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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