overfitting by running the same model on some of our held-out data so doing some cross validation and it looks like the test error is actually smaller than the Train error so what I'm gonna do is just increase the number of training rounds and see if that's still the case all right yeah and it looks like it is so I think just by increasing the number of training rounds I should get a better performance than this kernel originally had so once we have trained our model we can actually make our predictions so our