In Linear Regression using TensorFlow post we described how to predict continuous-valued parameters by linearly modeling the system. What if the objective is to decide between two choices? The answer ...

Logistic regression is a variation of linear regression and is useful when the observed dependent variable, y, is categorical. It produces a formula that predicts the probability of the class label as ...

Purpose To collect data for the development of a more universally useful logistic regression model to distinguish between a malignant and benign adnexal tumor before surgery. Patients and Methods ...