Sentence examples for internal validation procedure from inspiring English sources

Significant correlations were achieved for each subset of chemicals and all models were validated with the leave-one-out internal validation procedure (R2cv≈0.80).

The results from this initial screening are then used to train a conformal predictor and different confidence levels of the predictor are then evaluated using the internal validation procedure and the defined gain-cost function.

The trends observed in the training data when applying the internal validation procedure translated very well to how the models performed when applied to the test data with an average absolute difference in the validity of 0.02 and 0.01 for active and inactive compounds respectively.

If the optimal approach identified using the internal validation procedure had been used to select the next screening set from the remaining compounds, the gain would have been maximized in 8 of the 12 datasets at screening cost 6, in 9 of the 12 datasets at screening cost 10, and in 10 of the 12 datasets at screening cost 14 (see Additional file 2 for tabularised values).

The ABRS was highly predictive when the internal validation procedure was performed.

The internal validation procedure showed good robustness of the final model (optimism = 0.04).

Internal validation procedures use height and weight information, and concurrent validity indicators compare NLSY sibling results to other sibling studies.

It was determined that 108 genes provide the optimal number of features for a functional gene signature derived from this particular training set, using the internal validation procedures described above.

In addition to the yearly internal validation procedures, as previously described (3), and the studies using external sources for validation, we have, since 2003, instituted a continuous validation with another source (i.e., the Swedish Quality Assessment Register for Childhood Diabetes) that covers the 0- to 18-year age-group.

For both PAMR and EVORA, a 10-fold internal cross-validation procedure was used to build the feature classifiers.

For internal validation, we applied a bootstrapping procedure.