The RapidMiner community is on read-only mode until further notice. Technical support via cases will continue to work as is. For any urgent licensing related requests from Students/Faculty members, please use the Altair academic forum here.
Recommender extension Rating predictor
Hello,
i need help in this problem i spent hours searching and didn't reach anything.
1) when i try to use cross validation with the rating prediction operator it gives an error saying expected a model but received a rating predictor so how to fix that ?
2) Also is there any way i can show accuracy when using the rating prediction operator as it only shows RMSE?
3) How can I decrease the RMSE, other than changing the size of test and training data sets and changing K as they are not working ?
Please help me save my project and thank you .
i need help in this problem i spent hours searching and didn't reach anything.
1) when i try to use cross validation with the rating prediction operator it gives an error saying expected a model but received a rating predictor so how to fix that ?
2) Also is there any way i can show accuracy when using the rating prediction operator as it only shows RMSE?
3) How can I decrease the RMSE, other than changing the size of test and training data sets and changing K as they are not working ?
Please help me save my project and thank you .
Tagged:
0
Best Answers
-
rfuentealba RapidMiner Certified Analyst, Member, University Professor Posts: 568 UnicornHello @Mera,
On 1), you are using cross validation with something that is not a model. That also explains why you can't show accuracy (2).
Can you provide us your model to understand what are you doing?
All the best,
Rod.5 -
MarcoBarradas Administrator, Employee, RapidMiner Certified Analyst, Member Posts: 272 Unicorn@Mera
Read chapter 11 you are talking about Hybrid Recommender
from https://rapidminer.com/resource/data-science-concepts-practice/5