suppose you are trying to classify a variable where 96%of its observations equal 0 and only 4% equal 1. you run a logistic reg-ression, and the classification table shows that 97% of the classifications are correct. why might this large percentage still not be cause for celebration?

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15-12-2022
Mathematics

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suppose you are trying to classify a variable where 96%of its observations equal 0 and only 4% equal 1. you run a logistic reg-ression, and the classification table shows that 97% of the classifications are correct. why might this large percentage still not be cause for celebration?

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contexto38 contexto38 · Answer 1 · 2022-12-20T13:27:43+01:00

The large percentage obtained above will still not be a cause for celebration, because the observations demand a higher precision in the calculation results being obtained after running a logistic reg-session.

A precise calculation can be referred to or considered as a type of calculation, wherein the final results obtained are completely true and correct. Unlike approximate results, there is no scope of true and fair results in a precise calculation. Usually, rounding-off shall be avoided to obtained precise solutions at the end.

Learn more about precise calculations here:

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