Lesson 7 of 13
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When a model makes a prediction, how do we know if it is good or bad? We need a way to measure prediction error. This measurement is called a loss function (also called a cost function or objective function). The loss function is what the learning algorithm tries to minimize during training.
When a model makes a prediction, how do we know if it is good or bad? We need a way to measure prediction error. This measurement is called a loss function (also called a cost function or objective function). The loss function is what the learning algorithm tries to minimize during training.