Supervised learning competition

Instruction

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(Delete this callout box before handing in your assignment.)

Data description

Describe the data and use a visualization to support your story. (approx. one or two paragraphs)

Code

# your R code to generate the plot here

ggplot(mtcars, aes(x = wt, y = mpg)) +
  geom_point() +
  theme_minimal()

Model description

Briefly describe which models you compare to perform prediction. (approx. two or three paragraphs)

Data transformation and pre-processing

Describe additional pre-processing steps you have used, if any (e.g., dealing with categorical data, scaling). If you do not do any pre-processing, you can leave this section out.

Model comparison

Describe how you compare the methods and why. (approx. two or three paragraphs)

Chosen model

Show which method is best and why. (approx. one paragraph) You are welcome to use tables and plots!

Code

data.frame(
  model       = c("Cool model 1", "Cool model 2"),
  performance = c(1.2, 1.8),
  other       = c(0.5, 0.3),
  notes       = c("Some note", "another note")
)

model	performance	other	notes
Cool model 1	1.2	0.5	Some note
Cool model 2	1.8	0.3	another note

Team member contributions

Write down what each team member contributed to the project.

• Author One: a, b, c
• Author Two: b, c, d
• Author Three: a, b, d