If we want to see the general concept of the underfitting or overfitting

UnderFitting

in underfitting we get the result not accurate because we don't have enough data to train our model

that's called the Uderfitting

OverFitting

in overfotting we get the result not accurate because we have data in very large amount and our model don't need to much data here the result change because the data is too much large