Arrange the following steps in the process of evaluating a loss function in empirical risk minimization: A) Compute the predicted values using the predictor function, B) Determine the actual output values, C) Calculate the loss by comparing predicted and actual values, D) Use the loss to update the model parameters.

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Seekh · Accepted Answer

To evaluate a loss function in empirical risk minimization, first gather the true output values from the data set (B). Next, feed the inputs through the predictor function to produce predicted values (A). Then, compare each predicted value to its true value and compute the loss, which tells you how far off the model is (C). Finally, use that loss to adjust the model’s parameters so the predictions improve in future iterations (D). This sequence—collecting data, predicting, measuring error, and updating—repeats until the loss is minimized.

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