Regression without label data
Hi all, I'm at the beginning of ML journey and have a task to find some performance of stocking locations based ONLY on attributes like inbound outbound qty, square feet capacity, load rate, etc...
I know that making a regression model doesn't make sense without label data, but I need to find some sort of performance 0-100 if I have attributes and weight for every attribute.
Please help me understand what the best approach is since I can not evaluate the score.
Can some unsupervised methods help me to group stocking location in two classes >= 0.5 and < 0.5 ?