Exercise 2 — Predict faultnext7d with the Week 4 features

Guided practice5 min
Time
20-30 min
You need
the kit, the venv active, data/features.csv from Week 4
Deliverable
your confusion matrix at threshold 0.5 and the four scores of Step 5

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

Goal

This is the main task of the course, done properly for the first time. You give the 15 Week 4 features to a logistic regression inside a pipeline. You train on January to September and test on October to December. You compare with the dummy that says "no fault" every time. Then you read the confusion matrix cell by cell, in NorthPeak words, and compute precision, recall and F1.

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

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This lesson is part of the “Week 5 — Regression, classification and evaluation” module

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