Sentence examples for dataset division from inspiring English sources

The second strategy is the dataset division which employs the principal component analysis (PCA) to classify the dataset into training and test sets that yields statistically significant and robust models.

The number of principal components (PCs) to use was based on the development of different HCA considering different number of PCs but using only approximately 2/3 of the total samples (the dataset division was based on the Kennard-Stone algorithm).

The dataset division satisfied the criteria of an appropriate model; namely, the maximum of the test set was less than the maximum of the training set and the minimum of the training set was greater than the minimum of the test set.

As above, the larger datasets required division and reprocessing of subsets through phrap.

Furthermore, when examining the degree of conservation within the cancer protein dataset, a fundamental division between proteins with dominantly and recessively acting mutations (according to the Cancer Census Database[ 12]) identifies a distinct pattern in the comparison proteomes.

To this end, we generated simulated datasets where the division times of the daughter cells are distributed according to the gamma-distribution with shape parameter 3 and are either weakly or strongly correlated with the division times of the mother cells (see text above equation (14)).

These steps (randomized division of dataset and regression analysis considering the same variables) were repeated 1000 times.

Division of dataset resulted in 11 compounds in test set while the rest 27 compounds in training set.

BM25 and CO were deployed on an EHR dataset of the cardiovascular division of Miami Children's Hospital.

The different reconstruction methods applied to the complete dataset unambiguously supported the division of tunicates into the following groups: Phlebobranchia + Thaliacea + Aplousobranchia, Appendicularia and Stolidobranchia.

In contrast, a structured database could have a variety of entity types and relationships [ 12] (e.g., in the EHR dataset of the cardiovascular division of Miami Children's Hospital there are relationships like patient-to-hospitalization, hospitalization-to-exam, and so on).