Hi everyone,
I’m encountering an issue with my predictive model in Qlik. I followed the standard workflow created an AutoML experiment, deployed a model version, ran predictions, and then created an analytics app to view the results.
However, when I check the predictions for my target column (which is a numerical value), all the values are showing up as zero.
Here’s a brief about my dataset:
• Total of 4 columns:
• 1 numerical column as the target.
• 2 categorical columns.
• 1 column with dates.
I’m unsure whether I’ve set up the training dataset and the prediction input dataset correctly.
My key doubts:
• What should be included in the training set vs. the prediction input set?
• Could this issue (zero predictions) be due to a mismatch in feature formatting or data leakage?
• Has anyone faced a similar problem where predictions return only zeros after model deployment?
Would really appreciate any guidance or tips on how to troubleshoot or correctly configure the pipeline.Thanks in advance!
