Which statement best describes the Modeling Stage of the data science methodology?1 pointModeling is always based on predictive modelsThe Modeling stage is followed by the Analytic Approach stageModeling always uses training and test setsModeling always requires testing multiple algorithms and parame
Question
Which statement best describes the Modeling Stage of the data science methodology?1 pointModeling is always based on predictive modelsThe Modeling stage is followed by the Analytic Approach stageModeling always uses training and test setsModeling always requires testing multiple algorithms and parame
Solution
The statement that best describes the Modeling Stage of the data science methodology is "Modeling always uses training and test sets".
In the modeling stage, algorithms are selected and features are created to develop a model. This model is then trained using a training dataset and tested using a test dataset to evaluate its performance. This process may be repeated multiple times, using different algorithms and parameters, until the best model is found.
It's important to note that while predictive models are often used in the modeling stage, they are not the only type of models used. Similarly, while multiple algorithms and parameters may be tested, this is not always the case.
Finally, the Modeling stage is not followed by the Analytic Approach stage. In fact, the Analytic Approach stage typically comes before the Modeling stage in the data science methodology.
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