Ridge Regression, Lasso Regression, Elasticnet Regression, Machine Learning, Machinelearningalgorithms.
there is another scenario called underfitting. A model fails to perform well with training data(high bias) and performs badly with the test data(high variance) then it is called Underfitting. Let’s say I have three models called Model 1, Model 2, and Model 3. Model 1 training accuracy of the data