Sentence examples for maximum prediction errors from inspiring English sources

The maximum prediction errors for SC1, SC2 and SC3 are, respectively, 11.1, 12.7 and 27.5%.

The maximum prediction errors for SR1, SR2 and SR3 are, respectively, 12.1, 28.7 and 12.4%.

They do not, however, allow prediction of individual values, with maximum prediction errors ranging between approximately 30 60% force across sampling areas.

Up to a spindle speed of 70,000 rpm, the maximum prediction errors in stability boundary for a 500 µm diameter end-mill using constant and velocity chip load dependent cutting coefficients are ~33%and~11%1%, respectively.

The predicted beam failure loads were compared with experimental results, with the obtained maximum prediction error of 8.4% indicating good agreement.

The maximum prediction error for surface hardness is less than 1.6%.

The predicted temperature values were in good agreement with the experimental data with the maximum prediction error of 6 °C.

The developed model was validated with a new set of experimental data, and the maximum prediction error of the model was less than 7%.

The results of the model have been compared with the experimental data of the pilot plant showing a maximum prediction error of 9%.

The simulated outlet temperatures of particulate foods had a good agreement with experimental data within the maximum prediction error of 4%.

When comparing in silico and in vivo data sets after a period of four weeks, a maximum prediction error of 2.4% in bone volume fraction and 5.4% in other bone morphometric indices was calculated.