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MDTDS data was split into small size of data files, as shown in Table 5.
The PPMI data was split in half, maintaining the same HC to PD ratio in both subgroups.
Data was split in a training set (2341 molecules, Additional file 2) and a test set (298 molecules, Additional file 3).
The inventory data was split into training (75%) and testing (25%) groups as shown in Fig. 3 for using in modeling and validation phase respectively.
After normalization, the data was split into pre- and post-globin reduction groups, each containing eight female and three male samples.
We conducted a number of different cross validations, where the number of partitions that the data was split into was varied, from two up to 60.
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Instead, responsibility for data is split between all the dozens of different offices that handle the agency's different reporting regimes.
Parent data were split into lower and higher BAP groups.
The data were split randomly into train and test subsets.
All data is split into two non-overlapping sets: the training set and the test set.
Figure 1 shows how the data is split and loaded onto the targeted GPU. Figure 1 An example of how data is split and loaded onto the GPU.
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