Sentence examples for dataset for example from inspiring English sources
They also admit there are some limitations to the dataset – for example, if houseboats and a mobile home had not been included in the London figures then the proportion of affordable properties would be even lower.
There are several related works on action recognition with IXMAS dataset, for example [23 25, 43].
Multiple ways of distribution may be available for a dataset, for example when the data is available in multiple formats.
The bit-string fingerprint descriptor values that only had one value throughout the dataset (For example, all 0 s or all 1 s) were removed.
While the differences between HumanEva dataset and IXMAS dataset, for example, different ways of actors performing the same actions, might cause some false prediction.
The tag could point to an OpenTox Algorithm or Model service, in case it holds a calculated value, or point to a Dataset service, in case it contains information, uploaded as a dataset (for example experimental endpoint data).
In fact, the environment-specific datasets were the datasets which compose the multi-condition (combined) datasets, for example the multi-condition (combined) '5s.20u' datasets were composed by environment-specific '5s.5u' datasets of four environments.
Furthermore, we demonstrated that there are datasets (for example, AquaticTox) where the interval of nested cross-validation errors is wide, and in which cases the user must assess the suitability of the model for the task in hand.
The classical approach of comparing models by global R2/Q2 fitting performance may or may not reflect higher predictive ability, especially when dealing with different sizes of datasets, for example.
In addition, several statistical analytical methods have been used for analysis of metabolomic datasets; for example, hierarchical cluster analysis (HCA) [39, 78], partial least squares discriminant analysis (PLS-DA) [52, 65], and batch-learning self-organizing map (BL-SOM) [43, 44, 54].
Analysis of multiple datasets, for example combined analysis of microarray gene expression datasets addressing similar biological questions conducted at an interpretational level by meta-analysis, can enable more accurate results.
