Prediction model questions

User: "MikeGer"
New Altair Community Member
Updated by Jocelyn
Hello I have a ńfew newbie questions. I’m very new to this but am trying to learn!

i created a csv with around 20 variables (columns) which should explain / predict one variable (column).
After using the automodel function, which btw is a blessing, i chose the „predict“ function and selected the variable which i want to predict / explain with the others. Doing this gave me 3 questions, which after researching the internet i still cant answer:

1. The variable which i want to have explained is a numerical one. When setting everything up, the tool asks me if I want to turn it into classification (after i already selected the prediction function). What does that mean and what would be my benefits if doing so ?

2. When calculating, do the tools use all variables to explain/predict, or do the tools filter out the most efficient ones to do the calculation ? Because I was hoping to also get insight on which variables are the most important for the prediction instead of forcing the tools to use all of them...

3. Some of the values have more decimal places than RapidMiner shows. The values therefore show as “0”... Is there a possibility to change the amount of decimal places?

Thank you so much for the help...

Greetings from Germany.

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