Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Continuing the example above, suppose a person has age = x1 = 3.5, income = x2 = 5.2 and height = x3 = 6.7 where the predictor x-values have been normalized so they roughly have the same scale (a ...

If the signal to noise ratio is low (it is a ‘hard’ problem) logistic regression is likely to perform best. In technical terms, if the AUC of the best model is below 0.8, ...