Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
quantifies how much the model varies as we change the training data. A high-variance model is very sensitive to small fluctuations in the training data, which can cause the model to overfit. The amount of bias and variance can be estimated using learning curves: A model exhibits high variance, but