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  2. External validity - Wikipedia

    en.wikipedia.org/wiki/External_validity

    External validity is the validity of applying the conclusions of a scientific study outside the context of that study. [1] In other words, it is the extent to which the results of a study can generalize or transport to other situations, people, stimuli, and times.

  3. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.

  4. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    External validation happens when it is performed by asking the stakeholders if the software meets their needs. Different software development methodologies call for different levels of user and stakeholder involvement and feedback; so, external validation can be a discrete or a continuous event.

  5. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  6. Verification and validation of computer simulation models

    en.wikipedia.org/wiki/Verification_and...

    Verification and validation of computer simulation models is conducted during the development of a simulation model with the ultimate goal of producing an accurate and credible model. [ 1 ] [ 2 ] "Simulation models are increasingly being used to solve problems and to aid in decision-making.

  7. Cross-validation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Cross-validation_(statistics)

    If cross-validation is used to decide which features to use, an inner cross-validation to carry out the feature selection on every training set must be performed. [30] Performing mean-centering, rescaling, dimensionality reduction, outlier removal or any other data-dependent preprocessing using the entire data set.

  8. 10 Reasons Why “Looking Poor” Is the Key to Wealth - AOL

    www.aol.com/10-reasons-why-looking-poor...

    The truly wealthy don’t feel the need to flaunt their wealth outwardly and instead put their dollars to work behind the scenes. ... Once you no longer require external validation, watching your ...

  9. Structured expert judgment: the classical model - Wikipedia

    en.wikipedia.org/wiki/Structured_expert_judgment:...

    The nuclear safety community later took onboard expert judgment techniques underpinned by external validation . [4] Empirical validation is the hallmark of science, and forms the centerpiece of the classical model of probabilistic forecasting. [5] A European Network coordinates workshops. Application areas include nuclear safety, investment ...