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Managing Complexity

Microsoft Employee

9 years ago

Missed the previous parts of this series? See Become your organization’s strategic advisor by using Machine Learning and Power BI In part one, we considered how correlation plots can easily be in...

Published 9 years ago

Version 1.0

4_MultivariateAnalysis.pbix2.5 MB

how to

Christian_Berg

Microsoft Employee

Joined October 02, 2016

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Power BI Community Blog

On this blog you will find articles, guides and information created by our community members and, from time to time, roundups and community news. If you are interested in becoming a community blog author, send a private message to Natalie_iTalent. An overview of the community blogs can be found here.

tringuyenminh92

Memorable Member

9 years ago

Spoiler

If we instead use a tree we see a much richer explanation of the interactions. To get to the highest outcome (bottom right with an average value of 12) we read the tree from the top:

“Factor B < 1.5” should be “no” (i.e. B should be greater than 1.5),
“Factor A < 1.5” should also be “no” (we again take the branch to the right),
“Factor B >= 2.5” should be “no” (again right which is always “no”) and finally,
“Factor A >= 2.5” should be “no”.

If we instead use a tree we see a much richer explanation of the interactions. To get to the highest outcome (bottom right with an average value of 12) we read the tree from the top:“Factor B < 1.5” should be “no” (i.e. B should be greater than 1.5),“Factor A < 1.5” should also be “no” (we again take the branch to the right),“Factor B >= 2.5” should be “no” (again right which is always “no”) and finally,“Factor A >= 2.5” should be “no”.

Hi Christian_Berg,

I'm new in this domain, so could you please explain for me how could we have 1.5 or 2.5 cause I don't understand how to have this number? and in next picture, n=14, what is n meaning/definition?

Best regards

Tri Nguyen