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:
- Click on a line that connects FEATURES to OUTPUT. An input form will appear.
- Type a floating-point value into that input form.
- 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.)