Machine Learning
300 views
Ridge Regression
Quick Definition
Regularized regression using L2 penalty to prevent overfitting
Full Definition
A regularized regression method adding L2 penalty to prevent overfitting by shrinking coefficient values.
Examples
multicollinearity handling, feature shrinkage, stable estimates
Related Terms
lasso-regression
regularization
linear-regression
More Machine Learning Terms
Feature Selection
Identifying the most relevant features for model training
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Overfitting
When a model learns training data noise and fails on new data
Survival Analysis
Statistical methods analyzing time until an event occurs
Linear Regression
Modeling variable relationships by fitting a linear equation
Kernel Trick
Transforming data to higher dimensions for linear separability