The measure that determines the distance between the predicted and actual v

What measure how far the predictions are from the actual values in machine learning?

Question Posted / Nanak Singh

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Answer Posted / Nanak Singh

The measure that determines the distance between the predicted and actual values in machine learning is called Error or Loss Function. Examples include Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE).

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