Sentence examples for statistical evaluation methods from inspiring English sources

Though classifier accuracy and precision are not the best statistical evaluation methods for imbalanced datasets, the results of these may be found in the supplementary Excel results file.

Using GTC's existing transmission line siting process, the study incorporated geographic information system (GIS) technology, statistical evaluation methods and stakeholder collaboration to produce a new siting methodology.

This study has used statistical evaluation methods as employed by Al Adasani and Bai (2011), to develop screening criteria for MGI, WAG, SWAG, and FAWAG for typical North Sea reservoirs.

Hence, only statistical evaluation methods can be employed and results must be reviewed in comparison to the performance of other candidate algorithms and to solutions known to be optimal.

We also applied novel powerful Bayesian statistical evaluation methods to analyze repeat size variation of individual MSRs and all MSRs collectively.

Two critical factors in performance evaluation are i) good benchmarking datasets and ii) the use of appropriate statistical evaluation methods [ 32].

In this paper, the annihilation behavior of the filament in Cu/HfO2/Pt PMC device is investigated according to the above mentioned statistical evaluation method.

In this study, a statistical evaluation method is developed to analyze the filament structure evolution process in the reset operation of Cu/HfO2/Pt RRAM device.

Also, guidance on the selection of animals, diagnostic techniques, statistical evaluation and methods for the preparation, maintenance and use of parasites is provided.

Due to the large number of missions performed by PS ambulances vs. TS ambulances, a second pilot study was conducted to eliminate the potential bias in our statistical evaluation (see Methods and Results).

The low resolution performance of the reference method will make the statistical evaluation of this method uninteresting, and we, therefore, will not be using it any further in the experiments to follow.