Sentence examples for random validation from inspiring English sources

The random validation samples excluded from the modeling process were used to validate the selected model.

Based on the achieved results, the proposed system can identify users with best accuracy of 91.05% and verify them with an equal error rate of 3.2% using 200-fold random validation (random sub-sampling).

The accuracies of the fifteen resulting land cover maps were evaluated statistically based on two validation sets: a random validation set and a validation subset containing pixels present in the difference area between the uncorrected classification and one of the fourteen corrected classifications.

Prediction accuracies were then averaged over 100 random validation sets.

To this end, a conservative analysis using multiple random validation [ 34] is proposed.

A multiple random validation strategy has been suggested to combat this problem [ 27].

All methods were validated using both a random split validation and a temporal validation, with the latter being a more realistic benchmark of expected prospective execution.

Standard choices for the parameters of the repeated random subsampling validation (80% training, 10% validation, 10% test) [ 33] and the decision threshold to compute sensitivity, specificity, negative/positive predictive value (threshold = 0.5) were chosen to reduce bias.

The acute myocardial infarction and pneumonia readmission-risk models performed well on a random sample validation cohort (AUC range 0.73 to 0.76) but less well on a historical validation cohort (AUC 0.66 for both).

To compute accuracy of our system, we have used 5-fold random cross validation method [33] in each playback singer model.

Fig. 2 Performance of the different methods in the random split validation, grouped by underlying algorithm and colored by metric used.