The is sometimes called multi-class logistic regression. But in my opinion, using an alternative classification technique, a neural network classifier, is a better option. Logistic regression can ...

Logistic regression can be adapted for multi-class classification where there are three or more possible prediction values. This can be done either by modifying the underlying code directly, or ...

Although, in Logistic Regression, modelling procedures are more complex and time-consuming, the results are more statistically robust. Moreover, Logistic Regression has the capability of associating ...

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...