In Python, binary classifiers can be implemented using the scikit-learn library. For instance, the LogisticRegression class provides a simple binary classifier model that can be trained on labeled data using the fit() method. Once trained, the model can be used to predict the class labels of new data points using the predict() method. Performance metrics like accuracy, precision, and recall can be computed using evaluation metrics from the same library.
