Requires knowledge of statistics and code

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M2.pdf

Assignment Description

Many people forage for mushrooms and sell them to restaurants or use them for their

own consumption. These are experts who know their mushroom. However, as a novice,

it is important to be able to spot a poisonous mushroom.

In this assignment, you will use the code and data set provided to mine the data using

the methods presented in this module. You will document in a report the results of each

step of the mining process, analyze and interpret the results. Suggest the characteristics

to use when determining if a mushroom is safe to eat. Make recommendations for

additional analysis and variables to examine to build other classifications such as use

of the mushrooms that are not poisonous.

Decision Tree Mushrooms.txt Download Decision Tree Mushrooms.txt In the

attachment

mushrooms.xlsx Download mushrooms.xlsx In the attachment

Instructions

Your report should include the following:

All programming done in R.

Code walk through: in this section provide a step by step explanation of how the code

is interacting with and/or transforming the data. Provide examples from the output to

support your explanations.

Analysis: Based on the output, analyze the data and the relationships revealed about the

variables of interest. Explains the insights provided by the output. Use visualizations to

support your analysis.

Interpretation and Recommendations: Interpret the results of your analysis and explain

what the results mean for the data owner. Provide recommendations for actions to be

taken based on your interpretation. Support those with the data. Explain why and what

explicit variables you suggest incorporating. For example, median income by city and

state from the census.gov website might be useful for examining home ownership.

Your report should be a 5 pages Word document. Include an appendix of visualizations

and code segments as needed. The report format should follow APA formatting (12pt,

Times New Roman font).