🎉 🎉   RAPIDMINER 9.5 BETA IS OUT!!!   🎉 🎉
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🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤
We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.
Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!
"Increase decision tree accuracy"
I am very new to data mining as I am currently working on my final project, I have large dataset (6.2 million entries) however due to low memory I am currently using only 300k for my decision tree. After I finish training the data I get 17% accuracy, isn't that a little too low for a percentage?
So my question is if there anyway to increase the accuracy rate?
I hope I was clear, if there are more questions I am ready to answer them.
Thank you very much in advance!