query: Does logistic regression take into account prior probabilities of classes?
positive_passages.docid: 29411
positive_passages.text: Why P>0.5 cutoff is not "optimal" for logistic regression?
negative_passages.docid: 30316
negative_passages.text: Output of Logistic Regression Prediction
negative_passages.docid: 125054
negative_passages.text: How does gradient boosting calculate probability estimates?
negative_passages.docid: 2074
negative_passages.text: Multinomial logistic regression vs one-vs-rest binary logistic regression
negative_passages.docid: 51390
negative_passages.text: Logistic regression model does not converge
negative_passages.docid: 31300
negative_passages.text: Does an unbalanced sample matter when doing logistic regression?
negative_passages.docid: 142752
negative_passages.text: Should quantitative predictors be transformed  to be normally distributed?
negative_passages.docid: 76276
negative_passages.text: Logistic Regression: Bernoulli vs. Binomial Response Variables
negative_passages.docid: 79014
negative_passages.text: Probability cut-off value for Logistic Regression
negative_passages.docid: 89791
negative_passages.text: Correlated features produce strange weights in Logistic Regression
negative_passages.docid: 100044
negative_passages.text: Multinomial logistic regression analysis or binary logistic regression
negative_passages.docid: 42483
negative_passages.text: Logistic regression with {-1,+1} labels
negative_passages.docid: 38218
negative_passages.text: Are there algorithms for computing "running" linear or logistic regression parameters?
negative_passages.docid: 144448
negative_passages.text: Understanding lack of fit in logistic regression
negative_passages.docid: 79636
negative_passages.text: Heteroskedasticity in logistic regression
negative_passages.docid: 79393
negative_passages.text: Logistic regression is predicting all 1, and no 0
negative_passages.docid: 107278
negative_passages.text: Comparing SVM and logistic regression