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H HOMEWORK 2 NAME HERE WISC ID HERE Instructions: You can choose any programming language, as long as you implement the algorithm from scratch (e.g., do not use learn or any other libraries decision
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How to fill out a simple decision tree

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How to fill out a simple decision tree

01
Start by defining the goal or problem you want to address with the decision tree.
02
Identify the main criteria or factors that will influence the decision.
03
Create branches for each possible outcome or decision that could be made.
04
Assign probabilities or weights to each branch based on the likelihood of that outcome.
05
Calculate the expected value for each decision by multiplying the probability of each branch by the value associated with that outcome.
06
Choose the decision with the highest expected value as the optimal decision.

Who needs a simple decision tree?

01
Anyone facing a complex decision that involves multiple factors and uncertainties can benefit from using a simple decision tree.
02
Decision makers in business, healthcare, finance, project management, and other fields often use decision trees to help make informed choices.
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A simple decision tree is a visual representation of a decision-making process that shows the possible outcomes of choosing different options.
Any individual or organization that needs to make a decision based on multiple factors and wants to have a clear understanding of the possible outcomes.
To fill out a simple decision tree, one must first identify the decision to be made, list the possible options, determine the factors that influence the decision, assign probabilities to each outcome, and calculate the expected value of each option.
The purpose of a simple decision tree is to help individuals or organizations make informed decisions by providing a visual representation of the potential outcomes and associated probabilities.
The information that must be reported on a simple decision tree includes the decision to be made, the possible options, the factors influencing the decision, the probabilities of each outcome, and the expected value of each option.
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