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  2. Mean squared prediction error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_prediction_error

    The out-of-sample MSPE in this context is exact for the out-of-sample data points that it was computed over, but is merely an estimate of the model’s MSPE for the mostly unobserved population from which the data were drawn.

  3. The Keys to the White House - Wikipedia

    en.wikipedia.org/wiki/The_Keys_to_the_White_House

    The Keys to the White House, also known as the 13 keys, is a prediction system for determining the outcome of presidential elections in the United States.It was developed by American historian Allan Lichtman and Russian geophysicist Vladimir Keilis-Borok in 1981, adapting methods that Keilis-Borok designed for earthquake prediction.

  4. Scoring rule - Wikipedia

    en.wikipedia.org/wiki/Scoring_rule

    That is, a prediction of 80% that correctly proved true would receive a score of ln(0.8) = −0.22. This same prediction also assigns 20% likelihood to the opposite case, and so if the prediction proves false, it would receive a score based on the 20%: ln(0.2) = −1.6. The goal of a forecaster is to maximize the score and for the score to be ...

  5. Forecast skill - Wikipedia

    en.wikipedia.org/wiki/Forecast_skill

    In this case, a perfect forecast results in a forecast skill metric of zero, and skill score value of 1.0. A forecast with equal skill to the reference forecast would have a skill score of 0.0, and a forecast which is less skillful than the reference forecast would have unbounded negative skill score values. [4] [5]

  6. Prediction interval - Wikipedia

    en.wikipedia.org/wiki/Prediction_interval

    Given a sample from a normal distribution, whose parameters are unknown, it is possible to give prediction intervals in the frequentist sense, i.e., an interval [a, b] based on statistics of the sample such that on repeated experiments, X n+1 falls in the interval the desired percentage of the time; one may call these "predictive confidence intervals".

  7. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain ...

  8. 2020 United States presidential election predictions

    en.wikipedia.org/wiki/2020_United_States...

    State or district EV PVI [1] 2016 result 2020 result Cook Oct 28, 2020 [2] Inside Elections Oct 28, 2020 [3] Sabato Nov 2, 2020 [4] Politico Nov 2, 2020 [5] Real Clear Politics

  9. Statistical association football predictions - Wikipedia

    en.wikipedia.org/wiki/Statistical_association...

    Statistical Football prediction is a method used in sports betting, to predict the outcome of football matches by means of statistical tools. The goal of statistical match prediction is to outperform the predictions of bookmakers [citation needed] [dubious – discuss], who use them to set odds on the outcome of football matches.

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