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For PLS models each group was randomly divided into two sets (training or prediction).
The subjects in the TB and non-TB control groups were randomly divided into two sets: the training set and the blinded test set (Table 1).
Data were randomly split into two sets.
The data set was randomly split into two sets.
First, all 314 compounds were randomly divided into two sets.
Input and target vectors were randomly divided into three sets.
Paired and single reads were randomly separated into three sets.
The researchers randomly divided the 36 word pairs into three sets of 12.
Twenty consenting communities have been randomly grouped into sets of 4 communities.
The unused set is split randomly into two equal sets.
Fifty-six SD rats were divided into seven groups randomly with each group consisting of eight rats.
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