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In detail, the mean squared error of prediction (MSE) for predicted and actual class membership probabilities are computed to quantify the degree of improvement.
Test samples were predicted with a relative standard error of prediction of 0.38%, 7.65% and 0.93% for tap density (single component), shear and rheometer respectively.
Root mean squares error of prediction (RMSEP) was used for further comparison of the predictability among different constructed models.
The EWMA equals the present predicted value plus lambda times the present observed error of prediction, text{EWMA} = hat{y}_{t} + lambda y_{t}-hat{y}_{t}) (3).
Thus, when we find the pleasure derived from a thing diminishing, we move on to the next thing or event and almost certainly make another error of prediction, and then another, ad infinitum.
If X and Y are independent, then Cov X, Y) = 0, the optimal predictor is just E(Y), and the mean square error of prediction is Var Y).
standard error of prediction.
root mean squared error of prediction.
ratio of standard error of prediction to standard deviation.
Figure 3 indicates relative error of prediction for different values of bubble point pressure.
Knowing the target vector of T, error of prediction is simply evaluated from following equation.
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