Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
Very simple models are high-bias, low-variance while with increasing model complexity they become low-bias, high-variance. The concept of model complexity can be used to create measures aiding in model selection. There are a few measures which explicitly deal with this trade-off between goodness of