|
2nd-round models
|
K-fold cross-validation (average values fork = 5)
|
Experimental validation sets
|
Average scale
|
---|
Training models
|
Test sets
|
---|
R2
|
R2adj.
|
MAEF
|
RMSEF
|
R2
|
R2adj.
|
MAEF
|
RMSEF
|
MAECV
|
RMSECV
|
MAEEV
|
RMSEEV
|
---|
CR
|
0.81
|
0.78
|
2.2
|
2.9
|
0.81
|
0.79
|
2.2
|
2.8
|
2.6
|
3.1
|
1.9
|
2.2
|
7.4
|
MA
CYT
|
0.64
|
0.61
|
2.7
|
3.5
|
0.66
|
0.62
|
2.6
|
3.5
|
3.2
|
3.9
|
1.7
|
2.1
|
7.5
|
MA
ALT
|
0.64
|
0.59
|
2.2
|
3.0
|
0.65
|
0.59
|
2.1
|
3.0
|
2.7
|
3.2
|
1.8
|
1.9
|
6.8
|
ΦPSII
800
|
0.66
|
0.65
|
0.053
|
0.068
|
0.65
|
0.64
|
0.053
|
0.068
|
0.054
|
0.067
|
0.068
|
0.078
|
0.201
|
NPQ
800
|
0.48
|
0.41
|
0.062
|
0.084
|
0.50
|
0.41
|
0.061
|
0.083
|
0.076
|
0.093
|
0.039
|
0.044
|
0.205
|
P
800
|
0.60
|
0.54
|
13.6
|
19.6
|
0.60
|
0.54
|
13.4
|
19.6
|
18.4
|
23.7
|
17.3
|
23.4
|
43.9
|
- Cross-validation was performed by the k-fold method with k = 5; the R2, R2 adjusted, MAE and RMSE presented for the training models (“F”) and the test data sets (“CV”) are the average values compiling the 5 iterations. For each response, the average scale (i.e. the difference between the mean and minimal experimental values of the DOE study) is also provided as a reference to assess the importance of the deviations. R2 adj., R2 adjusted.