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the model predictors vs model predictors

Both phrases are correct, but they're used in different contexts. "The model predictors" is used to refer to specific predictors within a particular model, while "model predictors" more generally refers to predictors used in modeling.
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Explained by Miss E.
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Last updated: June 21, 2024 • 592 views

This phrase is correct and commonly used when referring to specific predictors within a particular model.

"the model predictors"

This phrase is used when you want to specify that the predictors are related to a particular model. It is important to include the definite article 'the' to indicate this specificity.

Examples:

  • The model predictors showed a strong correlation with the outcome variable.
  • I analyzed the model predictors to understand their impact on the results.
  • Vars is the number of predictors in the model. Predictors that are in the model are identified by an X. In this example, it isn't obvious which model fits the data ...
  • Jun 5, 2012 ... Vars indicates the number of predictors in the model. Predictors that are present in the model are indicated by an X. Minitab displays the two ...
  • Use setmodel to update the model predictors and model coefficients in the creditscorecard object. The ModelPredictors input argument does not explicitly ...
  • Select the OK button to add the dynamic regressor to the model predictors list. In the ARIMA Model Specification window, the Predictors list should now contain.

Alternatives:

  • the predictors of the model
  • the predictors in the model
  • the predictors used in the model
  • the predictors selected by the model
  • the model's predictors

This phrase is correct and commonly used in a more general sense to describe predictors used in modeling.

"model predictors"

This phrase is used when discussing predictors in a broader context, without specifying a particular model. It is a more general way of referring to predictors used in statistical or machine learning models.

Examples:

  • Model predictors play a crucial role in determining the model's performance.
  • Understanding the impact of model predictors is essential for accurate predictions.
  • Select the OK button to add the dynamic regressor to the model predictors list. In the ARIMA Model Specification window, the Predictors list should now contain.
  • Quality of life model: predictors of quality of life among sick older adults. Halvorsrud L(1), Kirkevold M, Diseth A, Kalfoss M. Author information: (1) Diakonova ...
  • West Indian Med J. 2008 Nov;57(5):476-81. Health determinants: using secondary data to model predictors of well-being of Jamaicans. Bourne PA(1).
  • Use setmodel to update the model predictors and model coefficients in the creditscorecard object. The ModelPredictors input argument does not explicitly ...

Alternatives:

  • predictors in models
  • predictor variables
  • model input variables
  • model features
  • model attributes

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