Question
Based on Shmueli (2010) article and the textbook, which of the following statements is FALSE? A. The assumption that models with high explanatory power are
Based on Shmueli (2010) article and the textbook, which of the following statements is FALSE?
A. The assumption that models with high explanatory power are inherently of high predictive power has been challenged by Shmueli in her article "To Explain or to Predict?".
B. Data partitioning is a popular solution for avoiding overoptimistic predictive accuracy that could result if the same dataset is used to build a model and assess the goodness of the model.
C. The assumption that models with high explanatory power are inherently of high predictive power has been supported by Shmueli in her article "To Explain or to Predict?".
D. In her article, "To Explain or to Predict", G Shmueli (2010), argues that if performance is significantly better on the training set compared to the validation set, the danger of overfitting is implied.
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