Generate a neural network model for classifying income based on the other variables. Which variables, in order of importance, are identified as most important for classifying income?

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Generate a neural network model for classifying income based on the other variables. Which variables, in order of importance, are identified as most important for classifying income?
December 18, 2023 Comments Off on Generate a neural network model for classifying income based on the other variables. Which variables, in order of importance, are identified as most important for classifying income? Education, Homework-help, Professional Service, sample questions Assignment-help
Words: 250
Pages: 1
Subject: Education, Homework-help, Professional Service, sample questions
Topics: Neural network model

Assignment Question

Part 1 Use R to solve the following problems from the textbook when appropriate. Refer to RZONE in the textbook for possible hints for R commands. Furthermore, you may need to consult the online documentation of the relevant R packages. Submit a word document with your solutions. For the following exercises, use the attached adult data set. Generate a neural network model for classifying income based on the other variables. Which variables, in order of importance, are identified as most important for classifying income? Run a neural network model predicting income based only on age. Use the default settings and make sure that there is one hidden layer with one neuron. What kind of classification may the simple network from question 3 implement? Can you provide a summary description of the knowledge about the data the network encodes?

part 2 Use R to solve the following problems from the textbook when appropriate. Refer to RZONE in the textbook for possible hints for R commands. Furthermore, you may need to consult the online documentation of the relevant R packages. Submit a document with your solutions. For the following exercises, use the attached cereals data set. Make sure the data are normalized. Normalize the data. Using all the variables except name and rating, run the k-means algorithm with k=5 to identify clusters within data. Develop cluster profiles that clearly describe the characteristics of the cereals within the clusters. Rerun k-means with k=3. Which clustering solution do you prefer, and why?

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