Model improvement refines machine learning algorithms by tuning parameters, adding data, or adjusting features to boost accuracy and efficiency. Companies use it to enhance predictions in sectors like healthcare, finance, and e-commerce. Developers, data scientists, and end-users benefit from reduced errors, faster insights, and better decision-making outcomes.
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