Slides from Lab 5 can be found here: lab5_slides.pdf

Demonstration of learning trees and displaying them as pdfs with
scikit-learn: tree_display.py

(also has an example of imputing missing values with the mean of
the population).

Outputs are written as .dot files which can be written to pdf
with the following command:

*dot -Tpdf input.dot > output.pdf* (requires graphviz)

example trees learned on the Pima indian dataset

Data is found in the UCI
repository. (For interest- see the wikipedia page about
the Pima people)

**Controlling the max depth:**

max_depth1.dot.pdf

max_depth5.dot.pdf

max_depth10.dot.pdf

**Controlling the min samples per leaf:
** min_samples_1.dot.pdf

min_samples_10.dot.pdf

min_samples_20.dot.pdf