Search results
Results From The WOW.Com Content Network
In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.
The relationship market mainly includes the relationship between the relevant government departments at all levels where the enterprise is located, the relationship with the industry association to which the enterprise belongs, and the relationship with all kinds of public organizations, etc., and the enterprise influence itself cannot directly ...
In economics, the absolute income hypothesis concerns how a consumer divides their disposable income between consumption and saving. [1] It is part of the theory of consumption proposed by economist John Maynard Keynes. The hypothesis was subject to further research in the 1960s and 70s, most notably by American economist James Tobin (1918 ...
A hypothesis is proposed for the statistical relationship between the two data sets, an alternative to an idealized null hypothesis of no relationship between two data sets. Rejecting or disproving the null hypothesis is done using statistical tests that quantify the sense in which the null can be proven false, given the data that are used in ...
The tree using information gain has the same results when using the phi function when calculating the accuracy. When we classify the samples based on the model using information gain we get one true positive, one false positive, zero false negatives, and four true negatives.
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...
Thus, it is often called Euler's phi function or simply the phi function. In 1879, J. J. Sylvester coined the term totient for this function, [14] [15] so it is also referred to as Euler's totient function, the Euler totient, or Euler's totient. [16] Jordan's totient is a generalization of Euler's. The cototient of n is defined as n − φ(n).
The purpose of sales force effectiveness is to increase company revenues through increased customer acquisition, product/service sales, and up-selling/cross-selling additional products and services. The purpose of sales force effectiveness metrics is "to measure the performance of a sales force and of individual salespeople."