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Introducing Feature Crosses

Can a feature cross truly enable a model to fit nonlinear data? To find out, try this exercise.

Task: Try to create a model that separates the blue dots from the orange dots by manually changing the weights of the following three input features:

  • x1
  • x2
  • x1 x2 (a feature cross)

To manually change a weight:

  1. Click on a line that connects FEATURES to OUTPUT. An input form will appear.
  2. Type a floating-point value into that input form.
  3. Press Enter.

Note that the interface for this exercise does not contain a Step button. That's because this exercise does not iteratively train a model. Rather, you will manually enter the "final" weights for the model.

(Answers appear just below the exercise.)