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This study used a backward sequential elimination algorithm to remove the state at each step with the smallest effect on the regression models.
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Sequential backward elimination (Jain and Zongker 1997).
In this work, the Matthew's Correlation Coefficient (MCC) defined in Equation (7) was used as the selection criterion, and we adopted a sequential backward elimination (or recursive feature elimination) (Webb, 2002) search scheme in this study.
An equally common approach in the wrapper context is that of Sequential Backward Elimination (SBE) where the process starts with all features present and eliminates them one by one again based on the performance of what remains in the feature subset.
A multivariable logistic regression main-effects model was developed, using sequential backward elimination of non-significant variables (based on the model deviance statistic).
SVM-RFE conducts feature selection in a sequential backward elimination manner, which starts with all the features and discards one feature at a time by checking the SVM accuracy.
A Hotelling multivariate T2 statistic was applied in a sequential backward elimination scheme [ 37] to rank the contrast (C1,...,14), size (S1,...,10) and density (D) features based on their discriminating power.
Drinking commercial bottled water, placing barbequed cooked meat back on the same plate used for raw meat, having liver disease, and having any immunosuppressive therapy in the 4-week exposure period were all removed from the final model during the sequential backward elimination procedure.
Backward elimination was performed to eliminate nonstatistically significant variables.
The classifier prunes the graphs of insignificant edges via a backward edge elimination procedure.
I performed model selection using backward stepwise elimination.
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