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That entire map is complete and utter baloney as a general guide, though it may mean something in terms of skikit-learn.

Hastie has a decent classification of the strengths and weaknesses of different learning algorithms in his book. It's not a decision tree. It will never be a decision tree.

Seeing this (a while ago) from the perspective of someone that was a complete noob to machine learning I found it extremely useful. It my not be the end-all-be-all, but I found it a useful graphic for figuring out which algorithms I should research to solve a specific ML problem.

I guess the chart is designed to those who are doing their first steps in the machine learning world. It makes order. BTW I have nothing to do with scikit-learn, I shared it as I found it to be useful.

Thanks for sharing it. I think it is a good start; it gives people something to react and build upon.