is it ok to get 100% accuracy in random forest classifier algorithm?
There could be many reasons why you achieved 100% accuracy.One of them could be:Duplicates in your data which are repetitive in both train and test data.I would suggest you to try the following steps:
1.Check if there are any duplicates in the original data
2. Try a different Train-Test split like 80-20
3.Try k-Fold cross validation
4.Checkout for Precision and Recall apart from accuracy.
Hope this helps!