What does not make a good model?a.Elegantb.Few arbitrary elementsc.Explain all existing observationsd.Gives future predictionse.All of the abovef.None of the above

explain in detailed predictive models

Select Any One Of the Following Options: What does the robustness of a model refer to?its ability to predict the outcome of a previously unknown data set accuratelyits speed of computation and computational costs in using the modeits ability to construct a prediction model efficiently given a large amount of dataits ability to overcome noisy data to make somewhat accurate predictions

What does the robustness of a model refer to?its ability to construct a prediction model efficiently given a large amount of dataits speed of computation and computational costs in using the modeits ability to predict the outcome of a previously unknown data set accuratelyits ability to overcome noisy data to make somewhat accurate predictions

Describe three indicators that suggest a data model is good.

Dumas (2018) suggests that a model removes ______________________. A. irrelevant aspects of what is being modelled B. costs of representation of the real world situation C. semantic and syntax errors when executed D. the conceptual level of detail from the situation E. none of the above