Which of the following statements best describe the model evaluation stage of the data science methodology?

Question: Which of the following statements best describe the model evaluation stage of the data science methodology?

  1. Model evaluation may entail statistical significance tests, particularly when additional proof is necessary to justify some of the emerging recommendations.
  2. Model evaluation is important because it examines how well the model performs in the context of the business problem.
  3. Model evaluation entails computing graphs and/or various diagnostic measures such as a confusion matrix.
  4. Model evaluation is done using a test set if the model is a predictive one.
  5. All of the above.

Correct Answers: 5

About Introduction to Data Science Methodology Course

Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don’t have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.

Introduction to Data Science Methodology

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