Zero-inflated model

A zero-inflated model is a type of statistical model used to analyze data sets that have a lot of zeros in them. It works by taking into account the additional amount of zeros present in the data set and figuring out why they are there. It then uses that information to predict future outcomes. To put it simply, a zero-inflated model helps us understand why so many zeros show up in our data and what it means for the future.