"Newbie decision tree help needed"
cortb
New Altair Community Member
Total newbie here. Have been having extreme difficulty creating a decision tree using the following fields in an Excel file: bought price,lender,state,employment,pay period,monthly income,requested amt,employed months.
I want to make the Label column 'bought price' but then it complains about not being able to do a split test with numerical. Perhaps I'm going about this model the wrong way? Basically I want to find the relationships/correlations as it pertains to 'bought price' and the other variables. Any help would be sincerely appreciated.
-CB
I want to make the Label column 'bought price' but then it complains about not being able to do a split test with numerical. Perhaps I'm going about this model the wrong way? Basically I want to find the relationships/correlations as it pertains to 'bought price' and the other variables. Any help would be sincerely appreciated.
-CB
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Answers
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what you are trying to do is predict a real number. this is called regression.
while decision trees can sorta fake regression, they are really meant as classifiers. Classification means predicting a (small number of) whole numbers or classes.
i would recommend trying Nearest Neighbors (k-NN) or linear regression
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