Sentence examples for dataset development from inspiring English sources

The prediction model was developed using a random sample of 50%% of the dataset (development group), and was subsequently tested upon the remaining 50%% (validation group).

Five male and female volunteers aged between 20 to 65 years participated in dataset development.

To solve this issue, three different datasets will be provided in future editions: training dataset, development dataset, and test dataset.

Racemic mixtures and compounds containing highly flexible chain substituents (chain length ≥ 7) were excluded during dataset development resulting in 175 steroidal and 124 aromatic azaheterocyclic AIs.

A flowchart showing dataset development and the numbers of available individuals and reasons for exclusion are presented in Figure  1.

All genic-based data sets were filtered during dataset development to eliminate SNPs near predicted intron boundaries (Hulse-Kemp et al. 2014; Ashrafi et al. 2015; Zhu et al. 2014) so SNPs and flanking sequences could be aligned directly with genomic-based markers to filter putative SNPs as indicated above.

Two datasets, development and test, have been constructed, and the duration of each dataset is about 600 s.

This benchmarking set was formed by two separate datasets, development, and evaluation, containing sequences recorded by five of the participating partners.

Patients were devided into two datasets: development (n = 350) and validation (n = 191).

Sampling from the Osteoarthritis Initiative (OAI), we created 4 datasets: (1) a development dataset (n = 100 knees), (2) a test dataset (n = 80 knees), (3) a validation dataset (n = 100 knees), and (4) a reliability dataset (n = 20 knees).

In our analysis, we utilized the entire SUPPORT dataset, both development and validation cohorts.