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. 2022 May 26;10(6):1247. doi: 10.3390/biomedicines10061247

Table 3.

Models in the systematic controllability variable reduction approach for nine and eight bone curvature region variables with their performance in predicting medial condyle cartilage volume loss at one year.

Ten Variables Model In1 In2 In3 In4 In5 In6 In7 In8 In9 In10 R RMSE MAE
M1 0.86 0.026 0.018
Combinations with nine variables M2 0.75 0.034 0.024
M3 0.81 0.030 0.021
M4 0.72 0.036 0.024
M5 0.77 0.033 0.023
M6 0.75 0.034 0.024
M7 0.78 0.033 0.024
M8 0.80 0.031 0.022
M9 0.80 0.031 0.022
M10 0.78 0.032 0.023
M11 0.85 0.028 0.019
Input combinations with eight variables M12 0.77 0.033 0.023
M13 0.81 0.030 0.022
M14 0.79 0.031 0.022
M15 0.76 0.034 0.024
M16 0.76 0.034 0.025
M17 0.73 0.035 0.026
M18 0.76 0.033 0.023
M19 0.72 0.036 0.026
M20 0.86 0.026 0.018
M21 0.81 0.031 0.021
M22 0.73 0.036 0.025
M23 0.79 0.032 0.022
M24 0.83 0.029 0.020
M25 0.81 0.030 0.021
M26 0.76 0.034 0.024
M27 0.83 0.029 0.021
M28 0.85 0.028 0.019
M29 0.76 0.033 0.025
M30 0.77 0.033 0.023
M31 0.77 0.033 0.024
M32 0.80 0.031 0.022
M33 0.77 0.033 0.024
M34 0.70 0.037 0.028
M35 0.80 0.031 0.021
M36 0.76 0.034 0.025
M37 0.83 0.029 0.021
M38 0.82 0.030 0.021
M39 0.83 0.029 0.020
M40 0.82 0.030 0.021
M41 0.83 0.029 0.019
M42 0.77 0.033 0.024
M43 0.80 0.031 0.022
M44 0.79 0.032 0.023
M45 0.81 0.030 0.021
M46 0.82 0.030 0.021
M47 0.81 0.030 0.021
M48 0.77 0.033 0.024
M49 0.81 0.030 0.021
M50 0.83 0.029 0.020
M51 0.83 0.029 0.019
M52 0.82 0.030 0.022
M53 0.79 0.032 0.021
M54 0.83 0.029 0.020
M55 0.69 0.037 0.026

The symbol • indicates the presence of the bone curvature region variables in the model. In1, Age; In2, Body mass index; In3, Lateral trochlea; In4, Lateral central condyle; In5, Lateral posterior condyle; In6, Lateral tibial plateau; In7, Medial trochlea; In8, Medial central condyle; In9, Medial posterior condyle; In10, Medial tibial plateau. Model (M)1 includes all the ten bone curvature region variables; M2 to M11, nine variables, M12 to M55, eight variables. The horizontal bar indicates the separation between the variable combinations. R, correlation coefficient; RMSE, root mean square error; MAE, mean absolute error.