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Posted to user@spark.apache.org by Arun <ar...@gmail.com> on 2017/05/21 02:48:10 UTC

Rmse recomender system

hi all..

I am new to machine learning.

i am working on recomender system. for training dataset RMSE is  0.08  while on test data its is 2.345

whats conclusion and what steps can i take to improve



Sent from Samsung tablet

Re: Rmse recomender system

Posted by "Chen, Mingrui" <mi...@mail.smu.edu>.

Hi,

Try to use the most popular "recall, precision and F-score" as evaluation metrics for your recommendation system. Improving prediction performance depends on how good the features you use and whether you choose a proper model. It's hard to tell without any more details.

________________________________
From: Arun <ar...@gmail.com>
Sent: Saturday, May 20, 2017 9:48:10 PM
To: user@spark.apache.org
Subject: Rmse recomender system

hi all..

I am new to machine learning.

i am working on recomender system. for training dataset RMSE is  0.08  while on test data its is 2.345

whats conclusion and what steps can i take to improve

Sent from Samsung tablet