🥳 RAPIDMINER 9.9 IS OUT!!! 🥳
The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
Unsure-aware Decision Tree
I'm trying to develop a stock recommending system using RapidMiner. I have labeled the output in two possible classes: buy / sell. I'm using a decision tree as learner. I have observed that some of the leaves contain both buy / sell recommendations. However, I will be more happy if the Decision Tree would say 'I do not know' your output for this data instead of giving the majority class for this specific leave.
- Be able to define a parameter to specify the required purity in a leave node (e.g. purity=0.9 could mean that the leave says 'sell' and out of the total instances that end up in this node, 90% at least are 'sell').
- This definition of purity does not depend in how many classes the problem has; so, in principle, it can be quite generic.
- I find it also interesting to extend this approach to other operators if possible.
Let me know what you think about this feature request and possible work-arounds.