Classification (logistic regression or k-Nearest Neighbors) on a cluster?
Newbie
I am interested in performing a further classification analysis on a single cluster resulting from a clustering model in RapidMiner, either logistic regression or k-Nearest Neighbors as these are the tools in scope for my assignment that this is for.
The cluster I am interested in is Cluster 1. My binary categorical outcome is "Charged Off" or "Fully Paid". How do I go about extracting the data I need for Cluster 1 from my initial cluster analysis and feed it into RapidMiner for a further classification analysis?
First timer here, so hope this works!
The cluster I am interested in is Cluster 1. My binary categorical outcome is "Charged Off" or "Fully Paid". How do I go about extracting the data I need for Cluster 1 from my initial cluster analysis and feed it into RapidMiner for a further classification analysis?
First timer here, so hope this works!
0
Best Answer
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Telcontar120
Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, MemberPosts:1,635
Unicorn
Filter Examples for those cases where your cluster=1 and then run the preferred predictive model only on those records (be sure the label is set first).
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