Question

Explain what are the benefits of decision trees? and why don’t many predictive modelers prefer to choose a decision tree as their final model? In order to overcome the drawbacks of trees models, what kinds of methods would you employ and why?

Answer 1

Decision trees have variety of benefits as a sensible, helpful social control tool.

- Comprehensive- a big advantage of a call tree is that it forces the thought of all attainable outcomes of a call and traces every path to a conclusion. It creates a comprehensive analysis of the implications on every branch and identifies call nodes that require any analysis.

- Specific- call trees assign specific values to every drawback, call path and outcome. victimization financial values makes prices and advantages express. This approach identifies the relevant call ways, reduces uncertainty, clears up ambiguity and clarifies the monetary consequences of varied courses of action.When factual data isn't offered, call trees use possibilities for conditions to stay decisions in perspective with one another for simple comparisons.

- simple to Use- call trees are simple to use and make a case for with basic math, no advanced formulas. They gift visually all of the choice alternatives for fast comparisons during a format that's simple to grasp with solely temporary explanations.They are intuitive and follow a similar pattern of thinking that humans use once creating selections.

Decision Trees are wonderful tools for serving to you to settle on between many courses of action. they supply a extremely effective structure inside that you'll be able to lay out choices and investigate the attainable outcomes of selecting those choices. They conjointly assist you to create a balanced image of the risks and rewards related to every attainable course of action.

The dependability of {the data|the knowledge|the data} within the call tree depends on feeding the precise internal and external information at the onset. Even a little amendment in input file will every now and then, cause massive changes within the tree. dynamical variables, excluding duplication data, or sterilization the sequence midway will result in major changes and probably} possibly need redrawing the tree.
Another elementary flaw of {the call|the choice} tree analysis is that the choices contained within the decision tree are supported expectations, and irrational expectations will result in flaws and errors within the call tree. though the choice tree follows a natural course of events by tracing relationships between events, it should not be attainable to arrange for all contingencies that arise from a call, and such oversights will result in dangerous selections.