Question

When would you employ logistic regression rather than discriminant analysis? What are the advantages and disadvantages of this decision?

Answer 1

Answer:

We would utilize calculated regression instead of the discriminant investigation when the assumptions  of discriminant examination are not met and when the quantity of classifications of the response variable is just two.

Now to write the advantages and disadvantages of this decision:

Disadvantages:

• In real world the assumption  of directly between the independent variables and the dependent variables is not met.
• On the off chance that the quantity of observations are lesser than the quantity of features then logistic regression may lead to overfit.

Advantages:

• Logistic Regression not just gives a measure of how relevant a predictor is but also its direction of association.
• Logistic Regression is simpler to implement,interpret and very effecient to train.
• Logistic regression performs well when the dataset is linearly separable.