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Table 4 SPCA models’ R2, \(R_{a}^{2}\), \(\lambda\), RMSE, and MAE values.

From: Prediction of Stress Increase at Ultimate in Unbonded Tendons Using Sparse Principal Component Analysis

Variables Internal data External data
\(R^{2}\) \(R_{a}^{2}\) \(\lambda\) RMSE MAE \(R^{2}\) \(R_{a}^{2}\) \(\lambda\) RMSE MAE
All variables 0.46 0.46 0.99 107.93 85.83 0.70 0.69 0.99 152.79 110.93
Cont. and Cate. 0.44 0.43 1.02 109.72 88.58 0.70 0.69 0.99 152.79 110.93
Self-Selected 0.31 0.30 0.95 121.96 101.16 0.54 0.52 1.05 189.29 151.38
Corr. Cutoff 0.54 0.53 1.03 99.53 78.04 0.68 0.68 1.00 156.88 113.58