Ridge Regression, Lasso Regression, Elasticnet Regression, Machine Learning, Machinelearningalgorithms.
a condition which is called Overfitting. Overfitting Condition That means the model performs well but it fails to perform well with test data. A model performs well with the training data(low bias) when it fails to perform well with the test data(high variance) then it is called Overfitting. So