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CSEET · Economic and Business Environment · AI and Business Environment

A retailer trains a model on past sales records where each record is labelled with the actual units sold, so that the model can predict next month's sales. This approach is best described as:

This is supervised learning. The model is trained on historical records that carry known labels, namely actual units sold, and learns to predict the outcome for new data. Unsupervised methods and clustering use unlabelled data, so they do not describe a labelled sales forecasting setup.

  1. AUnsupervised learning
  2. BSupervised learningCorrect
  3. CClustering without labels
  4. DGenerative image synthesis

Explanation

Supervised learning trains on data with known labelled outcomes, here actual units sold, to predict a value for new inputs. Unsupervised learning and clustering work on unlabelled data to find patterns, so they do not fit. Image synthesis is a generative task unrelated to sales prediction.

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