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The phrase "test sample size" is correct and usable in written English
It can be used when discussing the number of samples taken for testing in research or experiments. Example: "To ensure the validity of our results, we need to determine the appropriate test sample size for our study."
Exact(12)
The present paper focuses on a rigorous statistical procedure referring to small-sampling theory leading to the determination of the number of specimens to test (sample size) in the laboratory for the determination of mechanical properties of rocks.
The test sample size was fixed at 5000 for all tests when varying the size for training samples.
Although the classification models achieve acceptable performance, the learning curve can be completely masked by the random testing uncertainty due to the equally limited test sample size.
Computation of test sample size based on binomial formulation has been criticized as inadequate for assessment of the confusion among a large number (more than a dozen) of classes and for a large number of image pixels (e.g., [75]).
In particular both materials demonstrate a size effect in which stiffness increases as test sample size reduces; an effect that is unrecognized by classical elasticity but predicted by more generalized elasticity theories that are thought to describe the behaviour of heterogeneous materials more fully.
And in the final classification experiments, we repeat five times random sampling to test sample size's impact on the overall performance.
Similar(46)
In consequence, we determine test sample sizes necessary to achieve reasonable precision in the validation and find that 75 100 samples will usually be needed to test a good but not perfect classifier.
Kruskal-Wallis test Sample sizes not given because they vary with the disease; they can be found in Table 1.
But Beleites et al. demonstrate that the test sample sizes are necessary to achieve reasonable precision in the validation, too small sample size situation will completely mask the learning curve [ 39].
Then we report the overall scores by weighting the individual scores according to the test sample sizes, Shown are the median differences and, in parentheses, the Mann-Whitney test p-values (those less than 0.01 are set to 0).
The average length and diameter were measured in order to check whether the test samples size was as intended.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com