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Relative change. In any quantitative science, the terms relative change and relative difference are used to compare two quantities while taking into account the "sizes" of the things being compared, i.e. dividing by a standard or reference or starting value. [1] The comparison is expressed as a ratio and is a unitless number.
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [2]
v. t. e. In mathematics, economics, and social choice theory, the highest averages method, also called the divisor method, [1] is an apportionment algorithm most well-known for its common use in proportional representation. Divisor algorithms seek to fairly divide a legislature between several groups, such as political parties or states.
In the first formula, if one of the values is fixed (let's say x = 5), then the largest relative difference is for y = -5 (d r = 2), whereas, e.g., y = -10 gives d r = 1.5 (the same as y = 1.25) The last formula (with the average of the absolute values) will always give 2 if x and y have different signs.
The Spearman correlation coefficient is defined as the Pearson correlation coefficient between the rank variables. [6] For a sample of size n, the n raw scores are converted to ranks , and is computed as. where. denotes the usual Pearson correlation coefficient, but applied to the rank variables, is the covariance of the rank variables, and are ...
Common technical definition. Accuracy is the proximity of measurement results to the accepted value; precision is the degree to which repeated (or reproducible) measurements under unchanged conditions show the same results. In the fields of science and engineering, the accuracy of a measurement system is the degree of closeness of measurements ...
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Cohen's kappa. Cohen's kappa coefficient ( κ, lowercase Greek kappa) is a statistic that is used to measure inter-rater reliability (and also intra-rater reliability) for qualitative (categorical) items. [1] It is generally thought to be a more robust measure than simple percent agreement calculation, as κ takes into account the possibility ...