We then formulate the planning model's objective function to determine the value contribution of different project roadmaps (Sect. 4.2).
Finally, we present the decision model's objective function for determining the value contribution of process variant profiles (Sect. 4.6).
As MUTICOM generates models by combining all the CASP8 server models, this clearly shows the value and contribution of our model combination algorithm, at least on the easy targets.
Therefore, models with the highest evidence make the largest contribution, while the contribution of models with weak evidence is minimized.
Therefore, models with the highest evidence make the largest contribution, whereas the contribution of models with weak evidence is minimized.
In the discussion section, the authors examine the value and unique contribution of the model and its potential as a tool to guide continuous learning about what works.
These values demonstrate the optimal contribution of each model in final predictions.
Although significant, the model only explains 6% of the variance (R2 = 0.06) and Figure 4 shows how the variables are the observed values and the poor contribution of the model.
In both cases, the value and contribution of QSARs is strengthened by the complementary use of different models.
The PCA ranking value for each switchgrass genotype was calculated using the formula: Ranking value = (contribution of PC1 × PC1) + (contribution of PC2 × PC2) + (contribution of PC3 × PC3) [ 44].
1. P-values for contribution of whole factor to the model; modified Wald test.
