query: While dealing with imbalanced classes, to what extent can we upsample a minority class?
positive_passages.docid: 23761
positive_passages.text: When is unbalanced data really a problem in Machine Learning?
negative_passages.docid: 31300
negative_passages.text: Does an unbalanced sample matter when doing logistic regression?
negative_passages.docid: 48892
negative_passages.text: whether to rescale indicator / binary / dummy predictors for LASSO
negative_passages.docid: 107720
negative_passages.text: Resampling / simulation methods: monte carlo, bootstrapping, jackknifing, cross-validation, randomization tests, and permutation tests
negative_passages.docid: 40629
negative_passages.text: How to do a bias-variance analysis on a machine learning modelling process
negative_passages.docid: 158388
negative_passages.text: Sampling error with weighted mean
negative_passages.docid: 155721
negative_passages.text: would adding the probabilities in a dataset be more accurate than the individual results?
negative_passages.docid: 106255
negative_passages.text: How do I make an unbalanced binary tree?
negative_passages.docid: 84407
negative_passages.text: How to judge if a supervised machine learning model is overfitting or not?
negative_passages.docid: 155943
negative_passages.text: What approaches or problems do I need to consider when building a classification model from 2 different populations?
negative_passages.docid: 156460
negative_passages.text: Expanding a dataset based on a weight field
negative_passages.docid: 95035
negative_passages.text: How to correct for small p-value due to very large sample size
negative_passages.docid: 46740
negative_passages.text: Transforming proportion data: when arcsin square root is not enough
negative_passages.docid: 144448
negative_passages.text: Understanding lack of fit in logistic regression
negative_passages.docid: 91625
negative_passages.text: Classification/evaluation metrics for highly imbalanced data
negative_passages.docid: 96296
negative_passages.text: Imputation before or after splitting into train and test?
negative_passages.docid: 123322
negative_passages.text: How to make Random Forests more interpretable?