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I've a regression issue and I want to convert a bunch of categorical variables into dummy facts, that may crank out above 200 new columns. Should really I do the aspect range just before this phase or just after this stage?
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Owning irrelevant attributes in the data can decrease the accuracy of many models, In particular linear algorithms like linear and logistic regression.
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My assistance is to try every thing you are able to consider and find out what provides the most effective results on the validation dataset.
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