🥳 RAPIDMINER 9.9 IS OUT!!! 🥳
The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
Predicting Performance with Random Forest
I try to predict if people will get vaccinated or not to avoid sending letters sent to people who will not be vaccinated and thus minimizing costs of sending.
I have a big database with more than 400 attributs. I need thus to classify attributs and delete useless ones. I tried the attributs Random Forest, Apply Model and Performance (Classification) but when I check the performance results, I always have 0% and 100% for class recall. I tried to use another model that I have often seen on the internet "k-NN" and with this one it is not the case. Thus I supposed that the problem is the Random Forest.
Does someone know why the model predict always the same value ?