All of the following are the common strategies to alleviate (i.e. reduce) over-fitting except Using singular value decomposition (SVD) in principal component analysis (PCA) instead of the covariance...

Machine learning


Extracted text: All of the following are the common strategies to alleviate (i.e. reduce) over-fitting except Using singular value decomposition (SVD) in principal component analysis (PCA) instead of the covariance matrix decomposition Limiting the maximum depth of a decision tree Adding regularization terms to the linear regression loss function Using cross-validation in kNN classification to choose the parameter k