Which ones are correct regarding bias-variance tradeoff? Question 1 options: Overfitting is a good thing in ML because it shows that the model has fit the data very well. There is a tradeoff between bias and variance of a model in ML. When one is high the other is low. High bias models are generally simpler models High variance models are generally simpler models