Question

Which of the following machine learning algorithms can be used for inputting missing values of both categorical and continuous variables?

Answer 1

K-means clustering Linear regression K-NN (k-nearest neighbor) Decision trees The K nearest neighbor algorithm can be used because it can compute the nearest neighbor and if it doesn't have a value, it just computes the nearest neighbor based on all the other features. When you're dealing with K-means clustering or linear regression, you need to do that in your pre-processing, otherwise, they'll crash. Decision trees also have the same problem, although there is some variance.