The phrase "a set of predictors" is correct and usable in written English.
You can use it in contexts related to statistics, data analysis, or machine learning, where you refer to multiple variables that are used to predict an outcome.
Example: "In our study, we analyzed a set of predictors to determine the factors influencing consumer behavior."
Alternatives: "a group of predictors" or "a collection of predictors".
A set of predictors undertake the responsibility of estimating the load of each resource.
However, linear discriminant analysis makes it possible to classify patients with different conditions (e.g., hyperkalemia) on the basis of a set of predictors (e.g., multiple blood parameters).
The Multivariate Adaptive Regression Splines (MARS) were introduced for fitting the relationship between a set of predictors and dependent variables (Friedman 1991).
A CDEN model allows users to estimate parameters of a specified probability density function conditioned upon values of a set of predictors using the MLP architecture.
Therefore, MWD alone would not be a relevant predictor of restoration on such soil and further investigations should be carried out to identify a set of predictors useful for indicating the restoration of degraded soils on ultramafic substrates.
Once the distortion has been identified, the input vector is forwarded to the corresponding mapping function, taken out of a set of predictors modeled by exploiting CBP networks [54].
A probabilistic neural network (PNN) was trained by using a set of predictor attributes derived from a multiple regression analysis.
Quantile regression models the relation between a set of predictor variables and specific percentiles (or quantiles) of the response variable.
Regarding the predictor variables, we select as simple and straightforward a set of predictor variables as possible, relying only upon information already available to a DNO.
It is useful for predicting the presence or absence of a characteristic or outcome based on values of a set of predictor variables.
Linear regression is a statistical tool used to model the relation between a set of predictor variables and a response variable.
