Could you please kindly elaborate more on the bias and “mean prediction” part? I’ve seen this explanation multiple times on the Internet but cannot get it. When the learning rate is too high, my understanding is that the model wouldn’t converge? Why would that results in bias responsible for most of the prediction? Thanks!