How to optimise hyperparameterss for RandomForestClassifier in Python for large datasets?
I’m just working on this problem where I thought RandomForestClassifier
from scikit-learn would be better solution for a large dataset. Only after trying with it for this, I found it to be not accurate. The model is either overfitting or underperforming, and sometimes the training time goes on forever.