Machine Learning, Statistics, Regression, Ridge Regression, Linear Regression.
decreasing the bias/variance of a model and seeing how it affects its variance/bias. Let’s take the example of overfitting. In an overfitting model, we see that the model is very good at predicting the training data but very inaccurate at predicting the testing data. And the main reason for this is