What is the main trade-off when you relax regularization to reduce avoidable bias?

True or False: Lowering a strong regularization setting, such as dropout, can reduce avoidable bias but often increases variance.

Less regularization can lower bias but raise _____.

Match each training technique to the description of what it does.

Put the steps in the right order for deciding whether to weaken regularization when bias is too high.

Weighing regularization when a model is underfitting

When training error stays high but the validation gap is small, should dropout be reduced?

Why can less regularization lower bias but raise variance?

Which regularization method is explicitly identified as something that can be reduced to lower avoidable bias?

True or False: Removing regularization lowers variance without changing bias.