Expert Systems With Applications - Statistics Assignment Help

Assignment Task

In this task, you will explore the factorial method of experimentation for fine-tuning the parameter of the random forest algorithm. Your task is to replicate the result of Gustavo et al. (2018). This Paper is available on BB for your reference.

Questions

1. Present essential components of the factorial experiment presented in Gustavo et al. (2018) Section 3.2, using any kind of DOE diagram. [A well-labelled diagram]
2. Explain how basic principles of design of experiments are followed here. [<100>
3. Perform experiments to reproduce the results in Table 3. Your results may differ marginally due to simulations. In your submission, specify the design used and its full aliasing structure, include a figure to illustrate the simulated data, results of the analysis, interpretation and limitations. [Max one page and a reproducible RMarkdown submitted separately]
4. Explain the results presented in Tables 4, 5, 6 and 8 of Gustavo et al. (2018) by filling in the table below. No analysis is required as a response to this question.

5. You are a data scientist working for an IT consultant who refers you to a collection of emails classified as spam (1) or not (0) along with 57 features describing the characteristics of the mail for model evaluation base. You decide to use the random forest method. What parameter settings would you use here? [Max one page, with appropriate justification]
    
6. Recommend an alternative approach for finding the optimal set of parameters of the random forest algorithm.

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