To estimate the dollar amount of next month's online sales using historical transaction data, which general ML technique should a solutions architect choose?
Clustering
Binary classification
Regression
Reinforcement learning
Estimating a future numeric value, such as monthly sales revenue, is a regression problem. Regression algorithms are designed to predict continuous quantities. Classification predicts discrete categories (for example, fraud or not fraud), clustering groups unlabeled data into similar clusters, and reinforcement learning trains an agent through feedback to maximize a reward signal rather than predict a specific numeric outcome. Therefore, regression is the most appropriate technique for this use case.
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