Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily ...

For binary classification models, in addition to accuracy, it's standard practice to compute additional metrics: precision, recall and F1 score. After evaluating the trained network, the demo saves ...

Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods may work poorly for binary classification.