There are many different ML techniques you can use for binary classification. Logistic regression is one of the most common. Logistic regression is best explained by example. Continuing the example ...

Simulation results in comparison with other four deep learning methods in terms of F1-score and precision show that using logistic regression, is more efficient and the highest classification accuracy ...

We compare the results, benefits and disadvantages of two techniques for modelling wildlife species distribution: Logistic Regression and Overlap Analysis. While Logistic Regression uses mathematic ...

Logistic regression is a technique used to make predictions in situations where the item to predict can take one of just two possible values. For example, you might want to predict the credit ...