[nerdponx]

I meant to write "logistic", but it's worth noting that logistic regression is a linear model from which you derive a linear decision boundary.

And yes, it can handle it, by finding a "optimal" boundary according to a criterion other than "is it separated or not?". But that's not the point. The data remains inseparable.

And yes, while logistic regression can technically handle this case (by returning a solution and not blowing up), it will perform poorly unless you transform the data, because the decision boundary is still linear.

[kelvin0]

Really appreciate your feedback, I'll certainly look into your claims in the next few days.

What's your background? Have you 'been' in ML long? Feel free to give me as much details as you feel comfortable with.

Thanks!