Exercise 2 — Grid search on a random forest

Guided practice5 min
Time
20-30 min
You need
the kit, the venv active, python data/make_dataset.py done
Deliverable
week06/best_params.json and the best mean AUC

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

Goal

NorthPeak asks you to pick the settings of the fault forest. Not by feeling. By measuring. You will look at how TimeSeriesSplit cuts the training months, score a default forest, then run a grid of 12 settings with 3 temporal folds. You will read the results table and save the winner for Exercise 3.

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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