Question: Why might supervised learning become more precise with the provision of more labeled samples? It improves the model's ability to learn and recognize patterns from

Why might supervised learning become more precise with the provision of more labeled samples? It improves the model's ability to learn and recognize patterns from the data. It eliminates the need for any predefined algorithms. It uses statistical methods to analyze the increasing amount of data. It creates new rules based on each new sample provided. 1 point

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