"Apply a decision tree to calculate a label attribute"
voyz02
New Altair Community Member
Hello everyone!
Firt of all, sorry if my english level isn't quite good... I have designed an analytical process that generates as last step a decision tree from a label attribute named Interesado (Interested in spanish)
My question es: How can I apply de decision tree to calculate the value of the label attribute in those rows that do not have this information?
For example, my decision tree made by Weka is:
And I want to apply this decision tree to calculate the value of label Interesado in this rows:
Is that possible?
Greetings from Spain
Firt of all, sorry if my english level isn't quite good... I have designed an analytical process that generates as last step a decision tree from a label attribute named Interesado (Interested in spanish)
My question es: How can I apply de decision tree to calculate the value of the label attribute in those rows that do not have this information?
For example, my decision tree made by Weka is:
And I want to apply this decision tree to calculate the value of label Interesado in this rows:
Is that possible?
Greetings from Spain
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Answers
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Yes it is possible. Estimate your model with the training data and then apply the model to the new dataset. Your lucky day; I teach one DM course in Spanish (check out these tutorials:
http://www.screencast.com/t/VeyNqh6l
http://www.screencast.com/t/ip0O1S04GfWm
)
Just change the operator I used and replace it with the Weka Tree.
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Thank you very much earmijo!
It's just the information I was looking for. Thanks again.
Greetings from Spain.
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