Hi KNIME community,
Can anyone think of why predictions made from R code in R are different from predictions made using the R learner/ R predictor node in KNIME with the same R code?
Thanks
Hi KNIME community,
Can anyone think of why predictions made from R code in R are different from predictions made using the R learner/ R predictor node in KNIME with the same R code?
Thanks
Well I was having the same issue "predicting" a cluster in Knime, and I looked at the internet and found that you should use set.seed() beforehand.
See this link: https://stats.stackexchange.com/questions/26364/variability-in-k-means-clusters-results-setting-set-seed-before
hope it helps
This (use set.seed() for reproducibility) also applies to various other prediction algorithms (e.g. tree-based algorithms). Standard OLS should lead to the same results, though. ;-)
This topic was automatically closed 90 days after the last reply. New replies are no longer allowed.