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