With backward elimination, we start with all the variables. Iteratively, we need to test the elimination of each of the variables. The variable, once again, is deleted with the predefined threshold or criteria. The variables that have the least significant impact on the model's accuracy are eliminated one by one in this method.
It is also possible to utilize both methods together for faster parameter tuning.
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