🥳 RAPIDMINER 9.9 IS OUT!!! 🥳
The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
How to predict change by looking at the impact of various attributes?
- Annual change rate 2014 - 2019
- Change rate for 2020
- Breakdown per sector and company size
- Indicators (e.g. the percentage of companies with a website)
Purpose: I want to predict the differences between split by the following attributes:
- Per sector/size
- Per country
- Per indicator
Since I have over 10 sector/sizes, 30+ countries and 20+ indicators, splitting this manually is a hard job since I need to do that for every combination. I was wondering if there exists a solution in RapidMiner that would allow to make a prediction based on the split attributes I have listed above? The ultimate purpose is if I can predict what will happen when a pandemic like COVID-19 will occur again.
To given a better idea, this is how my Rapidminer design view looks like right now trying to split my data in 70% training and 30% testing and run a decision tree model. However, as you can see below this does not go so well.