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CSE6242 / CX4242: Data and Visual Analytics, Spring 2014 Prepared by Robert Paint, Long Tran, Polo Chat Homework 4, Due: April 25, 2014, 11:55PM Task 1: Decision Trees (50 points) In this task, you
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How to fill out task 1 decision trees
How to fill out task 1 decision trees:
01
Start by understanding the problem or decision you need to make. Identify the variables or factors that affect the decision and the possible outcomes.
02
Gather the necessary data or information related to the variables. This may involve conducting research, collecting data from various sources, or analyzing existing data.
03
Once you have the data, organize it in a structured format suitable for decision tree analysis. You can use spreadsheets or specialized software for this purpose.
04
Begin constructing the decision tree by identifying the initial decision or event you need to make. This will typically be represented by a square or rectangle in the decision tree diagram.
05
Add branches or arcs to represent the possible outcomes of the initial decision or event. Label each branch with the possible outcome and assign a probability or likelihood to each outcome based on the available data.
06
Continue adding branches for subsequent decisions or events that depend on the previous outcomes. Label each branch with the decision or event and assign probabilities or outcomes accordingly.
07
Once all the branches are added, assign values or utilities to each outcome based on their desirability or effectiveness. This can be done using quantitative measures or subjective assessments.
08
Calculate the expected values or utilities for each possible path in the decision tree by multiplying the probabilities and outcomes along that path.
09
Evaluate the decision tree by analyzing the expected values or utilities. This will help in determining the optimal decision or course of action based on the available information and probabilities.
10
Review and refine the decision tree as needed. Update the data or probabilities if new information becomes available, and reassess the decision based on the updated tree.
Who needs task 1 decision trees?
01
Individuals or teams in decision-making roles: Decision trees are beneficial for anyone tasked with making important decisions. This could include business managers, project managers, analysts, researchers, or even individuals trying to make personal decisions.
02
Organizations or businesses: Decision trees are widely used in industries and organizations to analyze complex problems, model different scenarios, and aid in strategic decision-making. They can be applied in various fields such as finance, healthcare, marketing, manufacturing, and many others.
03
Students or academic researchers: Decision trees are also used in academic settings for research purposes or to solve problem-solving exercises. Students studying subjects like statistics, operations research, or data analysis often encounter decision tree analysis as a valuable tool.
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What is task 1 decision trees?
Task 1 decision trees is a method used to visualize and analyze the outcomes of decisions.
Who is required to file task 1 decision trees?
Any individual or organization that needs to make decisions based on data analysis may be required to file task 1 decision trees.
How to fill out task 1 decision trees?
Task 1 decision trees are typically filled out by listing the decision points, possible outcomes, and the probabilities of each outcome.
What is the purpose of task 1 decision trees?
The purpose of task 1 decision trees is to help decision-makers evaluate the potential outcomes of different choices and make informed decisions.
What information must be reported on task 1 decision trees?
Task 1 decision trees should include decision points, possible outcomes, and probabilities associated with each outcome.
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