Order of hyperparameter optimisation and feature selection in a nested CV structure
648
How should Feature Selection and Hyperparameter optimization be ordered in the machine learning pipeline?
34737
Optimal number of folds in $K$-fold cross-validation: is leave-one-out CV always the best choice?
158632
About SVM cost and gamma parameters tuning
83655
Assumptions behind cross-validation
150758
How does cross-validation overcome the overfitting problem?
96964
Model Selection: Logistic Regression
118276
Multivariate multiple regression validation
51084
Won't highly-correlated variables in random forest distort accuracy and feature-selection?
26434
Practical hyperparameter optimization: Random vs. grid search
153341
Lasso regression feature selection
147748
Issues with feature selection in matlab
28133
Theoretical: Minimum Number of Support Vectors
86494
Mapping of categorical features into binary indicator features
93863
Uniform vs discrete Gaussian sampling in Ring learning with errors
124109
K-fold vs. Monte Carlo cross-validation
107608
Differentiation in support vector machine
102449
Weighting features prior to SVM