The Decision Tree exploration engine is use for assignment such like classify database or predicting result: These decision tree be should used when your mission to is assigning you’re records to some ample categories. They helps out you with rule that are easy to comprehend; and those which can also helps you pinpointed the bestest fields in case of future involving in project.

Their are equal amounts of advantage and/or disadvantage here. In the bright sides, its easiest to comprehend and to generate rule, and it make life yours a hole lot easiest when problem get degrade in difficulty. On other hand, its not well at handle continuously variables. Nevertheless, be able to works with mass scale database files with just this algorithm was in reputable itself.

The Decision Tree exploration engine is used for assignments such as classifying databases or predicting results. It should be used when your task is to assign your records to multiple categories. Moreover, its rules are easy to comprehend and it enables you to pinpoint the best fields for further examination.

There are equal amounts of advantages and disadvantages. For example, the advantages are that it’s easy to comprehend, it’s easy to generate rules, and it makes your life a whole lot easier when the degree of difficulty increases. On the other hand, it’s not great at handling continuous variables. Nevertheless, the algorithm is highly regarded because it’s able to work with mass scale database files.