Sentence examples for mean prediction errors from inspiring English sources
The three light sources employed were suitable to fulfill the goal (mean prediction errors were 4.9%, 2.5%, and 1.7% for the LED, CWLD, and FPL models, respectively).
The models provided accurate results for the estimation of the concentration of [bpy][Cl] and [bmim][Cl] (the best model offered the following mean prediction errors (MPEs): MPE[bpy][Cl] = 3.81% and MPE[bmim][Cl] = 5.78%).
The mean prediction errors of x and y pole coordinate data are slightly greater than those computed by the current method of polar motion prediction carried out in the IERS Sub-Bureau for Rapid Service and Prediction.
The mean prediction errors are generally within a factor of 1.3 of the observed values for CO2, within a factor of 2 for HC and NOx, and within a factor of 3 for CO and PM, although differences as high as a factor of 5 have been reported.
The statistical results offered by the designed MLP model confirmed that it can be used to accurately estimate the viscosity of the tested IL mixtures (mean prediction errors around 1.5% for a k-fold cross-validation and about 2.3% for three blind tests).
In addition, all of the mean prediction errors are within 0.005.
The mean prediction error, R, proportion predicted outside the valid range, clinical interpretation of coefficients, model fit and estimation of Quality Adjusted Life Years (QALY) are reported and compared.
Fivefold cross-validation with 20% of the responses predicted in each run achieved a mean prediction error of 0.671, very close to the residual SD of 0.669.
The model was able to predict HbA1c at end-of-trial (24 28 weeks) with a mean prediction error of 0.14% ranging from 0.01 to 0.24% across the different treatment arms.
HbA1c percentage was predicted for each arm at end-of-trial with a mean prediction error of 0.14% [0.01 0.24].
