Binary classification is a type of image classification where you essentially train a model on two different labelled objects. Then, when you deploy the model, the ESP32 can calculate a percentage ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...

Publications of the Astronomical Society of the Pacific, Vol. 132, No. 1010 (2020 April), pp. 1-11 (11 pages) Typically, binary classification lens-finding schemes are used to discriminate between ...