🎉 🎉 RAPIDMINER 9.10 IS OUT!!! 🎉🎉
Download the latest version helping analytics teams accelerate time-to-value for streaming and IIOT use cases.
Remove attributes with missing values exceeding a given threshold (percentage)
Hi, I'm new to Rapid Miner. I'm trying to do something very simple but I'm stuck with it. Given my data collection with many attributes I want to remove columns in which there are more than a given percentage of missing values (because I would not be able to use fixed values or infer their values). I tried the Remove Useless Attributes node but still I have columns with almost 90% of missing values so it didn't work as I wanted. Can you help me achieve what I want? It should be something trivial, I remember in Knime there was a specific option in the filter node to specify the percentage threshold.