Why you shouldn't upsample before cross validation
9954
Why did sampling boost the performance of my model?
122165
What problem does oversampling, undersampling, and SMOTE solve?
8922
Opinions about Oversampling in general, and the SMOTE algorithm in particular
117722
Interplay between early stopping and cross validation
85330
Why do we use residuals to test the assumptions on errors in regression?
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
155013
How to validate k-fold cross validation results for classifiers?
11553
Why bother with the dual problem when fitting SVM?
129608
Question on the choice of boundary in the CUSUM test when we make some resampling
128980
How to deal with factors with rare levels in cross-validation?
111321
When should we discretize/bin continuous independent variables/features and when should not?
88139
Why binary crossentropy can be used as the loss function in autoencoders?
124109
K-fold vs. Monte Carlo cross-validation
125349
Does the cross-entropy cost make sense in the context of regression?
107720
Resampling / simulation methods: monte carlo, bootstrapping, jackknifing, cross-validation, randomization tests, and permutation tests
13664
Bias and variance in leave-one-out vs K-fold cross validation
65681
Should training data in each batch size be resample only one time or at each epoch when using mini-batch