"data selection method" is a correct and usable phrase in written English.
It can be used whenever discussing the process of choosing data for analysis or presentation. Example: "In order to effectively analyze the trends of customer behavior, the research team utilized a rigorous data selection method to ensure the most relevant and reliable data was used in their study."
Training and test sets were selected for 6-hydroxy-benzofuran-5-carboxylic acid derivatives using random data selection method.
Results show that the established interpolation data selection method based on terrain roughness degree is better than other traditional interpolation methods in terms of accuracy.
This paper addresses a comparison of four unsupervised data selection methods including random, convex hull based, entropy based and a hybrid data selection method.
We selected waveform data for which the signal-to-noise amplitude ratio of the band-passed waveforms was greater than 4, the same data selection method as for the automatic process of the SWIFT system.
In this work we propose an algorithm to evolve a robust speech representation, using a dynamic data selection method for reducing the computational cost of the fitness computation while improving the generalisation capabilities.
The model developed by SW-PCA using random data selection method is shown in table 2. Table 3 shows the minimum recommended values for various statistical measures used to evaluate the model.
A summary of entire C1XS observations and data selection methods are presented.
Experimental results show that all the three classification-based data selection methods clearly help reducing the overall spoken test set perplexities.
Caragea et al. [ 32] explored the problem of assessing the performance of classifiers trained on macromolecular sequence data, with the emphasis on cross-validation and data selection methods.
Moreover, the following two subsections further demonstrate such an exceptional performance is impossible from overfitting because our proposed algorithm works well consistently for different data sets with different training and test data selection methods.
The companies are highly critical of each other's panel- and data-selection methods, which they cite for the differences.
