Instructions
For this homework, you should create a new folder in your homework
directory. Call it HW8 or something similar that you can
keep track of. Download the homework markdown template file
Student_HW_template.Rmd from the course webpage, and put a
copy in this folder. Rename it something like
HW8_YourName.Rmd. This markdown document will be where you
will answer each of the questions below.
The Assignment
SVMs: Classification
We’re going to load again the breast cancer classification data set:
patients <- read.csv("breast-cancer.csv") %>%
clean_names() %>%
mutate(
class = factor(class),
bland_chromatin = as.double(bland_chromatin),
single_epithelial_cell_size = as.double(single_epithelial_cell_size)
)Exercise 1. Copy in your code to create a training and test set. Also create a 10 fold CV set.
Exercise 2. Create a recipe to that predicts
class by all other variables. Make sure to normalize the
data.
Exercise 3. Create a model specifications for
nearest_neighbor (with number of neighbors set to tune),
svm_poly (tune the cost and
degree), and svm_rbf (tune cost
and `rbf_sigma). Add these and your recipe to a workflow
set.
Exercise 4. Use workflow_map to tune
the models. Use autoplot to display the results.
Exercise 5. Pick the best performing model and parameter set. Fit this model and report your test set metrics. Provide at least one plot or chart to analyze the performance of your model.
Exercise 6. Take a look at your knitted document. Make sure that you have a title and your name, that your formatting looks neat and organized, and that your code is running properly.
Submitting HW
When you’ve successfully answered all the questions, knit your document and submit on Canvas.