How do I improve my random forest prediction rate from 96%

r
random_forest

#1

Hello,

While participating in the Kaggle competition on Hand written digit recognition I could achieve an accuracy rate of 96%(50th percentile) using a combination of the train - test data and generating 3 random forests and combining them for prediction.
But I want to improve more on this model.I had tried rotating the images by 5-10 degrees but R gives memory usage error.
Is there any other way to improve the model performance.


#2

Have you tried deep neural nets? They might be of help here.

Also, if your laptop is giving memory errors, you can always spin up a machine on AWS :smile:

Regards,
Kunal