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Table 4 Lag-phase prediction results and Q 2 values of the PLS-2CV models shown in Table 3

From: Identifying inhibitory compounds in lignocellulosic biomass hydrolysates using an exometabolomics approach

PLS-2CV

Lag-phase

Prediction

Model 1

Model 2

Model 3

Model 4

Model 5

Model 6

Bag-CA

7.5

6.13

9.28

7.43

5.79

6.18

4.96

Bag-DA

6.0

3.36

5.24

4.61

6.79

4.95

5.53

Bag-MA

2.0

5.02

3.55

4.27

4.21

3.08

2.90

BS-CA

7.5

7.14

7.67

7.45

7.42

9.28

8.44

BS-DA

6.5

8.99

5.29

8.23

9.49

6.57

7.71

BS-PAA

3.0

3.61

4.12

3.82

3.86

4.67

3.86

CS-CA

10.5

11.71

9.44

10.91

10.32

10.61

11.33

CS-MA

6.5

−6.10

6.28

−1.36

4.40

6.66

6.25

Oak-CA

1.5

4.25

4.48

4.43

6.27

6.02

6.19

Oak-DA

5.0

4.42

5.70

4.74

6.16

5.94

5.81

Oak-MA

2.5

3.81

4.00

3.99

−3.28

2.00

−0.54

Oak-PAA

3.0

5.39

4.38

5.05

3.47

2.99

2.55

Willow-DA

7.5

6.83

8.95

7.61

5.19

6.70

6.68

Willow-PAA

5.5

3.61

6.08

4.36

7.12

2.19

4.51

WS-CA

9.0

7.93

8.17

8.00

6.95

6.86

6.18

WS-MA

6.5

6.58

2.01

3.97

4.38

7.95

7.59

Q2

 

−1.01

0.54

0.06

0.05

0.51

0.47

  1. Bold: models selected for analyzing the SR of the peaks in the data-sets.