The ability to understand results using predictive models as a
tool can be critical to the application and the performance based
on determination according to the predictions by supporting a
feasible method. c The suitability to offer a predictive modeling
approach for characterization allows to identify how an analytical
roadmap can serve as guide to describe the model results
according to the data set implemented. c The evaluation of the
suitable characteristics pertaining to the data set can be
described by the constraints in a workload environment. c c The
parameters to create an investigative framework to examine the
environment includes the ability to capture each factor.
This investigative framework allows for the examination of the
significant change in degree of differences. c The impact of
transition segment measures includes the ability to address
cognitive awareness, systems awareness, and performance
awareness. c The probability measures regarding degree of
differences are evaluated according to the matrix results for
attention to environmental workload capturing and identifying
intensity of the control laws inputs related to the degree rates. c
These measures related are characterized to understand the
practical activities intensity of control laws (e.g., low intensity,
medium intensity and/or high intensity).
