"binary answers" is a correct and usable phrase in written English.
You can use it when referring to two possible answers or responses to a question. For example, "Which do you prefer, apples or oranges? Give a binary answer."
Again, for simplicity, we assume binary answers to a query on each region: is there a crowd here or not?
Items that have binary answers (e.g. "color identification" on the visual skill subtest) are scored only with 0 or 1. Raw scores are obtained in each subtest by the sum of the points scored in its items and, by the sum of subtest scores the total score of the test is obtained.
In a more recent paper, Lemieux (2014) used the self-reported answers in the 2005 National Graduate Survey with about 10,000 university graduates to identify whether the person works in a related job and then calculated the average of these binary answers in each of 90 cells (10 fields of study and 9 occupations).
He used the self-reported answers in 2005 National Graduate Survey of about 10,000 university graduates to identify whether the person works in a related job and then calculated the average of these binary answers in each of 90 cells (10 fields of study and 9 occupations).
You can't give binary answers to these kinds of questions because most of us are different in different situations.
Binary answers (yes/no) were collected discretely.
"You can't come up with a single binary answer to that question".
It's possible to design tests for many of these kinds of sex, but none of them provide a convenient 'male or female' binary answer.
CAC comprises double rule vectors and a decision function, the structure of which has two layers; the first layer is employed to evolve an input pattern into feature space and the other interprets the patterns in feature space as binary answer through the decision function.
Typically in crime surveys, an individual might be asked whether a region is secure or not, so a binary answer is usually recorded.
There is a binary answer to the question "Will an EV work for me?", and while before, the answer for most consumers was probably no, it is now probably yes.
