Plot Decision Boundary for Scikit Logistic Regression with 7 Features

Question

I'm implementing binary logistic regression with 7 features in Python with scikit-learn, and I want to plot the decision boundary for it (preferably in Matplotlib). I've seen this and this and this , but none of those work for me when I try to implement them; some require me to only train the model on two features, which I would not prefer.

Ideally, I would like to plot the boundary in both 2d and 3d,

but either would be fine.

Answer 1

You can not visualize data in dimensions greater than 3, as it is really hard to plot points that have more than 3 dimensions. Using color / hue maybe you get get up to 4 or 5. So even visualizing your data is impossible, let alone a decision function in this dimension. What do you mean by plotting the boundary in 2d or 3d?