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  2. V-model - Wikipedia

    en.wikipedia.org/wiki/V-Model

    The V-model is a graphical representation of a systems development lifecycle.It is used to produce rigorous development lifecycle models and project management models. The V-model falls into three broad categories, the German V-Modell, a general testing model, and the US government standard.

  3. V-model (software development) - Wikipedia

    en.wikipedia.org/wiki/V-Model_(software_development)

    The V-Model reflects a project management view of software development and fits the needs of project managers, accountants and lawyers rather than software developers or users. Although it is easily understood by novices, that early understanding is useful only if the novice goes on to acquire a deeper understanding of the development process ...

  4. 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]

  5. Feature model - Wikipedia

    en.wikipedia.org/wiki/Feature_model

    Feature models are visually represented by means of feature diagrams. Feature models are widely used during the whole product line development process and are commonly used as input to produce other assets such as documents, architecture definition, or pieces of code. [citation needed] A SPL is a family of related programs.

  6. Object-oriented programming - Wikipedia

    en.wikipedia.org/wiki/Object-oriented_programming

    For example, a simple linearized object would consist of a length field, a code point identifying the class, and a data value. A more complex example would be a command consisting of the length and code point of the command and values consisting of linearized objects representing the command's parameters.

  7. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    This point can be illustrated with a simple example: Assume no predictive variables and where the proportion of = is 0.01 and the proportion of = is 0.99. Is a model which learns ^ (=) = useless and should be modified via undersampling or oversampling? The answer is no. Class imbalance is not a problem in itself at all.

  8. Situation, task, action, result - Wikipedia

    en.wikipedia.org/wiki/Situation,_task,_action...

    Job interview candidates who describe a “Target” they set themselves instead of an externally imposed “Task” emphasize their own intrinsic motivation to perform and to develop their performance. Action: What did you do? The interviewer will be looking for information on what you did, why you did it and what the alternatives were.

  9. Model–view–viewmodel - Wikipedia

    en.wikipedia.org/wiki/Model–view–viewmodel

    The view model is an abstraction of the view exposing public properties and commands. Instead of the controller of the MVC pattern, or the presenter of the MVP pattern, MVVM has a binder, which automates communication between the view and its bound properties in the view model. The view model has been described as a state of the data in the ...