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

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

    The GitHub repository of the project contains a file with links to the data stored in box. Data files can also be downloaded here. [351] APT Notes arXiv Cryptography and Security papers Collection of articles about cybersecurity This data is not pre-processed. All articles available here. [352] arXiv Security eBooks for free

  3. 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]

  4. PRESS statistic - Wikipedia

    en.wikipedia.org/wiki/PRESS_statistic

    Instead of fitting only one model on all data, leave-one-out cross-validation is used to fit N models (on N observations) where for each model one data point is left out from the training set. The out-of-sample predicted value is calculated for the omitted observation in each case, and the PRESS statistic is calculated as the sum of the squares ...

  5. 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]

  6. Cross-validation (statistics) - Wikipedia

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

    Then, one by one, one of the remaining sets is used as a validation set and the other k - 2 sets are used as training sets until all possible combinations have been evaluated. Similar to the k*l-fold cross validation, the training set is used for model fitting and the validation set is used for model evaluation for each of the hyperparameter sets.

  7. College Football Playoff bracket REVEALED + selection day ...

    www.aol.com/sports/college-football-playoff...

    The College Football Playoff bracket is SET. After weeks of speculation, the world knows what the first-ever 12-team playoff looks like, but it’s far from a perfect system.

  8. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    SD-3 was the training set, and it contained digits written by 2000 employees of the United States Census Bureau. It was much cleaner and easier to recognize than images in SD-1. [ 7 ] It was found that machine learning systems trained and validated on SD-3 suffered significant drops in performance on the test set.

  9. Top 5 Most Expensive States for Car Insurance Rates - AOL

    www.aol.com/top-5-most-expensive-states...

    Data source: Motley Fool Money. Keep in mind that this ranking is based on the rates for minimum coverage. And minimum coverage requirements can vary from state to state, so some drivers may be ...