- Read/ annotate: Recipe #10. You can refer back to this document to help you at any point during this lab activity.
- Note: do your best to employ what you've learned and use other existing resources (R documentation, web searches, etc.).
- Gain experience working with coding strategies to prepare, feature engineer, train and test a predictive model, and evaluate results from a predictive data analysis.
- Practice transforming datasets into new object formats and visualizing relationships
- Implement organizational strategies for organizing and reporting results in a reproducible fashion.
In this lab we will be creating a predictive model for author detection. Specifically we will try to correctly predict the author of the once disputed Federalist papers.
This lab is different than other labs, however, in that the code has been provided in the file lab_10.Rmd. You task will be to add the relevant prose to describe the steps as if it were part of your research project.
-
Change the
author: "<Your Name Here>"line in the front matter to reflect your name. -
Add descriptive prose to the
lab.Rmdscript to describe each of the code chunks that implement coding steps for producing this analysis and their output results. -
As always, provide a self-assessment of your progress in this lab.
Some questions to consider:
- What did you learn?
- What was most/ least challenging?
- What resources did you consult?
- What more would you like to know about?
- To prepare your lab report for submission on Canvas you will need to Knit your R Markdown document to PDF or Word.
- Download this file to your computer.
- Go to the Canvas submission page for Lab #10 and submit your PDF/Word document as a 'File Upload'. Add any comments you would like to pass on to me about the lab in the 'Comments...' box in Canvas.