Question

a classifier that can compute using numeric as well as categorical values is

Answer 1

Random forest classifier: An extension of decision tree classifier algorithm that maps the input to the output by learning a function is referred to as random forest classifier.

They can be used to calculate regression and also to classify the values.

The inputs can be numeric, categorical or a combination of both.

The main advantage of random forest classifier is that the dependent variables can be easily identified and their importance can be found from their position in the tree.

Hence, Random forest classifier can be used to compute numeric as well as categorical values.