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between predictors and target vs relationship between predictors and target

Both phrases are correct, but they are used in slightly different contexts. 'Between predictors and target' is a more concise way to refer to the connection between the predictors and the target variable. On the other hand, 'relationship between predictors and target' provides a more detailed description of the connection.

Last updated: March 17, 2024 • 630 views

This phrase is correct and commonly used to describe the connection between predictors and the target variable.

"between predictors and target"

This phrase is a concise way to refer to the relationship between the predictors and the target variable in a statistical or predictive modeling context.

Examples:

  • The model analyzes the relationship between predictors and target.
  • There is a strong correlation between predictors and target variables.
  • These relationships between predictors and target are summarized in a model, which can then be applied to a different data set in which the target values are ...
  • This emphasizes the covariance between predictors and target in the factor estimation step. The important distinction from PLS is that the 3PRF also allows the.
  • The system estimates the real orientation difference between predictors and target θ based on the noisy representation of this orientation difference by the brain ...
  • These relationships between predictors and target are summarized in a model, which can then be applied to a different data set in which the target values are ...

Alternatives:

  • relationship between predictors and target variables
  • connection between predictors and target
  • link between predictors and target
  • association between predictors and target
  • correlation between predictors and target

This phrase is also correct and provides a more detailed description of the connection between predictors and the target variable.

"relationship between predictors and target"

This phrase is suitable when a more elaborate description of the connection between predictors and the target variable is needed.

Examples:

  • The study explores the relationship between predictors and the target variable.
  • Understanding the relationship between predictors and target is crucial for accurate predictions.
  • Is a linear model sufficient for describing the relationship between predictors and target variables? Is it necessary to use a non-linear model in order to set up a ...
  • ... model sufficient to describe the relationship between predictors and target variables, or (2) is it necessary to use a non-linear model in order to set up a model.
  • Nov 22, 2012 ... (Also, if there is no specific relationship between predictors and target as you say, then your classification will most likely perform poorly).
  • May 22, 2014 ... ... best estimate of future revenue • Score acts as regression function, models smooth relationship between predictors and target 0.7 0.6 0.5 0.4 ...

Alternatives:

  • connection between predictors and target variables
  • link between predictors and target
  • association between predictors and target
  • correlation between predictors and target
  • interplay between predictors and target

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