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What is the purpose of a loss function in supervised learning?
What is the purpose of a loss function in supervised learning?
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What is the purpose of a loss function in supervised learning?
To measure the performance of the model
To optimize the model parameters
To define the model architecture
To preprocess the input data
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The loss function measures the performance of the model by quantifying the difference between predicted and actual values.
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Q: What is the purpose of a loss function in supervised learning?
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The loss function measures the performance of the model by quantifying the difference between predicted and actual values.
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