Week 5 — Lesson 2: Linear regression on power

3 min

NorthPeak wants to predict power_kw, a number, from the load and the machine type. Linear regression is the simplest model for that job: a constant plus each feature multiplied by a weight. On the NorthPeak readings it gives power_kw = 0.495 × load_pct + 3.663 with one feature, and an R2 of 0.933 with load, ambient and type together. This lesson explains the weighted sum, then the three numbers, MAE, RMSE and R2, that say how far the predictions are from the truth.

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

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