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Which variables should i use/create for a prediction model?
Hi, i´m working in a model in order to predict if the debtor is going to pay or not. Would you recommend me any idea or suggestion? For example, creating some attributes or using a specific Model Operator?
Here i leave you my Data set.
Here i leave you my Data set.
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Best Answer
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varunm1 Member Posts: 1,207 UnicornI don't want to push you, but if you are interested you can take a look at these videos that might help you understand what is happening in the auto model. If you have more questions on the auto model, you can ask us here and we are happy to answer them.
https://academy.rapidminer.com/learn/video/auto-model-classification
https://rapidminer.com/resource/automated-machine-learning/
https://www.youtube.com/watch?v=Ol0ZXN-GFTo
Hope this helps.Regards,
Varun
https://www.varunmandalapu.com/Be Safe. Follow precautions and Maintain Social Distancing
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Answers
Did you try rapidminer automodel? It will suggest models and also attributes useful in making predictions. You can also understand which attributes are important in making predictions.
Give it a try.
Varun
https://www.varunmandalapu.com/
Be Safe. Follow precautions and Maintain Social Distancing
Varun
https://www.varunmandalapu.com/
Be Safe. Follow precautions and Maintain Social Distancing
Regarding your dataset - as I understand it contains some historical data about Santander bank borrowers, right?
Which column represents a target variable (the one you are trying to predict, whether the debtor has paid back)? Or maybe it should be derived somehow from other attributes? It's not easy to understand as column names formed from Spanish language not known to me.
Vladimir
http://whatthefraud.wtf