The best size measurement can be reached when one axis of the object's projected disk is aligned with one baseline orientation, and the measurement of cross-sectional area is independent of baseline orientation.
On the contrary, for the full factorial experimental design, the best results are reached when the training data set is of size 2000; overall accuracy is 97.6%.
This is distinctly different from the conventional case where the best performance is reached when δ r =0.5.
The optimized results showed that the best response was reached when the roasting time was 29.9 min, roasting temperature 174.5°C, and pH 6.08, respectively.
The best performance is reached when F1 is equal to 1, while the worst occurs at 0. The recall rate, precision rate and measure F1 were used to evaluate the performance of temporal segmentation methods for 3D video in [11, 23, 38], while Yamasaki et al. [20] only used recall and precision rates in the evaluation process.
The best performance is reached when symbolic tasks are supported by symbolic representation formats and when spatial tasks are supported by spatial representation formats.
The results obtained by means of response surface experimental design methodology showed that the best global response was reached when the extraction temperature was set at 106 °C, the solvent composition close to EtOH H2O 80:20 (v/v), with an extraction time of 15 min.
However, the best phoneme recognition rate is reached when nonnative speakers are involved in both the training and the test phases, which is far from being predictable.
In fact, the best phoneme recognition rate is reached when nonnative speakers are involved in the training and in the test phases.
This happens because the value of the sub-coherence ν increases as the block size increases; therefore, the best value of ν is reached when the block size is considered the smallest.
