query: What is actually being maximized in the fitting of a logistic regression?
positive_passages.docid: 141825
positive_passages.text: Maximize log-likelihood of logistic regression
negative_passages.docid: 102692
negative_passages.text: Is my logic straight? Logistic regressions in R
negative_passages.docid: 36891
negative_passages.text: Properties of logistic regressions
negative_passages.docid: 92215
negative_passages.text: Relationship between logistic regression and Softmax Regression with 2 classes
negative_passages.docid: 79959
negative_passages.text: Choosing between transformations in logistic regression
negative_passages.docid: 35937
negative_passages.text: Softmax vs Sigmoid function in Logistic classifier?
negative_passages.docid: 101796
negative_passages.text: Understanding complete separation for logistic regression
negative_passages.docid: 114028
negative_passages.text: Obtaining predicted values (Y=1 or 0) from a logistic regression model fit
negative_passages.docid: 107278
negative_passages.text: Comparing SVM and logistic regression
negative_passages.docid: 116672
negative_passages.text: Why is logistic regression a linear classifier?
negative_passages.docid: 72985
negative_passages.text: Logistic regression with poor goodness of fit (hosmer lemeshow)?
negative_passages.docid: 97161
negative_passages.text: How can I consistently get a good logistic regression fit?
negative_passages.docid: 64602
negative_passages.text: Logistic regression: class probabilities
negative_passages.docid: 79014
negative_passages.text: Probability cut-off value for Logistic Regression
negative_passages.docid: 63640
negative_passages.text: Logistic regression with categorical predictors
negative_passages.docid: 49502
negative_passages.text: Conditional posterior distribution of coefficient in logistic regression
negative_passages.docid: 7113
negative_passages.text: Interpreting exp(B) in multinomial logistic regression