داستان آبیدیک

mean squared error


فارسی

1 کامپیوتر و شبکه:: خطای میانگین مربعات

The average NED and the Peak Signal-to-Noise Ratio (PSNR) that is based on the Mean Squared Error (MSE) are computed to assess the quality of the output image and compare it with the output image generated by an exact multiplier. The equations for the MSE and PSNR are given in 18 MSE = 1 MSE

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2 برق و الکترونیک:: خطای میاگین مربعات

>>> lin_mse = mean_squared_error(housing_labels, housing_predictions) >>> lin_rmse = np.sqrt(lin_mse) >>> tree_mse = mean_squared_error(housing_labels, housing_predictions) >>> tree_rmse = np.sqrt(tree_mse) Scikit-Learn cross-validation features expect a utility function (greater is better) rather than a cost function (lower is better), so the scoring function is actually the opposite of the MSE (i.e.

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