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.
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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