Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
This algorithm determines the ranking of the features based on a backward sequential selection method that removes one feature at a time.
Similar(59)
In fact, the iterative sequential selection method used here is almost identical to the Sequential Forward Selection (SFS) method common in the wrapper approach where features are added one by one based on their accumulative classification performance.
A backward variable selection method was used to select variables for multivariate analysis by univariate analysis.
For this analysis, a backward stepwise selection method was used.
A backward conditional selection method was used for variable selection by the model.
Variables with P < 0.1 are included into multiple logistic regression with backward variable selection method.
In the elimination stage, we use a backward feature selection method.
Furthermore, more suitable backward feature selection method needs to be exploited so that the gene clustering and cluster selection processes can be integrated better.
Multivariate (backward stepwise selection method with probability for the removal of 0.10) logistic regression analyses were used to determine the association of variables with 1-year mortality.
We estimate the performance of GE relative to three alternative methods of selecting or combining features that distinguish an epileptic gamma (∼65 95 Hz) oscillation from normal activity: forward sequential feature-selection, backward sequential feature-selection, and genetic programming.
The final model was selected by using the backward selection method in multivariable logistic regression.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com