For each signature class, we list the R2 value which is a statistic that measures the goodness of fit.
In Appendix A we discuss in detail the Kolmogorov-Smirnov index, which measures the goodness of fit for a given dataset.
where DL Y D, ι = - log 2 p Y D, ι δ measures the goodness of fit between the data and the model.
Analysis of variance (ANOVA) was used for the statistical analysis of the model, that comprising of the Fisher's F-test, associated probability P(F), determination coefficient R2 and correlation coefficient R that measures the goodness of fit regression model.
We map this support as the weighted summation of two subsequent terms: the first one indicates the goodness of fit of the part with the image data, and the second one measures the goodness of fit of pairs of candidate parts as connected in the pictorial structure model.
where CL y 1 β ̂, γ ̂, B ̂ = - log 2 p y 1 β ̂, γ ̂, B ̂ measures the goodness of fit between the data and the current model, CL β ̂, γ ̂, B ̂ = - log 2 p β ̂ - log 2 p γ ̂ - log 2 p B ̂ represents the model complexity, and p β ̂, p γ ̂, and p B ̂ denote the prior distributions of β ̂, γ ̂, B ̂, e which are the base of the natural logarithm.
COSOPT measures the goodness-of-fit between experimental data and a series of cosine curves of varying phases and period lengths.
Briefly, COSOPT measures the goodness-of-fit between experimental data and a series of cosine curves with varying phases and (user defined) period lengths.
The second factor, j(C; M), considers a target class C and its complement C ¯ and measures the goodness-of-fit of M with relation to class C. It is also called cross-entropy [ 47].
"Stanford students are superb consequentialists — that is, we tend to measure the goodness of actions by their eventual results," he wrote.
Criterion is essential for measuring the goodness of an experimental design.
