Use if you are answering a "True/False" style question.
ln(p1−p)=β0+β1x1+...+βnxnl n open paren the fraction with numerator p and denominator 1 minus p end-fraction close paren equals beta sub 0 plus beta sub 1 x sub 1 plus point point point plus beta sub n x sub n Usually, if the predicted probability is ≥0.5is greater than or equal to 0.5 , it’s classified as "1"; otherwise, it's "0." 2. Multinomial Logistic Regression Logistic Regression: Binary and Multinomial
Use if you are choosing between several distinct labels where one choice doesn't "outrank" another. Use if you are answering a "True/False" style question