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To calibrate the AI models, NO3-N concentration data are divided in two datasets for the training and validation purposes.
In this study, fractal and multifractal self-affinity in two datasets (d1 and d2) of groundwater level fluctuations time series, each having more than 2000 data points, were evaluated.
So, we train CRFs in two datasets separately.
The security testing process records data about fixing issues in two datasets.
The changing trends of RR, PC and blocking time against k are similar in two datasets.
Although the concepts of stability selection were utilized in this study, the setup of experiment differs in two datasets.
The majority of the substances with missing criteria were measured in two datasets: CH 1-2 and CH 2-1.
Whereas it is relatively easy to find identical compounds in two datasets, the quantification of the overlap is not straightforward.
Furthermore, it decreased the false positive rate in all cases by outperforming the benchmark results in two datasets.
In order to assess the reliability of collected subjective NASA-TLX scores, we apply the alpha test in two datasets.
As one may expect, although the numbers of cascades in two datasets are similar, we will see that the running time of a network inference algorithm on these two datasets is very different.
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