The phrase "a set of predictor" is not correct in English.
It should be "a set of predictors." You can use it when referring to multiple variables or features that are used to predict an outcome in statistical or machine learning contexts.
Example: "In our analysis, we identified a set of predictors that significantly influence the target variable."
Alternatives: "a group of predictors" or "a collection of predictors."
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.
WofE involves the estimation of a response variable (favourability for certain habitat occurrence) and a set of predictor variables (e.g. GIS layers containing environmental variables).
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.
Linear regression is a statistical tool used to model the relation between a set of predictor variables and a response variable.
It is useful for predicting the presence or absence of a characteristic or outcome based on values of a set of predictor variables.
A set of predictors undertake the responsibility of estimating the load of each resource.
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.
They claim that I z "provides an upper bound on the explanatory power (population R 2) of multiple regression models in which the ordered categorical variable is regressed against a set of predictors".
