query: How to select a threshold for logistic regression in case of imbalance in class distribution
positive_passages.docid: 31300
positive_passages.text: Does an unbalanced sample matter when doing logistic regression?
negative_passages.docid: 147962
negative_passages.text: How to estimate Relative Risks in Multivariate Binary Logistic Regression Models, instead of Odds Ratios?
negative_passages.docid: 42624
negative_passages.text: Class imbalance strategies
negative_passages.docid: 27312
negative_passages.text: How can I account for a nonlinear variable in a logistic regression?
negative_passages.docid: 91880
negative_passages.text: Suggestions for cost-sensitive learning in a highly imbalanced setting
negative_passages.docid: 42483
negative_passages.text: Logistic regression with {-1,+1} labels
negative_passages.docid: 22316
negative_passages.text: Rare Events Logistic Regression
negative_passages.docid: 79498
negative_passages.text: Best methods to solve class imbalance problem and why?
negative_passages.docid: 3980
negative_passages.text: Reduce Classification Probability Threshold
negative_passages.docid: 18820
negative_passages.text: For imbalanced classification, should the validation dataset be balanced?
negative_passages.docid: 141825
negative_passages.text: Maximize log-likelihood of logistic regression
negative_passages.docid: 154994
negative_passages.text: Violation of linearity assumption in Logistic Regression
negative_passages.docid: 101796
negative_passages.text: Understanding complete separation for logistic regression
negative_passages.docid: 54734
negative_passages.text: Standard error of the estimate in logistic regression
negative_passages.docid: 98863
negative_passages.text: Which metric to use to evaluate highly imbalance classification model performance
negative_passages.docid: 77590
negative_passages.text: Highly unbalanced test data set and balanced training data in classification
negative_passages.docid: 86570
negative_passages.text: Sample size for logistic regression?