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decison tree show only one non leaf node( who has high in weight) and skip my other attribute ?

Am new in rapid miner and use it for my thesis purpose ,i collected my data on my own effects through questionnaire from different colleges . i want to apply different decision tree algorithms on my data set to collect by result accordingly . but when i put my data for processes i only get one class attribute and one non leaf node ( who has high in weight ). and skip all other attributes and didn't show the complete tree. for my result .
i need your help .

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shahbano_se

i select college attribute as my label

MartinLiebig

Hi,

did you try to change the (pre)pruning options? Most importantly, lower min_gain?

Best,

Martin

shahbano_se

how much min _gain should i selected ?

shahbano_se

by default it is selected as 0.01

MartinLiebig

0.01 is reasonable, but what happens if you go lower?