Week 4 — Lesson 1: Features and targets

3 min

Every model in this course is trained with model.fit(X, y): a table of inputs and one column of answers. For the NorthPeak fault task the answer is fault_next_7d, and the inputs are the six sensor columns of readings.csv. Columns like reading_id, machine_id and date are neither, and must stay out. This lesson names the two roles, features and target, and shows the two lines of pandas that separate them.

Two kinds of columns

A table has many columns. For a model, they fall into two groups. The target is the answer. There is one target per task. The features are the inputs. The model reads them and produces a guess for the target.

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This lesson is part of the “Week 4 — Data preparation and dataset separation” module

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