Sentence examples for a random split of from inspiring English sources

It should be noted that for all the experiments and results presented in this section, a random split of 50% is used for the individual classes in the databases to form the train and test sets.

The pyrolysis of polysaccharides structure starts by a random split of the glycosidic bonds followed by a further decomposition to form acetic and butyric acids and a series of lower fatty acids where C2, C3 and C6 predominate [14].

For a random split of actives in sets of the same sizes this similarity was 0.69, indicating that the clustering had significantly decreased training-test set similarity which mimics the hit finding practice in drug discovery to identify diverse hits to the training set.

Split variance refers to uncertainty associated with drawing a random split of training and testing sets from all possible splits of a given sample with fixed training-testing ratio.

A random split of the dataset into a derivation and a validation dataset was used.

used a random split of the entire dataset to form one derivation dataset (70%) and one validation dataset (30%).

In order to prove the necessity for a similarity-clustered validation scheme, we generated also a random splitting of the data set and we trained and tested the method accordingly.

The performance of the scoring algorithm was cross-validated by independently deriving the NUTRIC score using a random split half of the sample and then evaluating its discriminative ability on the other half sample.

The validation policy of the SLCMSR prescribes a random split into two parts for hypothesis generation and validation, a variant of independent replication by split sample validation.

Andersen referred to a split according to the score r v, however, one may apply a criterion of substantive interest, like sex, treatment group, or a random split.

The decision was taken, therefore, to use the 2004 total dataset (n = 9807) for the descriptive statistics analyses, to use a random split-half of the 2004 data for running EFA of the measure and to use the second split-half of the 2004 data for running CFA but to carry out the IRT analyses on the 2005 total dataset (n = 9560).