Machine Learning, Generalization, Regularization, Overfitting, Bias.
A model is said to have high variance if its predictions are sensitive to small changes in the input. In other words, you can think of it as the surface between the data points not being smooth but very wiggly. That is usually not what you want. High variance often means overfitting because the