query: In boosting, if the base learner is a linear model, does the final model is just a simple linear model?
positive_passages.docid: 156390
positive_passages.text: Gradient Boosting for Linear Regression - why does it not work?
negative_passages.docid: 139961
negative_passages.text: How would you explain generalized linear models to people with no statistical background?
negative_passages.docid: 18254
negative_passages.text: Is R-squared truly an invalid metric for non-linear models?
negative_passages.docid: 96995
negative_passages.text: Is the inverse of a linear transformation linear as well?
negative_passages.docid: 34923
negative_passages.text: How does leave-one-out cross-validation work? How to select the final model out of $n$ different models?
negative_passages.docid: 105631
negative_passages.text: Tensors in neural network literature: what's the simplest definition out there?
negative_passages.docid: 10405
negative_passages.text: How to tell the difference between linear and non-linear regression models?
negative_passages.docid: 125054
negative_passages.text: How does gradient boosting calculate probability estimates?
negative_passages.docid: 54629
negative_passages.text: Difference Between Linear Regression in Machine Learning and Statistical Model
negative_passages.docid: 123017
negative_passages.text: How does a back-propagation training algorithm work?
negative_passages.docid: 56397
negative_passages.text: Why do smaller weights result in simpler models in regularization?
negative_passages.docid: 35960
negative_passages.text: Testing the difference in AIC of two non-nested models
negative_passages.docid: 91448
negative_passages.text: Should I normalize all data prior feeding the neural network models?
negative_passages.docid: 136012
negative_passages.text: why boosting method is sensitive to outliers
negative_passages.docid: 15196
negative_passages.text: Why scaling is important for the linear SVM classification?
negative_passages.docid: 9956
negative_passages.text: What is the difference between embedding in pure math and embedding in ML?
negative_passages.docid: 104487
negative_passages.text: Finding Bias$(s^2)$ in incorrect linear model