Sentence examples for sizes for data from inspiring English sources

Table 2 Training, validation and test partition sizes for data Experiment Partition Num. of instances % of data Embedding Full 100,000 100 Training 72,000 72 Validation 12,960 18 Test 1296 10 Padding Full 1600,000 100 Training 1152,000 72 Validation 207,360 18 Test 20,736 10 Table 3 Dimension of each instance's using the four different character embeddings.

We have implemented computations of allelic richness, private allelic richness and our new measure of generalized private allelic richness in a computer program ADZE (Allelic Diversity AnalyZEr)—a tool for 'chopping' samples down to standardized sizes for data analysis.

Computer designers must choose one common size for data -- a standard number of bits -- and use it throughout each machine.

While this is still an appropriate sample size for data analysis, it negates the other important function of the survey as an engagement tool that would drive conversation, awareness and discussion of these issues on campuses.

An equivalent and more elegant approach would be use the Im statistic re-normalised to be independent of tree size for data from the Yule distribution [ 47].

However, the sample size for data on genomes from different taxonomic groups is still low, therefore a robust conclusion is not yet possible.

This method of analysing CTC as a triage technique may give a more realistic view than the method of matching CTC and colonoscopy polyps, and then using the colonoscopy lesion size as the reference size for data reporting.

Because FD is a rare disease, it was necessary to pool data of multiple languages to be able to include patients with a wide range of disease severity and to ensure a sufficient sample size for data analysis.

Crystals that appeared slightly thinner, estimated at ∼1.5 μm, did show diffraction, but because the quality of the pattern varied depending on the sample tilt, we did not use crystals of this thickness and size for data collection.

Normal approximations to distributions are often used to estimate sample sizes for discrete data, even when the data are to be analysed by generalized linear models.

– Data dimensions: Defines dimension sizes for defined data sets (i.e. variables).