Question

This passge below require analsyis and breakdown

A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements. (Brid, 2018) I choose the tree decision and I chose to use it on picking an outfit for work. In this model it’s much easier to have an understanding of the changes that are made if any. I have chosen this method as this is very simple to understand and we can add no of nodes to our decision if something we need to change very easily as compared to any mathematical model. You can refer to this tree shown below to make a decision.

critically analyze the passage

Answer 1

A decision tree contains two parts one is its leave and the decision node. The leaves are basically the final outcome whereas the nodes are denoted as the data split. It is basically used in Statistical modelling for Machine Learning.

In decision tree there are two outcomes as depicted as Leaves, one of these two will definitely occur depending on the data and the test.

Please find below the decision tree for a weather forecast. The first one the type of weather, how the weather is, there are three options. It can be Sunny, Cloudy or Rainy. If it’s is Sunny then we need to check on the level of humidity whether it’s high or low. If the Weather is cloudy then the outcome is only one. If there is raining then there might have a wind, we need to check if there is any wind or not. So the decision tree are working by these ways. It have more than one outcome, if one satisfies then the further details need to check. The check will run until the break or the exit of the loop

                                                

					Weather
			Sunny		Cloudy		Rainy
		Humididity
	High		Normal
	No		Yes					Wind
					Yes
							No		Yes