… well-known datasets. The evaluation … A threat to the construct validity of this study involves
the selection of the performance criteria (ie, MSE and R 2 ) for evaluating the defect prediction …

… have emerged the requirements of hardware and software applications. Along with … dataset
collection and training set. The labels of the training dataset are used to build the prediction …

… using the data set for predicting project delay extents. Finally, the predictive performances
of … model provides a better predictive performance for the data set examined. Ultimately, the …

… predictive ML model from a genotype dataset. (B) The final model can then be used for
disease risk prediction… applications, computational time, and memory requirements. Data are …

… satisfying a certain monotonicity requirement. The calibration … We return to the Imagenet
dataset for our empirical … of our hierarchical predictions on this dataset, and Figure 11 …

… They defined three abilities that risk assessment should have: (i) … the software, such as the
software requirements specification (… from the MOOS database or outputs within the software. …

… Overall study population Overall, 1205 practices in England met our inclusion criteria. Of …
recently reported analysis of risk factors from another English general practice database using a …

… metrics on an external validation dataset) to the complicated (for … for reporting genetic risk
prediction studies to convey the … final minimal reporting requirements (Supplementary Table 3…

… for mitigation applications require extensive resources and skills for database management,
… projection datasets to list projected flood events. The details of datasets are provided below: …

… requirements, with constantly shifting treatment guidelines. A scientific approach to planning
and delivering health care is sorely needed to … The end year of the 5-year dataset was 2018. …