Exercise 1 — Tree depth sweep

Guided practice5 min
Time
20-30 min
You need
the kit, the venv active, python data/make_dataset.py done
Deliverable
week06/depth_sweep.png and the best depth

The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en

Goal

NorthPeak wants a fault model it can explain. A decision tree is the natural choice. But how deep should it be? You will train twenty trees, from depth 1 to depth 20, on January to June. You will score each one on the months it saw and on July to September, which it did not see. Two curves will appear. They will not agree.

Preview — the rest of the lesson is for enrolled readers.

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This lesson is part of the “Week 6 — Model selection and validation” module

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