anonymized but in real case situations these features could represent things like maybe the number of times you've was drawn from an ATM is your card linked to the app how like how often are you in overdraft you know just like those kind of features then you take your data set and you split it into a chain test and then remember before we were showing or showing you how the data itself was highly imbalanced so in order to combat that right you train the model on what looks like normal what is considered normal you chain that so that