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However, the proposed extended design procedure which combines model parameter improvement with performance verification in the neighbourhood of the predicted optimum has given promising results.
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We asked which mechanism (i.e., model parameter) led to the observed improvement in task performance.
Link a model parameter to another model parameter.
Each weight represents a free model parameter.
Estimating model parameter differences.
In addition, it was revealed that the adaptation of the model parameters cannot lead to a comprehensive improvement of the model's results.
A comparison of the five-parameter model with a two-parameter spring damper model suggests that in some cases the use of additional model parameters may not offer a significant improvement.
Tweaking certain AI model parameters could further enhance this advantage, obtaining approximately 50% more improvement (outcome change) for roughly half the costs.
A proportional odds model for the strength scores was used to evaluate improvement; anticipated correlation was incorporated by estimating model parameters with generalized estimating equations.
However, a more comprehensive study on the improvements in generalization accuracy upon optimizing various model parameters would be desirable.
In addition, all data from the database or user-files can now be analysed by pair-wise joint mortality modelling and detection of significant model improvement by separately fitted single parameters, i.e. detection of significantly different optimal model parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com