"data sample size" is a correct and usable phrase in written English.
It is typically used in scientific or research contexts when discussing the size or number of data points or observations used in a study or analysis. Example: "The data sample size for our experiment consisted of 100 participants, evenly divided between males and females."
The original and revised versions of the generalized complementary relationship (GCR) of evaporation (ET) were tested with six-digit Hydrologic Unit Code (HUC6) level long-term (1981 2010) water-balance data (sample size of 334).
The original total PVT data sample size they used was 148.
Figure 7 Empirical deviation distribution (a) and box plots (b), for prostate cancer mass-spectrometry data, sample size n = 20, and dimensionality p = 2, with different base classification rules.
Although preliminary investigation showed that the GFMAPR model possessed huge potential for more accurate small data sample size forecasting, a more exhaustive investigation was undertaken to ascertain this observation.
Figure 6 Empirical deviation distribution (a) and box plots (b), for lung cancer gene expression data, sample size n = 20, and dimensionality p = 2, with different base classification rules.
These conclusions are also supported by Figures 3 and 4. Figure 2 Bias, variance (standard deviation), and RMS of as a function of the Bayes error, for the synthetic data, sample size n = 20, and dimensionality p = 2, with different base classification rules.
Consequently, training data sample sizes in the hundreds creates no formal problems, but the power of machine learning may not be fully exploited.
30 Monte Carlo simulations were run at for data sample sizes of 200 to 1000 and the results are presented in Figure 4.
Monte-Carlo simulations were performed to demonstrate the effectiveness of both methods for cases where both the array and data sample sizes are small.
In stability selection, the data sample of size n is randomly sub-sampled to size n/2.
A focus group is not a way to collect statistical data; the sample size is too small and the data is qualitative.
