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Results tagged with mse
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user 108416
MSE stands for mean-squared error. It's a measurement of an empirical loss in certain mathematical models, especially regression models.
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Proof for MSE = Var + Bias2
= sqErr / (i+1);
printf("\nI=%f Var=%f Bias2=%f MSE=%f", Ie, var, bias2, mse);
}
}
And the output where the mse doesn't equal var+bias2:
I=0.000000 Var=0.000000 Bias2=1.000000 MSE … MSE=0.497118
I=0.583528 Var=0.088888 Bias2=0.173449 MSE=0.443174
I=0.510921 Var=0.069824 Bias2=0.239198 MSE=0.414034
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