Sentence examples for cross splitting from inspiring English sources

Furthermore, the 10-fold cross splitting method used for building the ANN ensembles could ensure each datum was equally used for both training and validation.

A Partial Cross Split Vedic Multiplier (PCSVM) method is introduced in the proposed DTT architecture.

In the first half, he made an aggressive move and could have targeted Teal Bunbury at the near post or Joe Corona at the far post, but his sloppy cross split the difference and the chance fell apart.

Next, we applied the cross-split-half-method [ 30] to validate the effectiveness of prediction by these variables with logistic regression [ 31] and evaluated the amount of over estimation of prediction performance by a single data set.

Cell wall degradation is an essential process, with cross wall splitting required during cell division and peptidoglycan expansion requiring the release of free extremities to add new cell wall monomers through the activity of penicillin binding proteins.

Results were cross-validated splitting the total sample randomly and using the cross-validation index.

An elaborate stairway, with balcony, abuts the wall and lets pedestrians do what cars can't: cross this split-level street.

We tested different combinations of hyper-parameters using cross-validation, splitting the training and testing data alternatively by field, year, and state to assess the influence of clustering on validation results and evaluate the generalizability of the classification model.

13C-Methyl-transverse relaxation optimized spectroscopy measurements of the PIDDosome core exhibit signs of differential line broadening, cross-peak splitting and chemical shift heterogeneity that reflect the presence of non-equivalent sites at interfaces within an asymmetric complex.

We also considered a fivefold cross validation splits a set of 20 compounds into 5 subsets of 4 compounds each, so it is unsurprising that the models do not maintain their predictive ability for small classes.

The function of the proteins in the training set were hidden and predicted from methods applied to the training set, and the percentage of correctly predicted proteins was calculated over 100 cross validation splits.