Topic 1 Question 255
A retail organization is training a model to recommend products to customers for an ecommerce website. The model was trained on previous purchases, but did not include demographic information on each buyer. What dimension of the data is responsible for the model's poor performance?
Validity
Accuracy
Timeliness
Completeness
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- 正解だと思う選択肢: D
D. Completeness.
Completeness refers to the extent to which all necessary data is available for the model. In this case, the model is trained on previous purchases but lacks demographic information about the buyers, which is likely an important factor for making more personalized and accurate product recommendations. The absence of this data can lead to poor performance, as the model doesn't have all the relevant information it needs to make better predictions for each individual customer.
👍 1joshnort2025/01/16
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