Question

One of the methods has the following advantages and disadvantages: computationally efficient; provides predictor importance information and probabilistic interpretation only for classification; can be affected by collinearity between predictor variables. Select the correct method below:

a) Support Vector Machines (SVM)
b) Random Forest
c) Logistic Regression
d) Principal Component Analysis (PCA)

Answer 1

Logistic Regression (c) is the method that has the mentioned advantages and disadvantages.

Step-by-step explanation:

The correct method with the mentioned advantages and disadvantages is Logistic Regression (c).

Logistic Regression is computationally efficient, provides predictor importance information, and has a probabilistic interpretation. However, it can be affected by collinearity between predictor variables, which means that if two or more predictor variables are highly correlated, it can lead to misleading or unstable results.

In contrast, Support Vector Machines (SVMs), Random Forests, and Principal Component Analysis (PCA) do not have all the mentioned advantages and disadvantages.