Why Decision Trees?
As we saw in the last article introducing Decision Trees, decision trees can be used for classification or regression. But the same can be achieved with linear and logistic regression too. They are well tried and tested and are pretty useful in most situations, then why do we need decision trees? There are a few characteristics of Decision Trees that makes them stand out as useful algorithms in specific situations. 1. They are highly interpretable. If a patient falls in the l