Scikit-learn was used to fit logistic regression models, and a train/test split was created on the data, with test data only used for evaluating the performance of the models.

The demo program loads a 200-item set training data, and a 40-item set of test data into memory. Next, the demo creates and trains a logistic regression model using the LogisticRegression class from ...

Logistic regression is a popular method for detecting uniform and nonuniform differential item functioning (DIF) effects. Theoretical formulas for the power and sample size calculations are derived ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Several new tests are proposed for examining the adequacy of a family of parametric models against large nonparametric alternatives. These tests formally check if the bias vector of residuals from ...