I am using the Book recommendation case study to predict the book ratings, the variable rating scale is 1-5, but when the Spark Collaborative filtering Learner node is used to learn the data and Spark Prediction(MLlib) node is used for prediction, the predicted variable value is ranging between -2.5 to 7.7. Not able to understand why the predicted value is ranging between -2.5 to 7.7 and not between 1 to 5. Tried normalizing the predicted variable, but still the range remais same. Sharing the workflow for your reference, i need clarity on the predicted value. Please do the needfull quickly Workflow - Book Recommendation1.knwf.knwf (46.6 KB) .

Working on Recommendation System case study - Predicting Book rating, issue with the prediction value

mlauber71 March 30, 2024, 3:22pm 2

@SK_GL you example does not contain any data. Maybe you can add those:

Share KNIME Workflows with data

1 Like