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Error in Decision tree

Hey I am a newbie and i am creating Decision tree for predicting the price of the car but it show error. i am also uploading the Screenshot of the error and csv file. I ll great thank full if any body help me because its my University project.

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Accepted answers

lionelderkrikor

@Shahessi_10,

Here, you can find a process doing what you want to achieve.
Basically I build a DT model with the examples with no missing value (Price) and then I'm applying this model
to the examples with missing values (Price).

Hope this helps,

Regards,

Lionel

Decision_tree_regression.rmp

All comments

lionelderkrikor

Hi @Shahessi_10,

In case of error, don't forget that you can submit directly your data to AutoModel.
In attached file a working process produced by AutoModel which uses GBT (it was the best model for your regression model)
You can notice that I removed the "att1" attribute which is basically an Id... ==> please check the GBT_regression_automodel.rmp process.

Otherwise I tried to rebuild your process you showed in the picture (with the DT model) ==> You can check the Decision_tree_regression.rmp process in attached file. I set the "att1" attribute as "ID" as well.

Hope this helps,

Regards,

Lionel

GBT_regression_automodel.rmp

Decision_tree_regression.rmp

Shahessi_10

@lionelderkrikor @kayman

Thank you So much for your reply and Suggestion. I want This tree to predict the new price for the missing car price value Using DT method. Can you help me by this

lionelderkrikor

Decision_tree_regression.rmp

Shahessi_10

@lionelderkrikor
Thank you so much i got my answer .....

Shahessi_10

@lionelderkrikor
i am uploading this dataset in Rapid miner but its not working. Can you help please. This data is about chargeback of client

df.csv

lionelderkrikor

Hi @Shahessi_10,

I'm able to read your NEW csv.file in RapidMiner successfully.........................................

PLEASE EXPLAIN CAREFULLY WHAT YOU WANT TO ACHEIVE !

Shahessi_10

@lionelderkrikor
I want to know the person who got charge back or not ......