Logistic regression can handle categorical predictor variables, too. Similarly, the values to predict "red", "blue" were stored as strings. You can use numeric 0 and 1 if you wish. Logistic regression ...

Accuracy, Precision, and F1 Score. Data practitioners can use the numbers derived from a confusion matrix to calculate their logistic regression models’ accuracy, recall, and F1 score.

Kernel logistic regression is a technique that extends regular logistic regression to deal with data that is not linearly separable. A good way to understand what kernel logistic regression is and to ...

Regression using step and logistic models yields thresholds of 185 cm (solid vertical blue line) and 194 cm (dashed blue line), respectively. The outlier from a does not substantially affect ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.