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Ninety percent accuracy means that out of all the attempts or predictions made, 90 percent are correct. For example, if a model predicts outcomes for 100 instances, achieving 90 percent accuracy indicates that it correctly predicted the outcomes for 90 of those instances. This metric is often used to evaluate the performance of classification models in machine learning and statistics. However, it may not fully capture the model's effectiveness in cases of class imbalance or when the costs of false positives and false negatives differ significantly.

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AnswerBot

1w ago

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