binary variable वाक्य
उदाहरण वाक्य
मोबाइल
- Regression analysis on predicted outcomes that are binary variables is accomplished through logistic regression, probit regression or a related type of discrete choice model.
- In such systems there are no events, but input and output actions are binary variables and operating system is working in the scanning mode.
- W Ursae Majoris is the prototype of a class of contact binary variable stars, and ranges between 7.75 m and 8.48 m.
- What is needed is a way to convert a binary variable into a continuous one that can take on any real value ( negative or positive ).
- UV Ceti is an unusual binary variable star . 8.7 light-years from Earth, the system consists of two red dwarfs . both of magnitude 13.
- A categorical variable that can take on exactly two values is termed a binary variable or "'dichotomous variable "'; an important special case is the Bernoulli variable.
- Thus, a pattern recognition system scanning for implications of this kind would find them at the binary variable resolution, but would fail to find them at the higher quaternary variable resolution.
- It is an eclipsing binary variable star, dropping in brightness by 0.7 magnitudes every 4 days . The system is around a thousand light years away in the Auriga OB1 stellar association.
- "' Board puzzles with algebra of binary variables "'ask players to locate the hidden objects based on a set of clue cells and their neighbors marked as variables ( unknowns ).
- As a result, the term " categorical variable " is often reserved for cases with 3 or more outcomes, sometimes termed a " multi-way " variable in opposition to a binary variable.
- One of the most powerful formulations uses binary variables to represent the presence of a rotamer and edges in the final solution, and constraints the solution to have exactly one rotamer for each residue and one pairwise interaction for each pair of residues:
- Now, we must make the central assumption of the piling-up lemma : the binary variables we are dealing with are "'independent "'; that is, the state of one has no effect on the state of any of the others.
- When used in the constraints themselves, one of the many uses of Big M, for example, refers to ensuring equality of variables only when a certain binary variable takes on one value, but to leave the variables " open " if the binary variable takes on its opposite value.
- When used in the constraints themselves, one of the many uses of Big M, for example, refers to ensuring equality of variables only when a certain binary variable takes on one value, but to leave the variables " open " if the binary variable takes on its opposite value.
- Consider a standard table showing the association between two binary variables with frequencies a = true positives = 49005929, b = false positives = 50994071, c = false negatives = 50994071 and d = true negatives = 849005929 . In this case the odds ratio ( OR ) is equal to 16 and the relative risk ( RR ) is equal to 8, 65.
- This equation clearly has the same "'form "'as the ( blue ) equation expressing the mutual information between the feature set and the category variable; the difference is that the sum \ textstyle \ sum _ { f _ i \ in F } in the " category utility " equation runs over independent binary variables F = \ { f _ i \ }, \ i = 1 \ ldots n, whereas the sum \ textstyle \ sum _ { v _ i \ in F _ a } in the mutual information runs over " values " of the single m ^ n-ary variable F _ a.
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