An essential part of the QSAR modeling process is the interpretation of the model in terms of structural variations leading to corresponding changes in the biological activity.
The interpretation of the model is similar to that of ordinary Poisson regression, and when the modeler is familiar with ordinary regression analysis, the transition to DGLM is straightforward.
In addition to the prediction capability, the modeling approach facilitates an incremental understanding of the domain area through interpretation of the model parameters.
It assumes expert knowledge about the target activity/property (e.g. giving a scientifically plausible interpretation of the model) and solid understanding of statistical modeling (e.g. choosing appropriate statistical modeling technique).
X.J. performed the simulations and led the interpretation of the model results.
As already mentioned, the interpretation of the model should be cautious because of its poor performance.
The intelligent possibilities and problems of real-time interpretation of the model are considered.
An alternative interpretation of the model is to perform single-material design for additive manufacturing.
Further, no trend variables were collinear, making interpretation of the model with drivers of woody cover change (i.e. Fig. 3) simpler.
Since, however, the fODF is represented by spherical harmonics, a direct interpretation of the model parameters is impossible.
The novel linearized constitutive relation simplifies the determination of material constants by reducing the nonlinearity and provides a clearer physical interpretation of the model parameters.
