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The accuracy of a machine learning model is a measure of how well it can make predictions on new, unseen data.
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In machine learning, the quality of the dataset is just as important as the complexity of the model. Without high-quality data, even the most advanced algorithms and models will not be able to deliver accurate results. In this article, we will explore the correlation between datasets and models, and how the accuracy of a model can impact business outcomes.