71 5.15 4.72 4.18 4.63
65–96 5.59 4.94 26.46 17.88 4.97 4.64 6.84 6.21 6.01 5.06 4.54 5.16
All+ 8–18 5.48 7.94 2.26 1.65 1.42 1.57 1.62 1.32 1.14 1.16 1.11 1.00
18–65 5.33 4.40 9.68 8.73 4.35 4.90 7.09 6.02 5.65 5.34 4.49 4.88
65–96 6.10 4.95 13.94 12.00 5.35 5.05 8.10 7.08 7.04 5.93 4.84 5.65