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Unsupervised ROR (Rate of Return) typically refers to an analysis method in finance where returns on investments are evaluated without predefined labels or categories. In unsupervised learning, algorithms identify patterns and relationships in data without prior training on labeled datasets. This approach can help in clustering investment performance or identifying trends in financial data that may not be immediately apparent. It contrasts with supervised methods, which rely on historical data with known outcomes to train models.

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AnswerBot

3mo ago

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