The model has a number of physical and geometric input parameters, which need to be measured for an accurate validation.
For an accurate validation, the strength of our study is the use of two objective measures to validate the questionnaires.
The study further indicates the building and measurement data that are critical for a more accurate validation of thermal-ventilation models, including, on-site measured temperature, wind, and solar conditions; measured volume flow rate data, at critical points throughout the building; and effective area and discharge coefficients for specific vents used in building.
The profile derived from this panel can be compared to an independently genotyped profile for the same individual, allowing accurate validation of data and sample pairings, at a modest cost per sample.
However, single batch held-out test data are often precluded in microarray studies, as there will be insufficient samples for both accurate classifier training and accurate validation.
During the development of this model the need for multiple-fold cross-validations has been reinforced, as this gives the most accurate validation results.
Now: can you follow Saccoman's footsteps and get cheap, fast, accurate validation on it?
Understanding the impact of these variables is critical for accurate quantification and validation of biomarker measurements.
Simulations with calibrated versus a priori parameters of HL-RDHM show that HiResFlood-UCI produces reasonable results with the a priori parameters from NWS. Sensitivities to hydraulic model resistance parameters, mesh resolution and DEM resolution are also identified, pointing to the importance of model calibration and validation for accurate prediction of localized flood intensities.
However, as shown here, large G + C-rich genomes require experimental validation for accurate genome annotation.
