Could we train logistic regression and random forest models
Problem
Could we train logistic regression and random forest models by one-hot encoding the response data instead, being careful to specify that the drop parameter of the OneHotEncoder class is set to 'first'? Why or why not?
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Could we train logistic regression and random forest models by one-hot encoding the response data instead, being careful to specify that the drop parameter of t
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