Spent 30 minutes training an AI model and got complete gibberish because I forgot to normalize the data first

Was sitting in my home office at 2 AM trying to get a customer churn predictor to work, and it just spat out random negative numbers until I realized my features were on totally different scales - has anyone else had a late-night debugging session like that buried in bad outputs?

2 comments

2 Comments

blair59715h ago

Woke up at 3 AM myself last week trying to figure out why my classification model kept predicting everything as the same class. Turned out I had a bug where I was feeding it the labels instead of the features for half the training set. Just sat there staring at the screen like a zombie until the coffee kicked in and I noticed the variable names were swapped. These late night coding sessions really mess with your head, man.

cameronn6211h ago

Man I gotta disagree with you there honestly. I actually get my best debugging done between midnight and 4 AM when it's dead quiet and nobody is texting me. Like last week I had this weird null pointer thing that I banged my head against for 6 hours during the day, then at 2 AM I saw it in 10 minutes. There's something about being half asleep that makes me stop overthinking and actually look at the variable names instead of assuming they're right. The coffee is key though, you gotta time it right or you'll just stare at the screen like a rock.