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  2. Cross-validation (statistics) - Wikipedia

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

    In 2-fold cross-validation, we randomly shuffle the dataset into two sets d 0 and d 1, so that both sets are equal size (this is usually implemented by shuffling the data array and then splitting it in two). We then train on d 0 and validate on d 1, followed by training on d 1 and validating on d 0. When k = n (the number of observations), k ...

  3. Expected goals - Wikipedia

    en.wikipedia.org/wiki/Expected_goals

    Their logistic regression identified five factors that had a significant effect on determining the success of a kicked shot: distance from the goal; angle from the goal; whether or not the player taking the shot was at least 1 m away from the nearest defender; whether or not the shot was immediately preceded by a cross; and the number of ...

  4. Resampling (statistics) - Wikipedia

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

    Cross-validation is employed repeatedly in building decision trees. One form of cross-validation leaves out a single observation at a time; this is similar to the jackknife. Another, K-fold cross-validation, splits the data into K subsets; each is held out in turn as the validation set. This avoids "self-influence".

  5. Cross-validation - Wikipedia

    en.wikipedia.org/wiki/Cross-validation

    Cross-validation may refer to: Cross-validation (statistics) , a technique for estimating the performance of a predictive model Cross-validation (analytical chemistry) , the practice of confirming an experimental finding by repeating the experiment using an independent assay technique

  6. Subsidy Scorecards: University of Rhode Island

    projects.huffingtonpost.com/projects/ncaa/...

    SOURCE: Integrated Postsecondary Education Data System, University of Rhode Island (2014, 2013, 2012, 2011, 2010).Read our methodology here.. HuffPost and The Chronicle examined 201 public D-I schools from 2010-2014.

  7. Statistical model validation - Wikipedia

    en.wikipedia.org/wiki/Statistical_model_validation

    Cross validation is a method of model validation that iteratively refits the model, each time leaving out just a small sample and comparing whether the samples left out are predicted by the model: there are many kinds of cross validation. Predictive simulation is used to compare simulated data to actual data.

  8. No-penalty CD vs. savings account: How to match your ... - AOL

    www.aol.com/finance/no-penalty-cd-vs-savings...

    No-penalty CDs and savings accounts are low-risk investments that offer a safe way to grow your money while earning interest. Here's how to match your cash to the best savings strategy for you.

  9. Smothers' late TD helps NC State edge rival North Carolina 35 ...

    www.aol.com/smothers-td-helps-nc-state-002711057...

    Hollywood Smothers slipped through the middle of the line for a 2-yard touchdown with 25 seconds left to help N.C. State beat rival North Carolina 35-30 on Saturday night in the Tar Heels' final ...