Skip to main content
. 2022 Mar 8;14(6):1074. doi: 10.3390/polym14061074

Table 3.

Outcomes of k-fold analysis.

K-Fold Decision Tree AdaBoost Random Forest
MAE MAPE RMSE R2 MAE MAPE RMSE R2 MAE MAPE RMSE R2
1 16.03 18.70 21.92 0.60 8.70 13.25 13.04 0.43 10.70 12.97 13.43 0.54
2 7.02 16.93 11.57 0.76 5.65 12.30 8.01 0.49 5.33 13.76 8.09 0.72
3 9.15 16.03 10.94 0.20 6.56 14.03 8.16 0.79 5.54 14.88 8.37 0.64
4 11.76 17.21 10.43 0.70 8.18 12.55 8.43 0.67 8.06 13.66 11.40 0.52
5 7.31 16.02 12.41 0.59 6.11 12.98 7.47 0.90 5.34 12.90 7.85 0.77
6 12.96 16.55 17.07 0.37 12.94 14.45 14.34 0.57 9.85 13.77 13.82 0.53
7 7.72 18.67 19.58 0.72 9.50 13.66 12.06 0.60 9.43 12.42 15.56 0.74
8 10.92 16.03 15.26 0.41 9.33 13.08 14.33 0.86 11.12 14.02 13.93 0.34
9 8.15 17.22 16.50 0.72 5.20 12.95 7.68 0.74 5.80 13.79 7.60 0.79
10 19.78 17.02 23.23 0.83 14.68 12.35 18.28 0.61 18.47 12.50 19.31 0.90