The phrase "a popular selection" is correct and usable in written English.
It can be used to describe an item or choice that is favored or frequently chosen by many people.
Example: "The restaurant's special of the day is a popular selection among customers, often leading to long wait times."
Alternatives: "a favored choice" or "a well-liked option."
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)—tournament selection we highlight a previously-unknown source of inefficiency.
On a scale of "Definitely Yes" to "Definitely No," I opted for "Not Sure," which one imagines is a popular selection.
The Tampa native played high school and college football in his home state, so he should be a popular selection among Buccaneers fans.
He would be a popular selection among Hispanic officials, who have applauded his work as president of the National Association of Latino Elected Officials.
Croatia will be a popular selection when people are asked for their dark horses to win the tournament, based on the undoubted individual talent in the squad.
The weights for the Aintree race were fixed last month, so the handicapper is prevented from adding anything to his burden to reflect this victory and he seems sure to be a popular selection on 9 April.
The physical activity domain was a popular choice for goal selection, and in general participants could readily understand the potential value of increasing physical activity.
The degrees of the polynomials were selected using a popular model selection method, the Akaike Information Criterion AICC) [ 7].
In this paper, we formulate GRN inference as a sparse regression problem and investigate the performance of a popular feature selection method, least angle regression (LARS) combined with stability selection, for that purpose.
In this paper, we investigate the performance of a popular feature selection method, least angle regression (LARS) [ 24] combined with stability selection [ 25, 26], for GRN inference.
The LASSO was originally proposed for linear regression models and has become a popular model selection and shrinkage estimation method.
