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  2. Oversampling and undersampling in data analysis - Wikipedia

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

    To then oversample, take a sample from the dataset, and consider its k nearest neighbors (in feature space). To create a synthetic data point, take the vector between one of those k neighbors, and the current data point. Multiply this vector by a random number x which lies between 0, and 1. Add this to the current data point to create the new ...

  3. Replication (statistics) - Wikipedia

    en.wikipedia.org/wiki/Replication_(statistics)

    In engineering, science, and statistics, replication is the process of repeating a study or experiment under the same or similar conditions to support the original claim, which is crucial to confirm the accuracy of results as well as for identifying and correcting the flaws in the original experiment. [1]

  4. Record linkage - Wikipedia

    en.wikipedia.org/wiki/Record_linkage

    Interactive record linkage is defined as people iteratively fine tuning the results from the automated methods and managing the uncertainty and its propagation to subsequent analyses. [20] The main objectives of interactive record linkage systems is to manually resolve uncertain linkages and validate the results until it is at acceptable levels ...

  5. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    The bootstrap sample is taken from the original by using sampling with replacement (e.g. we might 'resample' 5 times from [1,2,3,4,5] and get [2,5,4,4,1]), so, assuming N is sufficiently large, for all practical purposes there is virtually zero probability that it will be identical to the original "real" sample. This process is repeated a large ...

  6. 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]

  7. Trump on collision course with conservatives over debt limit

    www.aol.com/trump-collision-course-conservatives...

    President-elect Trump is headed for a battle over the debt limit with conservative lawmakers who are demanding steep cuts to federal spending that will significantly complicate Trump’s ability ...

  8. Linda McMahon’s alleged WWE sexual abuse lawsuit paused - AOL

    www.aol.com/linda-mcmahon-alleged-wwe-sexual...

    A federal judge paused the child sexual abuse case involving President-elect Donald Trump's education secretary pick Linda McMahon, her husband Vince McMahon and World Wrestling Entertainment (WWE).

  9. Here’s the last day to send your gifts in time for the holidays

    www.aol.com/last-day-send-gifts-time-143042135.html

    The National Retail Federation confirmed this month that holiday spending could increase by as much as 3.5% from last year and hit a new record of $989 billion.