The phrase "validation type" is correct and usable in written English.
It can be used in contexts related to data processing, software development, or any situation where different methods of validation are being discussed.
Example: "Please select the appropriate validation type for the input data to ensure accuracy."
Alternatives: "verification method" or "authentication category."
These studies have been identified as case studies regarding the empirical research, as solution proposals regarding the research type, and as evaluation studies regarding the research validation type.
The default validation type was "compounds out", i.e., the most rigorous validation protocol.
The median is calculated over all 14 ranks (1 rank per dataset, per experiment, per validation type), also shown the median average deviation (MAD).
Such a service is provided by an application layer middleware, which is mostly written in JavaScript and is designed to work in an asynchronous environment; and helps in validation, type casting, object mapping, document mapping, query building and building business logic.
Table 9 Comparison between daily rainfall (Observed) and daily rainfall (Computed) during model calibration and validation Type Period Mean Standard deviation Variance Correlation Model Calibration Precp_61-91_Observed 3.12 10.71 129.83 0.59 Precp_61-91_Computed 3.55 6.23 55.47 Model Validation Precp_92-01_Observed 3.34 15.47 206.01 0.48 Precp_92-01_Computed Precp_92-01_Computed 3.46 5.67 38.81
The validation type column marks indels that were consistent with prediction and those that differed significantly.
For both validation types, we applied a transdisciplinary approach of stakeholder participation.
Further, two different validation types were implemented: "mixtures out" and "compounds out".
As opposed to this, the bias estimates were almost independent of the cross-validation type for PCR.
For MLR the bias estimates also decreased with a larger percentage of construction data in the inner loop for the same reason where the dependence on construction data set size and thus on the cross-validation type was quite strong (Figure 1).
One of the most commonly used algorithms employs a cross-validation type approach.
