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  2. 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]

  3. Learning curve (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Learning_curve_(machine...

    In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and usually a validation set) changes with the number of training iterations (epochs) or the amount of training data. [1]

  4. 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.

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Training, validation, and test set splits created. 1,540 .npy files Classification 2019 [290] [291] S. Javadi and S.A. Mirroshandel ... validation data;

  6. Cross-validation (statistics) - Wikipedia

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

    This method, also known as Monte Carlo cross-validation, [21] [22] creates multiple random splits of the dataset into training and validation data. [23] For each such split, the model is fit to the training data, and predictive accuracy is assessed using the validation data. The results are then averaged over the splits.

  7. Verification and validation of computer simulation models

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

    The model is viewed as an input-output transformation for these tests. The validation test consists of comparing outputs from the system under consideration to model outputs for the same set of input conditions. Data recorded while observing the system must be available in order to perform this test. [3]

  8. Herbert A. Allen - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/herbert-a-allen

    From January 2008 to December 2012, if you bought shares in companies when Herbert A. Allen joined the board, and sold them when he left, you would have a 18.0 percent return on your investment, compared to a -2.8 percent return from the S&P 500.

  9. Early stopping - Wikipedia

    en.wikipedia.org/wiki/Early_stopping

    Split the training data into a training set and a validation set, e.g. in a 2-to-1 proportion.