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Table 2 PCA 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

0.43

0.43

1.00

110.56

87.38

0.64

0.63

1.01

166.91

128.16

Cont. and Cate.

0.36

0.35

1.02

117.38

95.88

0.66

0.65

1.02

162.08

124.60

Self-Selected

0.26

0.25

1.04

126.34

103.43

0.49

0.48

1.04

198.51

160.44

Corr. Cutoff

0.52

0.50

0.99

102.36

81.09

0.67

0.66

1.01

160.93

123.49