The simulation results assist in the model interpretation.
This paper outlines model calibration results and model interpretation.
For these reasons, SO was considered to be the most robust model interpretation.
Some fast observations useful for the model interpretation follow by simple inspection of (5.1)–(5.4) and (5.10).
There is a one-to-one mapping between the bits and molecule features ideal for our mining and model interpretation.
The specific derivation is given by Muller et al. [26] in the section of the JKR model interpretation.
Important to the discussion are the issues of classification performance, model interpretation, and validation in the context of fMRI.
In this paper description of the proposed model, interpretation of the parameters and the optimisation procedure are presented.
Such relations may be stated as follows: Relatedly, Weisberg (2013) draws upon Tversky (1977) to develop a similarity metric for model interpretation (equation 8.10, 148).
It contains six main modules: (1) User space, (2) Structure preprocessing, (3) Data preprocessing, (4) Modelling process, (5) Model interpretation (6) Tools.
The structural alerts responsible for the negative characteristics of pharmacological profile of chemical compounds has been found as a result of model interpretation.
