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We increased it up to 423 to adjust for a foreseeable loss of 10% between the sampling and validation of the diagnosis (change of address, death or other reasons).
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Both training samples and validation samples were predicted as the correct class as shown in Fig. 6.
These soil samples were randomly divided into calibration dataset (1757 soil samples) and validation dataset (754 soil samples).
Our study demonstrated that, when comparing the same factors from sample and validation areas, the spatial distribution and spatial dependency level of soil attributes were different.
Two cases with different training samples (representative samples, non-representative samples, and training samples including representative and non-representative samples) and validation samples were set to compare the mapping results and accuracies.
The characteristics of the discovery (8,844 samples) and validation datasets (3,606 samples) are shown in Table 1.
It may be that this is due to LA policies or a quirk of the sample, and validation on a different sample would provide contrary evidence.
The relative small sample size, and the small variance in MAE/RMSE between models may have led to the differing conclusions between the full sample and validation analysis.
We employed a strategy including screening by means of miRNA microarrays using pooled samples and validation by TaqMan qRT PCR for individual mouse samples at different ages.
Based on this approach, we identified four candidate regions for verification in our samples and validation in an independent cohort (Fig. 1 and Table 1).
We reduced the risk of type 1 errors by randomly splitting the data set for training (70% of sample) and validation (remaining 30%).
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