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  2. Evaluation measures (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Evaluation_measures...

    Indexing and classification methods to assist with information retrieval have a long history dating back to the earliest libraries and collections however systematic evaluation of their effectiveness began in earnest in the 1950s with the rapid expansion in research production across military, government and education and the introduction of computerised catalogues.

  3. Hosmer–Lemeshow test - Wikipedia

    en.wikipedia.org/wiki/Hosmer–Lemeshow_test

    6. Calculate the p-value Compare the computed Hosmer–Lemeshow statistic to a chi-squared distribution with Q − 2 degrees of freedom to calculate the p-value. There are Q = 10 groups in the caffeine example, giving 10 – 2 = 8 degrees of freedom. The p-value for a chi-squared statistic of 17.103 with df = 8 is p = 0.029. The p-value is ...

  4. Scoring rule - Wikipedia

    en.wikipedia.org/wiki/Scoring_rule

    The goal of a forecaster is to maximize the score and for the score to be as large as possible, and −0.22 is indeed larger than −1.6. If one treats the truth or falsity of the prediction as a variable x with value 1 or 0 respectively, and the expressed probability as p , then one can write the logarithmic scoring rule as x ln( p ) + (1 − ...

  5. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    Since the probabilities must satisfy p 1 + ⋅⋅⋅ + p k = 1, it is natural to interpret E[X] as a weighted average of the x i values, with weights given by their probabilities p i. In the special case that all possible outcomes are equiprobable (that is, p 1 = ⋅⋅⋅ = p k), the weighted average is given by the standard average. In the ...

  6. Analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_variance

    One way to do that is to explain the distribution of weights by dividing the dog population into groups based on those characteristics. A successful grouping will split dogs such that (a) each group has a low variance of dog weights (meaning the group is relatively homogeneous) and (b) the mean of each group is distinct (if two groups have the ...

  7. Akaike information criterion - Wikipedia

    en.wikipedia.org/wiki/Akaike_information_criterion

    To apply AIC in practice, we start with a set of candidate models, and then find the models' corresponding AIC values. There will almost always be information lost due to using a candidate model to represent the "true model," i.e. the process that generated the data.

  8. Atwater system - Wikipedia

    en.wikipedia.org/wiki/Atwater_system

    The Atwater system, [1] named after Wilbur Olin Atwater, or derivatives of this system are used for the calculation of the available energy of foods.The system was developed largely from the experimental studies of Atwater and his colleagues in the later part of the 19th century and the early years of the 20th at Wesleyan University in Middletown, Connecticut.

  9. Price elasticity of demand - Wikipedia

    en.wikipedia.org/wiki/Price_elasticity_of_demand

    When the price elasticity of demand for a good is perfectly inelastic (E d = 0), changes in the price do not affect the quantity demanded for the good; raising prices will always cause total revenue to increase. Goods necessary to survival can be classified here; a rational person will be willing to pay anything for a good if the alternative is ...

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