identified significant variables vs identified significant predictors

Both phrases are correct, but they are used in different contexts. 'Identified significant variables' is commonly used in statistical analysis when referring to the factors that have a significant impact on the outcome. On the other hand, 'identified significant predictors' is more commonly used in predictive modeling or machine learning contexts to refer to the variables that are used to predict an outcome.

Last updated: March 17, 2024 • 566 views

identified significant variables

This phrase is correct and commonly used in statistical analysis.

This phrase is used in statistical analysis to refer to the factors that have a significant impact on the outcome being studied.

Examples:

The study identified significant variables that influenced the results.
Researchers identified significant variables affecting the experiment.

Show examples from the web [+]

Stepwise regression identified significant variables in the full set. Regression models and neural networks were then tested using data sets with only the ...
The identified significant variables or behaviors, including the addition of the variable, attending association meetings, for dollar value of awards are described ...
Once you have identified significant variables from the Selected Variable Importance graphic above, you're now able to dive deeper and determine what specific ...
identified significant variables, and has begun investigating possible additional modifications to existing bowling ball, lane conditioner, cleaner and lane ...

Alternatives:

identified important factors
identified key variables
identified crucial elements
identified relevant parameters
identified essential components

identified significant predictors

This phrase is correct and commonly used in predictive modeling or machine learning contexts.

This phrase is used in predictive modeling or machine learning to refer to the variables that are used to predict an outcome.

Examples:

The model identified significant predictors of customer churn.
The algorithm identified significant predictors of stock price movements.

Show examples from the web [+]

Multivariate logistic regression identified significant predictors for appropriate use of interpreters. The strongest association with appropriately using interpreters ...
A multivariable logistic regression analysis identified significant predictors of headache recurrence (return to moderate/severe pain intensity within 22 hours of ...
Logistic regression identified significant predictors of stroke. RESULTS: The incidence of stroke was 1.5%. The regression model significantly predicted the ...
Using survival analysis, we identified significant predictors of the waiting time to conception: wife's age (years), husband's age (< 35, 35-49, > 49 years), marital ...

Alternatives:

identified important predictors
identified key predictors
identified crucial predictors
identified relevant predictors
identified essential predictors

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identified significant variables vs identified significant predictors