A retail startup uses historical daily sales numbers, marketing spend, and holiday indicators to estimate how many units it will sell next month. Which machine learning technique is best suited to this prediction task?
Regression
Classification
Reinforcement learning
Clustering
The target being predicted is a continuous numeric value-the expected number of units sold. Problems that predict continuous quantities use regression algorithms. Classification would assign data to discrete categories, clustering would group unlabeled data without predefined outputs, and reinforcement learning focuses on learning actions through trial-and-error feedback rather than making direct numeric forecasts.
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